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Group Title: Department of Computer and Information Science and Engineering Technical Reports
Title: On bridging and extending OMG/IDL and STEP/EXPRESS for achieving information sharing and system interoperability
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Permanent Link: http://ufdc.ufl.edu/UF00095358/00001
 Material Information
Title: On bridging and extending OMG/IDL and STEP/EXPRESS for achieving information sharing and system interoperability
Series Title: Department of Computer and Information Science and Engineering Technical Reports
Physical Description: Book
Language: English
Creator: Su, Stanley Y. W.
Lam, Herman
Yu, Tsae-Feng
Lee, Sooha
Arroyo, Javier
Express User Group Conference
Publisher: Department of Computer and Information Science and Engineering, University of Florida
Place of Publication: Gainesville, Fla.
Publication Date: 1995
Copyright Date: 1995
General Note: Paper published in the Fifth Annual Express User Group International Conference (EUG '95), Grenoble, France, 21-22 October 1995
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Bibliographic ID: UF00095358
Volume ID: VID00001
Source Institution: University of Florida
Holding Location: University of Florida
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Full Text

Paper to be published in the Fifth
Annual Express User Group
International Conference (EUG '')
Grenoble, France, 21-22 October 1995

On Bridging and Extending OMG/IDL and STEP/EXPRESS
for Achieving Information Sharing and System Interoperability *

Stanley Y. W. Su, Herman Lam, Tsae-Feng Yu
Sooha Lee, and Javier Arroyo

Database Systems Research and Development Center
University of Florida

On Bridging and Extending OMG/IDL and STEP/EXPRESS
for Achieving Information Sharing and System Interoperability *

Stanley Y. W. Su, Herman Lam, Tsae-Feng Yu
Sooha Lee, and Javier Arroyo

Database Systems Research and Development Center
470 CSE Building
University of Florida
P. O. Box 116125
Gainesville, Florida 32611-6125
Email: -*,, ;- ,nf edu
Telephone: (904) 392-21.'1;
FAX: (904) 392-1220

October 4, 1995

This paper describes an integrated information modeling language called NCL which combines
the features of IDL and EXPRESS as well as the features of the association types and knowledge
rule specifications offered by the Object-oriented Semantic Association Model (O.\ \I '). In this
language, frequently used constraints are specified by keywords, association types among object
classes are specified in association specifications, behavioral properties of objects are defined in
method specifications, and complex semantic constraints of various types are specified by Event-
Condition-Action-AlternativeAction (ECAA) rules. ECAA rules also provide a mechanism for
specifying the control relationships among various servers in a heterogeneous computing envi-
ronment. Keyword constraints and association types are defined in a meta-model (the model of
the underlying kernel model of NCL) in terms of parameterized rules which are automatically
bound to those classes that use these constraint and association types. At run-time, all rules
associated with these classes are used by the rule processor of the KBMS to enforce the the
semantics of the constraints and association types. Additional semantic properties found in a
heterogeneous environment can be easily introduced into NCL due to the extensibility feature
of the language and its supporting system. In this paper, we shall explain how such an enriched
language can be used to extend STEP/EXPRESS as an information modeling language for
defining product data, workflows and software systems and to extend OMG/IDL as an interface
definition language for achieving "rule-based iii ... I. i .II... I in the framework of CORBA.

Acknowledgement: This work is supported by the Advanced Research project Agency under
ARPA Order #B761-00. It is a part of the R&D effort of the NIIIP Consortium. The ideas and
techniques presented here are those of the authors and do not necessarily represent the opinion of
other NIIIP Consortium members.

1 Introduction

Data sharing and program reuse across distributed, heterogeneous computing platforms have be-
come one of the most challenging problems facing the computer science and engineering commu-

nities. In order to access information which are generated, stored and managed by dissimilar
information systems and to activate program services which are available in heterogeneous soft-
ware systems, national/international information infrastructure protocols need to be established.
Two independent efforts on standards are particularly relevant to the development of these proto-
cols; namely, the efforts of the Object Management Group (OMG) and the International Standard
Organization's Committee on the STandard for the Exchange of Product model data (ISO/STEP).
OMG is formed by a consortium of over 500 industrial companies which aims to define and
develop object-oriented technologies for achieving the interoperability among dissimilar computing
platforms. It proposed a Common Object Request Broker Architecture (CORBA) [25] for achieving
object interoperability. Based on the architecture, objects can make requests which are dispatched
to the proper object servers and receive responses from them. The interfaces of all objects of interest
are specified in a common Interface Definition Language (IDL) [1, 25]. An interface specification
is compiled to generate program skeletons and stubs for inclusion into server programs and client
programs, respectively. At run- time, a human or a software client can make remote calls for
object services provided by the servers in a heterogeneous network, thus achieving the client/server
interoperability. This approach achieves the "method-based interoperability".
The ISO/STEP community, on the other hand, emphasizes the development of standards for
product modeling and product data exchange. One of its major efforts is the development of an
information modeling language named EXPRESS [11]. EXPRESS provides a rich set of constraint
specifications by using keywords, functions, procedures and constraint rules. It is a powerful in-
formation modeling language. The language has been widely accepted and used by a number of
product design and manufacturing communities.
In spite of the individual success and acceptance of these two standards efforts, the results
produced by each does not adequately solve the data sharing and program interoperability problems
found in a heterogeneous environment. For example, the underlying object model of OMG's IDL is
that of C++. While it may be adequate for achieving program interoperability (since the underlying
data models of most of the existing 0-0 programming languages have the similar modeling power
as IDL), the semantics captured by IDL is not rich enough for modeling complex objects processed
by many existing application systems. When IDL is used as the common modeling language to
model and encapsulate the objects and object services of an existing application system (e.g., a
relational database application or a CAD application), much of the semantics of the objects cannot
be captured explicitly because IDL does not have the necessary modeling constructs for capturing
constraints by keywords and/or by integrity rules. Thus, much of the needed semantics have to
be embedded in the application code. Recognizing the limitations of the object models underlying
most of the existing object- oriented DBMSs, the Object Data Management Group (ODMG [4, 9])
has made some effort to extend the object model's capabilities to capture semantic constraints.
However, these extensions are still far from meeting the actual needs for information modeling of
complex manufacturing products.
On the other hand, although EXPRESS is semantically much richer than IDL and has an object-
oriented flavor, it is not an object-oriented information modeling language because it does not
support the encapsulation of behavioral properties of objects. Unlike methods found in an object-
oriented model, functions and procedures defined in EXPRESS are global properties in a schema
and are used in rules for constraint specifications. Also, the rule specification facility in EXPRESS
has a limited expressive power. It is used mainly for specifying inter-attribute constraints. Also,
there is a lack of constructs for specifying different types of associations and constraints among
entities. Some of these limitations of EXPRESS have motivated different groups' efforts in extending
combine the behavioral specification of IDL and the information modeling power of EXPRESS

