Ontologies for Enterprise Modelling

An Enterprise Model is a computational representation of the structure, activities, processes, information, resources, people, behaviour, goals and constraints of a business, government, or other enterprise. It can be both descriptive and definitional spanning what is and what should be. The role of an enterprise model is to achieve model-driven enterprise design, analysis and operation.

[1]  Michael Grüninger,et al.  A generic enterprise resource ontology , 1994, Proceedings of 3rd IEEE Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises.

[2]  S. Savory,et al.  Artificial intelligence and expert systems , 1988 .

[3]  Peter Bernus,et al.  Architectures for Enterprise Integration , 1996, IFIP Advances in Information and Communication Technology.

[4]  Richard J. Mayer,et al.  Situations and Processes , 1996 .

[5]  Thomas R. Gruber,et al.  Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..

[6]  François Vernadat,et al.  Enterprise Integration: On Business Process and Enterprise Activity Modelling , 1996 .

[7]  Ramanathan V. Guha,et al.  Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project , 1990 .

[8]  Michael Gruninger A Theory of Complex Actions for Enterprise Modelling , 1995 .

[9]  Mark S. Fox,et al.  The Role of Competency Questions in Enterprise Engineering , 1995 .

[10]  Mark S. Fox,et al.  An organisation ontology for enterprise modeling: preliminary concepts for linking structure and behaviour , 1996 .

[11]  Mark S. Fox,et al.  A Requirement Ontology for Engineering Design , 1996 .

[12]  John Mylopoulos,et al.  AI Models for Business Process Reengineering , 1996, IEEE Expert.

[13]  August-Wilhelm Scheer Enterprise-Wide Data Modelling: Information Systems in Industry , 1990 .

[14]  Craig Schlenoff,et al.  Unified Process Specification Language: Requirements for Modeling Process , 1996 .

[15]  Mark S. Fox,et al.  AI and expert system myths, legends, and facts , 1990, IEEE Expert.

[16]  Ronald M. Lee,et al.  Bureaucracies as deontic systems , 1988, TOIS.

[17]  Michael Uschold,et al.  The Enterprise Ontology , 1998, The Knowledge Engineering Review.

[18]  Michael Gruninger,et al.  Methodology for the Design and Evaluation of Ontologies , 1995, IJCAI 1995.

[19]  Robert A. Nado,et al.  COMET: An Application of Model-Based Reasoning to Accounting Systems , 1996, AI Mag..

[20]  Michael Grüninger,et al.  An organisation ontology for enterprise modelling: preliminary concepts for linking structure and behaviour , 1995, Proceedings 4th IEEE Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE '95).

[21]  Michael Grüninger,et al.  An ontology of quality for enterprise modelling , 1995, Proceedings 4th IEEE Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE '95).

[22]  Michael Grüninger,et al.  A cost ontology for enterprise modelling , 1994, Proceedings of 3rd IEEE Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises.