Enterprise Inter- and Intra-Organizational Integration

1. Overview and Results.- EI3-IC Overview.- ICEIMT: History and Challenges.- Accomplishments of the ICEIMT’02.- Enterprise Modelling and Integration.- 2. Knowledge Management in Inter- and Intra-Organisational Environments.- A Merged Future for Knowledge Management and Enterprise Modeling.- Anchoring Knowledge in Business-Process Models to support Interoperability of Virtual Organizations.- Managing Processes and Knowledge in Inter-Organisational Environments.- Ontologies and their Role in Knowledge Management and E-Business Modelling.- Semantic Bridging of Independent Enterprise Ontologies.- Active Knowledge Models and Enterprise Knowledge Management.- Synthesising an Industrial Strength Enterprise Ontology.- 3. Enterprise Inter- and Intra-Organisational Engineering and Integration.- Agents and Advanced Virtual Enterprises: Needs and an Approach.- Virtual Enterprise Planning Methods and Concepts.- Quality of Virtual Enterprise Reference Models.- The Business Process (Quiet) Revolution.- Enterprise Architecture and Systems Engineering.- Proposal of a Reference Framework for Manufacturing Systems Engineering.- The Users View of Enterprise Integration and the Enterprise Process Architecture.- Matching Teams to Business Processes.- Analysis of Perceptions of Personnel at Organisational Levels on the Integration of Product, Functional and Process Orientations.- Challenges to Multi-Enterprise Integration.- Practices in Knowledge Management in Small and Medium Firms.- Component-Based Automotive Production Systems.- The MISSION Project.- 4. Interoperability of Business Process and Enterprise Models.- System Requirements: Products, Processes and Models.- Ontologies as a New Cost Factor in Enterprise Integration.- From Integration To Collaborative Business.- EnterpriseInteroperability: A Standardisation View.- Interoperability of Standards to Support Application Integration.- MultiView Program Status: Data Standards for the Integrated Digital Environment.- Workflow Quality of Service.- Improving PDM Systems Integration Using Software Agents.- Ontologies for Semantically Interoperable Electronic Commerce.- 5. Common Representation of Enterprise Models.- Steps in Enterprise Modelling.- New Support Technologies for Enterprise Integration.- Some Methodological Clues for Defining a Unified Enterprise Modelling Language.- Common Representation through UEML — Requirements and Approach.- UML Semantics Representation of Enterprise Modelling Constructs.- Language Semantics.- Modeling of Distributed Business Processes.- Needs and Characteristics of Methodologies for Enterprise Integration.- Argumentation for Explicit Representation of Control within Enterprise Modelling and Integration.- Authors Index.