with some extensions into a single well-integrated object model and modeling language, then the
resulting object model and language can be ideal for modeling objects and object services in a
network of heterogeneous computing systems. The language can be designed to conform to the two
standard languages (IDL and EXPRESS) semantically and, as much as possible, syntactically. It
will be easy to use; particularly for those who already familiar with the two standard languages.
The design and development of such a language can also serve as the glue that binds the two very
active standards communities which have been working more or less separately so far.
The limitations of the above two standard languages and the potential advantages of their in-
tegration have motivated our work on an extensible and semantically-rich object model and its
extensible modeling language. This R&D effort is a part of the project entitled the National In-
dustrial Information Infrastructure Protocols (NIIIP) supported by the Technology Reinvestment
Program (TRP) of the Advanced Research Project Agency (ARPA) [6]. A main objective of NIIIP
is to develop an information infrastructure to support the operation of a virtual enterprise (VE).
This infrastructure would allow a number of organizations to rapidly develop a working environ-
ment to manage a collection of resources contributed by the organizations toward the attainment of
some common goals. Our objective is to develop a NIIIP Common Language (NCL) for modeling,
not only the data and program resources of some existing (or legacy) systems contributed by the
organizations of a virtual enterprise, but also the new organizational structure, workflow manage-
ment, enterprise-wide semantic constraints, integrity and security rules, mediation and negotiation
procedures and rules, object associations across systems, etc. The modeling requirements in the
NIIIP environment demand that the underlying object model, the modeling language, and their
supporting software system be semantically rich and extensible.
The focus of this paper is to describe the integration and extension of IDL and EXPRESS. The
remainder of the paper is organized as follows. Section 2 discusses the modeling requirements in the
NIIIP environment. Section 3 gives the overall syntactic structure of a schema defined in NCL. The
extended features of the language, namely, constraints specified by keywords, association types, and
ECAA rules are explained and illustrated by examples. Section 4 describes the key components
of a knowledge base management system called OSAM*.KBMS [14, 15, 30, 31, 32, 33] and their
build-time and run-time supports to the NCL language. A conclusion is given in Section 5.

2 NIIIP's Modeling Requirements

In order to develop an information infrastructure to support the interoperability of distributed and
heterogeneous systems and to control and conduct the business of a virtual enterprise, it is nec-
essary to model all aspects of the virtual enterprise such as data, human and hardware resources,
organizational structures, business constraints, production process, and work management activi-
ties. The resulting conceptual model is an abstraction and a computational representation of the
real-world objects, each of which can be a physical entity, abstract thing, concept, relationship,
function, process, or anything of interest to a virtual enterprise. It captures the structural and
behavioral properties of these objects as well as the constraints associated with them. We define
some modeling requirements below and describe a processing engine in Section 4.
Object-oriented Representations of Existing Data and Application Systems' Resources. Mem-
ber organizations possess all sorts of data and application systems' resources which are generated
and used by different types of information users and/or heterogeneous information systems (e.g.,
relational application systems, CAD systems, SDAI/STEP applications, etc.). In a virtual enter-
prise environment, these data and systems resources can be uniformly modeled as objects in an
object-oriented framework. Their data properties, associations (i.e., semantic relationships between

or among object types and their instances), constraints and operations (or methods) are defined
by their object types resulting in a number of "object-oriented local conceptual -.1. I 11.1-". Each of
these schemas captures the semantic contents of the data and application systems' resources of a
member organization that are deemed useful for the business operations and activities of a virtual
Modeling of Virtual Enterprise Components. A number of VE Components are being devel-
oped by the NIIIP consortium to control the access and use of data and software resources of
heterogeneous systems. They can be modeled in an object-oriented paradigm as object classes
and their inter-relationships by various association types. These components' interfaces need to
be explicitly defined so that their functionalities (or object services) are made known to NIIIP's
human and software clients as well as to the components themselves. Activation of these services
are done by either local message passing or by remote method calls through an ORB or other
multi-transport data services. The models of these components are again captured in a number of
object-oriented local conceptual schemas.
Modeling of Other VE Resources and Global Information. In addition to the modeling of ex-
isting data and application systems' resources and VE Components, other resources, such as tools,
people, hardware devices, organization units and structures, and physical capital and monetary
resources need to be modeled in the object-oriented framework. Some of these resources can be
modeled by intelligent agents which represent the "ini. I. -i -" of these resources in the NIIIP envi-
ronment. Furthermore, VE information which is "global" in nature and is to be shared by some
VE Components will have to be modeled to inter-relate the modeled objects. Examples of such
global information include:

new associations that link object types of different local schemas

new constraints to be imposed on them

work management models that control the VE project or production activities

negotiation procedures and rules that deal with the requests and deliverables of services

mediation rules and operations needed to resolve the naming, structural and semantic conflicts
and discrepancies among local and global resources

3 NIIIP Common Language (NCL)

The modeling requirements for a virtual enterprise environment discussed in the previous section
have motivated and guided our design and development of NCL. In this section, the overall syntactic
structure of a schema defined in NCL is given. Then, the features of the language which are exten-
sions to EXPRESS and IDL are explained and illustrated by examples. Finally, the extensibility
feature of NCL is discussed.

3.1 The Overall Structure of an NCL Schema

NCL is an integration of the language features of IDL, EXPRESS and K.3. The third language is
the version 3 of an implemented knowledge base programming language developed at the University
of Florida [3, 28, 29]. NCL's underlying object model is the extensible object model of K.3 which
is founded on the concept of objects and object associations introduced in the Object-oriented
Semantic Association Model (OSAM* [30]) and its algebra and calculus ([12, 34]). NCL uses 1)
the method specification facility of IDL, 2) the type and entity specifications and the keyword

constraints (i.e., constraints specified by keywords) of EXPRESS, and 3) the knowledge rule spec-
ification, the language extensibility features, and the association type specification of K.3. Instead
of presenting the detailed syntax and semantics of NCL, we shall describe the overall structure of
the language. We shall assume that the reader is familiar with EXPRESS and IDL.
Overall Structure of an NCL Schema

(* SCHEMA declaration. *)

(* The SCHEMA class has an inclusion relationship with its component class
types *)
DEFINE SCHEMA schema_id;


(* TYPE declaration *)
DEFINE TYPE type_id = underlying_type IN schema_id;
WHERE (* domain rule in TYPE *)
rule_label_l: expression_1;

EXCEPTION exception_id (var_l:type_l;..);

METHOD [ONEWAY] method_id
([INIOUTIINOUT] para_id:para_type; ...): return_type
[RAISES (exceptionid, ...)];


(* ENTITY declaration *)
DEFINE ENTITY entity_id IN schema_id;
SUPERTYPE OF (supertype_expression) (* supertype declaration *)
SUBTYPE OF (subtype list) (* subtype declaration *)
attr_id: [OPTIONAL] base_type [WHERE ([TOTAL]
[CARDINALITY([L1:U1]: [L2:U2])]) ];




[WHERE (* domain rule in ENTITY *)
rule_label_l: rule_expression_l;

ASSOCIATIONS: (* Other association types *)
INTERACTION OF (attr_link_l:Entity_l;attr_link_2:Entity_2;...)
(attr_link_l:attr_link_2= [L1:U1]: [L2:U2];...);

METHODS: (* method declaration *)
EXCEPTION exception_id (var_l:type_l;..);

METHOD [ONEWAY] method_id
([INIOUTIINOUT] para_id:para_type; ...): return_type
[RAISES (exceptionid, ...)];

(* Local rule declaration *)
RULE ruled
[TRIGGERED triggered_time trigger_operation, triggered_time
trigger_operation, .....]
[CONDITION condition_clause]


(* Global RULE declaration *)
RULE rule_id;
[TRIGGERED triggered_time trigger_operation, triggered_time
[CONDITION condition_clause]

(* Method implementation *)
METHOD [class_id::]method_id;

The above structure gives the skeletal specifications of schema, type, entity, global rule, and
method implementation. The symbols and clauses enclosed in a pair of brackets [ ] can be optional
when other mandatory or optional symbols and clauses are present. The syntax of NCL resembles
that of EXPRESS. However, minor changes have been made to EXPRESS in order to introduce
the language extensibility feature and other added features of NCL.

3.2 Schema, Type and Entity Specifications

NCL provides the constructs for defining schemas, data types and entities. Their definitions are
enclosed by a pair of keywords DEFINE and END_DEFINE. In NCL, a schema is treated as a first
class object. The resources of different organizations participating in a virtual enterprise can be
defined by separate schemas and their interrelationships can be specified by associations among
these schema objects much the same way as the associations among data objects. The definitions
of TYPE and ENTITY are similar to those of EXPRESS except that their semantic contents are
enriched. In the TYPE specification, the behavioral properties of a data type are specified in terms
of methods which have the same semantic contents as IDL's interface specifications.
In the definition of an ENTITY, the SUPERTYPE/SUBTYPE specification is the same as
EXPRESS. The attribute specification and frequently-used constraints defined by keywords (e.g.,
UNIQUE, OPTIONAL, DERIVE, and INVERSE which we called "keyword constraints") are the
same as EXPRESS. Additional constraints such as 1) TOTAL (i.e., the total participation constraint
which specifies that all the objects in the class from which the attribute draws its values have
to associate with some objects which have the attribute), 2) CARDINALITY (i.e., cardinality
mappings between the class in which the attribute is defined and the class from which the attribute
draws its values), and 3) other user-defined constraints associated with the attribute are specified
as identifiers which follow the keyword WHERE.
In addition to the above structural and constraint specifications of an ENTITY, methods, rules
and associations can be specified as part of the ENTITY declaration. They are described in the
following two subsections.

3.3 Association Specifications
The ASSOCIATION specification in the ENTITY declaration is borrowed from the OSAM* model.
In OSAM*, entities defined in a schema or across schemas can have different types of semantic as-
sociations (or relationships). In fact, the superclass-subclass and attribute specifications in an
ENTITY declaration are two general types of associations; namely, Generalization and Aggrega-
tion associations which have long been recognized by the database community [27]. These two
association types are predefined types in the kernel model of NCL. Other association types can
be introduced by means of model extension for capturing the diverse and complex semantic rela-
tionship among object classes. For example, the INTERACTION association type shown in the
ENTITY declaration can be useful for capturing the relationships between Employee-Department,
Part-Supplier, etc. Association types such as SEQUENTIAL, PARALLEL, SYNCHRONIZATION,
TESTING, DATAFLOW, and DECOMPOSITION can be used to model the interrelationships
among workflow activities or manufacturing processes.
Figure 1 shows a simple model of a manufacturing process defined by a number of interrelated
process classes named DispatchParts, DesignProduct, AssembleProduct and TestProduct. In the
semantic diagram, process classes are represented by rectangles labeled with a "P". Aggregation
associations (labeled with an "A") are used to define the data attributes of these process classes.
These attributes are used to describe a process in terms of the data it manipulates. Data flow
relationships among processes are represented by DataFlow associations (labeled with an "F"). A
DataFlow association models the fact that the defining class (sending process) sends some data ob-
jects to one or more constituent classes (receiver processes). In a DataFlow association, a parameter
output_data is used to specify the data objects that are transferred between processes. For example,
in Figure 1, the process DesignProduct sends "product design" to process AssembleProduct and
process TestProduct; AssembleProduct sends "assembled_product" to TestProduct; TestProduct

Figure 1: A Simple Model of a Manufacturing Process

sends testt. -,,11 to DesignProduct, and DispatchParts sends "1p.. to AssembleProduct.
Notice also in Figure 1 the use of a Decomposition association, labeled with a "D", to connect
the process AssembleProduct to the schema class AssembleSchema. A Decomposition association
is used to specify that a class (the defining class) is decomposed into a more detailed model defined
by a schema (the constituent class). In our example, the process AssembleProduct is decomposed
into a set of interrelated subprocesses EtchBoard, PutParts and SolderParts, which are modelled in
the schema AssembleSchema. The Decomposition association type allows a process in a top-level
view of a process model, which is treated as a blackbox with its input and output information,
to be linked to a detailed and decomposed view of the process. The decomposed model of the
process may again contain a process which is further decomposed and represented by a third level
schema. The decomposition association type is not only applicable to processes, but also to any
other type of classes for which a schema is defined as a detailed representation (such as a software
component). This hierarchical decomposition of object classes is not supported by most of the
existing object- oriented data models. However, it is very useful for modeling objects with different
level of abstractions.
In most of the existing information system development methodologies (e.g., IE [24] and SSADM
[8]), separate tools are used for managing data resources and business workflows/processes. For
example, data resources are defined by data models such as the relational model [7], the Entity-
Relationship model [5] and its variations, IDEF-1X [20]. Whereas, businessworkflows/processes are
defined using models like IDEFO [10], KI-SHELL [13] and DFD [22]. However, in the real world, data
resources and business workflows/processes are closely related and highly inter-dependent. They
model complementary aspects of a real or virtual enterprise. Thus, it is essential for information
systems of the future to model and manage data and business workflows/processes in an integrated
manner. Efforts in integrating different modeling languages can be found in projects such as and

AMADEUS [21] and TEMPORA [26]. By doing so, the inter-relationship among data resources
and business workflows/ processes can be examined, their consistency can be verified, the flow
of data/information among the business functional components or production processes can be
studied to identify and, thus, avoid bottlenecks, and the performance metrics associated with these
components and processes can be gathered. This is essential for achieving the concepts of enterprise
integration and virtual enterprise.

3.4 Method and Rule Specifications

In modeling products, software components, or any other type of objects, it is not sufficient to model
only their structural properties. The behavioral properties in the form of methods or operations
need to be defined also so that only meaningful operations can be performed on them. Further-
more, in addition to frequently used constraints expressed by keywords, many complex semantic
constraints, business rules, government policies, etc., which can only be expressed in a powerful
rule specification language, need to be explicitly defined. In an entity class declaration in NCL, a
number of methods and knowledge rules can be defined which are used for processing the instances
of the entity class. The method and exception specifications are borrowed from IDL. However, the
syntax has been changed to conform to the syntax of K.3.
The rule specification is borrowed from K.3. Different from the constraint rules of EXPRESS,
which are used for specifying inter-attribute constraints, rules in NCL are Event- Condition-Action-
AlternativeAction rules (or ECAA rules). An ECAA rule contains 1) an event (or Trigger) specifi-
cation which includes the operations that trigger the evaluation of the CAA parts of a rule and the
time for the evaluation relative to the event that triggers it (Before/ immediate_after/after), 2) a
condition specification which may involve the verification of a complex pattern of object intercon-
nections in multiple object classes, a complex quantified expression that involve multiple attributes
of different classes, and/or a guarded expression that involves multiple data conditions which are
to be evaluated sequentially, 3) an action specification which specifies a list of system-defined oper-
ations (i.e., knowledge base retrieval and manipulation operations) and/or user-defined operations
(i.e., methods) which are to be processed if the condition specification is evaluated to True, and 4)
an alternative action specification whose operations are to be processed if the condition specification
is evaluated to False.
The CAA parts of a rule can be tib-':. i.1 before or immediate-after the occurrence of a trig-
ger_operation specified in the event part of the rule or after a transaction commit. A tilb.-. -. I
operation may in turn trigger other rules. The automatic enforcement of these rules makes the un-
derlying system active. It has been widely recognized that the concepts and techniques of agents,
mediators and negotiators [18, 19, 36, 37] are very useful for achieving information and program
sharing in a complex, heterogeneous computing environment. The rule specification mechanism of
the NCL is useful for implementing agents, mediators and negotiators in a heterogeneous comput-
ing environment because their implementations can make use of the active capability of monitoring
events and automatically causing some intelligent behaviors to be carried out. It should also be
emphasized that the rule specification language of NCL is far more powerful than the constraint
rule of EXPRESS because the latter does not have the event/trigger specification capability nor the
specification of complex conditions that involve the processing of attributes and object instances
of multiple classes. Although, EXPRESS allows the inclusion of functions and procedures in con-
straint specifications (e.g., f(x) = 2), they are not operations or methods that can be activated
based on the result of a condition evaluation. The ECAA rules are useful for defining security and
integrity constraints, business constraints, policies and regulations, negotiation rules, mediation
rules, agent activities, etc. Some examples on the application of rules are given below:

Example 1: (Security constraint) In class ServerA, before executing the method called name_service,
execute the method get_permission() defined in the object class SecurityManager:

RULE get_perml
TRIGGERED BEFORE name_service()

The above is an example of a security rule which checks the authorization of a request for a
name service. Notice that a method is invoked on another object, in the class SecurityManager,
with the ServerA object (SELF) and method name as parameters.

Example 2: (Referential constraint) Before deleting a Department object, delete all the working
records of the employees that work in the department. In class Department:

RULE remove_emp_records
CONTEXT SELF [dept] w:Works_on [emp] Employee

Notice the use of the CONTEXT statement, which is used for the retrieval of objects from the
knowledge base using an association pattern specification. In this example, all the "w" Works_on
instances which are associated with the Department (SELF) and any Employee are deleted. The
attributes "dept" and "emp" are defined in the class Works_on.

Example 3: (Mediation) Before retrieving a design in EXPRESS, check whether the design is
defined in CATIA. If so, convert from CATIA to EXPRESS.

RULE mediation
TRIGGERED BEFORE retrieve_design(design_id : String)
WHERE d.design_id = design_id AND d.representation = "CATIA"

3.4.1 Global Rules and Method Implementations

Global rules are those rules which are applicable to the objects of all the classes. If some rules
are applicable only to the objects of some specific classes, they can be defined as local rules in a
superclass of these classes and be inherited by them. This is similar to the definition of common
attributes and/or methods in the superclass of a number of subclasses. Thus, NCL supports not
only the multiple inheritance of attributes and methods, but also ECAA rules. Rules are naturally
distributed among classes in a class hierarchy or lattice.

The method implementation provides the actual program code for implementing the corre-
sponding method specification. It can be coded in any programming language. In our work, we
use K.3 as a programming language for method implementation for NCL. Therefore, with the defi-
nition facilities shown in the above structural declaration and the programming language facilities
adopted from K.3, NCL can be considered as a full-fledged, high-level, extensible, object-oriented
programming language.

3.5 NCL Extensibility

The existing data models and their modeling languages, such as the relational model, the ER model
and its extensions, the object-oriented models and these models' DDLs, have a fixed set of modeling
constructs. The semantics of these constructs are generally hard-coded in the DBMSs that use
them. EXPRESS, as an information modeling language, is not an exception. It also has a fixed set
of modeling constructs (e.g., type, entity, rule, function, keywords for specifying constraints, etc.).
When a modeling language and its supporting system are used in different applications, the users
often find that the fixed set of modeling constructs are not adequate for capturing the semantics
found in data, programs, and other resources needed in these applications. They would like to see
that the language and the system be extended to increase their functionalities. Unfortunately, any
change or addition made to an underlying data model and its language will entail difficult and costly
changes to the language translator as well as the supporting system. Ideally, both the language and
the system should be extensible. Any change made to the underlying data model will automatically
be reflected in the language and the system without changing the language translator or recoding
the system. Thus, they can be extended and tailored to fit different application environments and
In the NIIIP environment, different virtual enterprises may have different requirements for mod-
eling the objects, object services, constraints and association types found in their own environments.
New semantic properties in terms of new data types, association types, and constraint types often
need to be added to the modeling language to meet the changing needs of these virtual enterprises.
For this reason, NCL is designed and implemented as an extensible information modeling language.
The extensibility features of NCL are provided through the use of a meta-model, parameter-
ized rules, a rule-binder, and a rule processor. A meta-model is the result of using the modeling
constructs of NCL to model itself. The extensible meta-model for NCL begins with a simple kernel
which has the similar structural and behavioral specification capabilities as the object models of
many object-oriented systems, including the object model of OMG's IDL. The main difference is
that knowledge rules and parameterized rules can be specified in object classes to capture the se-
mantics of different types of constraints, classes and associations and to implement the extensibility
features of NCL.
Starting from the kernel object model, new modeling constructs such as new class types, con-
straint types, and association types can be added into the kernel object model by adding new
meta-classes to define these new types. The semantics of these new modeling constructs are defined
in the respective meta-classes in terms of parameterized rules. These rules defined the operations
that need to be performed on the affected objects when they are processed. The parameterized
rules are converted into bound rules at the schema compilation time by a rule binder and the bound
rules are incorporated into the object classes that make use of the modeling constructs. At run-
time, these rules are used by the rule processor to enforce the semantics of the modeling constructs.
Thus, by extending the meta-model, we can extend the modeling capabilities of the object model.
To achieve constraint-type extensibility, the semantics of all the keyword constraints (the ones
in EXPRESS and the extended ones) used in the language are defined by a set of parameterized

rules in the meta-model. When a schema is compiled, these rules are bound to those attributes
or object classes which have these constraint types. If a new constraint type and its semantic
specification in terms of parameterized rules have been added to the meta-model by a knowledge
base customizer, the constraint type can be used in a schema declaration without having to change
the NCL compiler.
In an EXPRESS schema, ENTITY and TYPE are treated as keywords since they are fixed con-
structs of the EXPRESS's underlying data model. In NCL, however, ENTITY, TYPE, SCHEMA,
and the names of other new class types are treated as identifiers instead of keywords to the NCL
compiler. The keyword DEFINE signals the compiler that the character string following it should
match with a class type defined in the meta-model. Other class types can be added to the meta-
model by the knowledge base customizer who customizes the object model to meet the modeling
needs of an application domain. For example, for workflow modeling, a class type named PROCESS
can be added to the meta model and the structural and behavioral properties and constraints can
be defined in the corresponding meta class. Any identifier can be used as the name of a class type
as long as the name used in NCL is consistent with the name used in the meta model in which
the class type is defined. Thus, by adding new class types into the meta model, we can extend the
modeling capability of NCL, thus achieving NCL's class-type extensibility.
To achieve association-type extensibility, the association types used in the example in Figure
1 and other user-defined association types can be defined in the meta-model by a knowledge base
customizer so that they can be used by the users of NCL. Similar to class types and keyword
constraint types, all association types are defined in the meta-model in terms of parameterized
rules. These rules defined the operations that need to be performed when the objects of those
classes which enter these association types are processed. They are converted into bound rules
at the schema compilation time and incorporated into the object classes that make use of the
association types as if the person who defines the schema has explicitly written these bound rules.
At run-time, these rules are used by the rule processor to enforce the semantics of the association
types. This feature of association-type extensibility allows any semantic relationships between or
among object classes (thus, among their instances) that are frequently used in an application to be
defined as association types. Once defined, the user can use these association types to relate object
classes without having to repeatedly specify their rules in all the classes that involve in these types
of associations.
The details of data model extensibility in NCL is beyond the scope of this paper. Interested
readers should refer to [17, 35].

4 NCL's Supporting System and Tools

The processing of NCL is supported by a knowledge base management system OSAM.KBMS and
a number of tools [32, 33]. Figure 2 shows the key components of the KBMS and tools. A number
of graphical tools called XGTOOLS (its earlier version was described in [16]) can be used to
define, edit and browse knowledge base schemas and to graphically query the schemas against their
instances stored in the knowledge bases. The defined schemas can then be translated into NCL in
a textural form. XGTOOLS also provides the editing facility for the user to enter NCL schemas
in textual forms directly. In addition to these graphical tools, an EXPRESS-to-NCL compiler is
available to import the existing EXPRESS schemas into NCL We have tested this compiler using
over 30 existing EXPRESS schemas. The mappings of the constructs of these two languages are
shown in Table 1. A translator is being developed to convert the existing IDL specifications into
NCL. In the NIIIP project, EXPRESS schemas and IDL specifications which define the data and

program interfaces of some legacy systems can be converted into NCL and additional resources of a
virtual enterprise (data, software systems developed in the NIIIP project, hardware devices, tools,
organizational structures, personnel resources, etc.) can be defined in NCL. Mediation rules are
then introduced to specify the mediation processes needed to bridge the structural and semantic
descrepancies between the modeled properties of heterogeneous systems. The result is a global
mediated schema which provides the global view of the virtual enterprise's knowledge base. The
global knowledge contains 1) the meta data useful for the controlled access to data and program
resources in a heterogeneous network (note: the actual data and programs are distributed among
different systems), and 2) the common data which are used by the NIIIP-developed software systems
to control the accesses of the data and software resources in the heterogeneous network.

Source Source User User User

Translation Translation Text Graphical Query
Graphical Tool
Tool Tool Editor Tools

0 NCL schema
E Cschema b run-time
NCL build-time ,
Translator KBMS Interface
Schema b-,mi- i ressio md Rule Bider

K 3 Binder
and Compiler Query Processor __ Request Mondtor
'e coe Object Manager Rule Processor I
DCompilr Storage Manager k c t. a. ...
--------- --------------------------'
Executable run-time
code Knowledge

Figure 2: KBMS Components and Tools for NCL

Using these two types of data, the KBMS provides two general types of services: Run-time and
build-time services. At build-time, if NCL is used to model a software system and to implement
the methods of its components (i.e., NCL is used as a knowledge base programming language), the
resulting model and method implementations are first translated into K.3. Then, a K.3 compiler is
used to generate .h files and C++/C code that corresponds to the structural and semantic properties
of the K.3 schema. During the translation, the semantics of keyword constraints, association types
and class types, which are stored in the corresponding meta classes as parameterized rules, are
translated into bound rules by a rule binder. These rules are bound to the classes in which the
constraint, association and class types are used. During this translation, the event specifications
of all the knowledge rules defined in the schema are used to produce code for program binding.
The CAA parts of all the rules are translated into C++/C methods. The C++ code produced by
the K.3 compiler is then compiled by a C++/C compiler to generate the executable code which is
linked with the components of the KBMS. At run-time, the KBMS provides the query processing
and rule processing functions and persistence support to the program.

Table 1: The mapping of EXPRESS and NCL

A second build-time service is to receive a NCL schema created by a client using a copy of the
XGTOOLS installed at the client site and establish the knowledge base for it. The client can then
populate the instances of the knowledge base at run-time using a query language. At run- time,
if a client (human or software client) wants to access the meta data or data stored in the KBMS,
he/she/it can make a method call to the query processor QP of the KBMS (see Figure 2) by passing
a query as a parameter (note: the functionality of KBMS and its QP are also defined in NCL). The
query language OQL (an early version of this language is reported in [2]) is used for this purpose.
During the execution of a query, if a system-defined operation (retrieve, delete, or update) or a
user-defined operation (display_part (), hireemployee(), etc.) given in the query meets the event
specification of an ECAA rule or rules stored in the KBMS, the condition part of the rules) will be
automatically ti l.-. .1 for evaluation. The action taken based on the result of the rule evaluation
may again trigger other rules. Query processing and rule processing make use of the functionalities
of an Object Manager which in turn makes use of those of the Storage Manager (Exodus) shown
in the figure.
A third build-time service of NCL and KBMS is to use knowledge rules to generate program
binding for achieving client-server interoperability. In the conventional CORBA environment, the
interfaces of these systems are defined in IDL. They are translated into program language bindings
(e.g., C and C++ stubs and skeletons) which are incorporated in the client and server programs
to achieve the run-time interoperability. The control and logical relationship among the clients
and servers are written in program code. Thus, the interoperability of the OMG architecture is
"iir. i1....1-1..,. .1". Whereas, in the NIIIP environment, the interfaces are defined in NCL which,
after the translation process described in a previous section, are essentially IDL specifications plus







Attribute specification and standard Same as EXPRESS
constraints defined by keywords

Additional and user-defined constraints Follow the keyword WHERE in
(e.g., TOTAL, CARDINALITY,etc) attribute delcaration


Domain-rule (WHERE clause) Same as EXPRESS
More semantic association types Defined in ASSOCIATIONS section

ECAA rules which capture the semantics of keyword or other user-defined constraints, association
types and class types. Rules can be used to define not only the constraints associated with data
but also the control logic that inter-relate the services of NIIIP VE servers. For example, upon
the receipt of a request from a client, a method in the session server is t i:--. ..1 to start a session,
the session service may in turn trigger a method in the workflow server. Furthermore, they can
be modified more easily than program code to reflect the new interrelationships among clients and
servers should their interrelationships change.
ECAA rules captured in NCL together with the NCL's method specifications, which are equiva-
lent to IDL specifications, can be used to generate language bindings for client and server programs
at the build-time. At run-time, the activations of object services as specified in the rules will be
carried out automatically across the ORB, meaning programs will be calling each other through
the ORB following the trigger and action specifications. For this reason, the proposed technique
is called "rule-based interoperability". To achieve this, we need to generate program stubs and
skeletons to implement the methods in NCL specifications but also a mechanism to monitor the ex-
ecution of the methods (request/event monitoring) and to trigger the processing of methods which
implement the CAA parts of rules (rule processing). For more details on the use of rules to achieve
"rule-based interoperability" among heterogeneous systems, the reader is referred to a full length
paper [35].

5 Summary and Conclusion

In this paper, we have stressed the importance of having an object model and language which
is standard-based, extensible, and semantics-rich for modeling the data, software and other re-
sources of a large real or virtual enterprise and for achieving rule-based interoperability among
heterogeneous systems. We presented an extensible language NCL which combines the features of
EXPRESS, IDL and our own K.3 languages. The key features of NCL are as follows:
1. The design of NCL is standards-based, incorporating the features of the two standard
languages, IDL and EXPRESS, and conforming to them as much as possible. It follows the basic
principles of the CORBA architecture for interface definition, with the added semantic richness of
2. NCL supports additional association types; i.e., different semantics properties can be at-
tached to different types of semantic associations between or among object classes so that, during
the processing of their object instances, the semantic properties of the association types can be
automatically enforced or maintained.
3. NCL contains a high-level rule specification component. Rules in NCL can used for defining
integrity and security constraints, government or enterprise policies and regulations, and other types
of semantic constraints that are local or global to heterogeneous systems. It allows the specification
of events that could automatically trigger the verification of the states of distributed data and take
alternative actions based on the result of the verification.
4. NCL is extensible. Additional semantic properties found in a heterogeneous environment can
be easily introduced into NCL and its object model as new constraint types, class types, and/or
association types. These extensions to NCL are automatically supported during execution, causing
no changes to the language compiler nor the supporting KBMS.
NCL is supported by the build-time and run-time services of an object-oriented KBMS and is
being applied in the NIIIP project to provide rule-based interoperability.


[1] L. Acker, et al., "SOMobjects Development Toolkit Users Guide," IBM, Version 2.0, June 1993.

[2] A. Alashqur, S. Y. W. Su and H. Lam, "OQL A Query Language for Manipulating Object-
oriented D.,i.,1.-" -", in Proc. of 15th Int. Conf. Very Large Databases, Amsterdam, Nether-
lands, pp. 433-442, August 1','i

[3] J. A. Arroyo-Figueroa, "The Design and Implementation of K.1: A Third Generation Database
Programming Language," Technical Report, Database Systems R&D Center, University of
Florida, August 1992.

[4] R. G. G. Cattell et al., "The Object Database Standard ODMG 93. Morgan Kaufmann", 1993.

[5] P. P. S. Chen, "The entity-Relationship Model: Toward a unified view of data," AC':. TODS,
vol. 1, no. 1, 1976.

[6] N. Christopher, et al. "The NIIIP Reference Architecture," Prepared for OMG Review, March

[7] E. Codd, "Relational Databases: A Practical Foundation for Productivity," CAC'., 25:2, De-
cember 1'-'1_

[8] E. Downs (ed), Structured Systems Analysis and Design Method Application and Context,
Prentice Hall International (UK) Ltd, 1'I-

[9] D. Florescu, L. Raschid and P. Valduriez, "Query Reformulation in Multidatabase Systems
using Semantic Knowledge," Paper Draft, 1995.

[10] "Integrated computer aided manufacturing (ICAM) architecture part II, Volume IV -function
modeling manual (IDEFO)", Report Number: AFWAL-TR-81-4023 V.4. SofTech Inc., 460 Tot-
ten Pond Road, Waltham, MA 02154.

[11] Subcommittee 4 of ISO Technical Committee 184, "Product Data Representation and Ex-
change Part 11: The EXPRESS Language Reference Manual," ISO Document, ISO DIS
10303-11, August 1992.

[12] N. Kamel, P. Wu and S. Y. W. Su, "A Pattern-Based Object Calculus," International Journal
on Very Large Data Bases, Boxwood Press, Vol. 3, No. 1, Jan. 1994, pp. 53-76.

[13] Knowledge-based Integration Methodology for Workflow Support (KIShell), UES Inc., 1993.

[14] H. Lam, S. Y. W. Su and A. Alashqur, "Integrating the Concepts and Techniques of SE-
mantic Modeling and the Object-oriented Paradigm," Proc. 13th I, 17 Computer Software 6
Applications Conference (COMPSAC), pp. 209-217, October 1','I

[15] H. Lam, et al., "Prototype implementation of an Object-oriented Knowledge Base Manage-
ment System," extended abstract in The Second Florida Conference on Productivity through
Computer, Integrated Engineering and Manufacturing, pp. 68-70, November 1'i-'

[16] H. Lam, S. Y. W. Su, et al., "GTOOLS: An Active GUI Toolset for an Object-oriented KBMS,"
International Journal of Computer System Science and E,.'i ',, ',,i Vol.7,No.2,pp. 69-" "-, April

[17] H. Lam, S. Y. W. Su, et al., "Model Extensibility in an Extensible Knowledgebase Management
System," submitted to IEEE Transactions on Knowledge and Data E,-i'" 1 '",.i

[18] Lander, S. and Lesser, V., "Customizing Distributed Search Among Agents with Heterogeneous
Knowledge," Proceedings of the First International Conference on I,,f," ;,1 I',-,, and Knowle dge
li,, .. i, i. ,. Baltimore, MD, November 1992.

[19] Lander, S. and Lesser, V., "Understanding the Role of Negotiation in Distributed Search
Among Heterogeneou s Agents," In Proceedings of the International Joint Conference on Arti-
ficial Intellig ence, August/September 1993.

[20] M. E. S. Loomis, "Data Modeling -The IDEF-1X Technique," IEEE communication, March

[21] P. Loucopoulous, W. J. Black, A. G. Sutcliffe, and P. J. Layzell, "Towards a unified view of
systems development methods," Int. J. Inf. Manage., 7:205-218, 1',";.

[22] T. De Marco, Structured Analysis and System Specification, Prentice-Hall, 1',-

[23] J. Martin, Information Engineering (Book 1: Introduction), Prentice Hall, Inc., Englewood
Cliffs, NJ, 1'1'i

[24] J. Martin, Information Engineering (Book 3: Design and Construction), Prentice Hall, Inc.,
Englewood Cliffs, NJ, 1990.

[25] OMG Committee, "The Common Object Request Broker: Architecture and Specification,"
OMG Document, Revision 1.1, No. 91.12.1, December 1991.

[26] TEMPORA. Project Manual Esprit Project 2469. Technical Report, BIM, Belgium, 1992.

[27] J. Smith and D. Smith, "Database Abstractions: Aggregation and Generalization", TODS,
2:2, June 1977.

-"] Y. M. Shyy, S. Y. W. Su, "K: High-level Knowledge Base Programming Language for Advanced
Database Applications," AC if SI(. I OD I,, / Conf. on 1I,. ii..1, ,., /I of Data, pp. 338-347, 1991.

[29] Y.M. Shyy, J. Arroyo-Figueroa, S. Y. W. Su, and H. Lam, "The Des ign and Implementation
of K: A High-level Knowledge Base Programming Language of OSAM*.KBMS," accepted for
publication in the VLDB Journal, 1995.

[30] S. Y.W. Su, V. Krishnamurthy and H. Lam, "An Object Oriented Semantic Association Model
(OSAM*)," AI in Industrial Engineering and lbif.,,,;, li,, ',q Theoretical Issues and Applica-
tions, American Institute of Industrial Engineering, 1'I"'

[31] S. Y. W. Su and A. M. Alashqur, "A Pattern-based Constraint Specification Language for
Object-oriented Databases," Proc. of IEEE COMPCON'91, San Francisco, Febrary 25- March
1 1991.

[32] S. Y. W. Su and H. Lam, "An Object-oriented Knowledge Base Management System for Sup-
porting Advanced Applications," Proc. of the 4th II I7 Hong Kong Computer Society Database
Workshop, pp. 3-22, December 12-13, 1992.

[33] S. Y. W. Su and H. Lam, et al., "OSAM*.KBMS: An Object-Oriented Knowledge-Base Man-
agement System for Supporting Advanced Applications," Proc. of the 1r'; AC I[ SI(, I[OD
I,,1'i Conf. on i., i. i, / of Data, pp. 540-541, 1993.

[34] S. Y. W. Su, M. Guo and H. Lam, "Association Algebra: A Mathematical Foundation for
Object-Oriented Databases,' Transactions on Knowledge and Data E,,;',, ,',i IEEE, Vol.
5, No. 5, Oct. 1993, pp. 775-7',1

[35] S. Y. W. Su and H. Lam, et al. "NCL: A Common Language for Achieving Rule-Based In-
teroperability among Heterogeneous Sy-i, i,-", Submitted for publication Journal of Intelligent
I,,,-I ... I',,- Systems, Special Issue, 1995.

[36] G. Wiederhold and M. Genesereth, "The Basis for Mediation," Proc. COOPIb ': Confer-
ence,Vienna Austria, May 1995.

[37] G. Wiederhold, Ini, operation, Mediation, and Ontologies", presented at the FGCS/ICOT
Workshop in Tokyo, 13 Dec. 1994.

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