Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
Compositional modeling: finding the right model for the job
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Formal ontology, conceptual analysis and knowledge representation
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Top-level ontological categories
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Sketch of an ontology underlying the way we talk about the world
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
On the relationship between ontology construction and natural language: a socio-semiotic view
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Computers in Industry - Special double issue: WET ICE '95
Parts, wholes, and part-whole relations: the prospects of mereotopology
Data & Knowledge Engineering - Special issue on modeling parts and wholes
Mereotopology: a theory of parts and boundaries
Data & Knowledge Engineering - Special issue on modeling parts and wholes
Understanding, building and using ontologies
International Journal of Human-Computer Studies
Roles are not classes: a reply to Nicola Guarino
International Journal of Human-Computer Studies
Choosing classes in conceptual modeling
Communications of the ACM
An organizational ontology for enterprise modeling
Simulating organizations
Putting the enterprise into the enterprise system
Harvard Business Review
An ontological analysis of the relationship construct in conceptual modeling
ACM Transactions on Database Systems (TODS)
Enterprise resource planning: introduction
Communications of the ACM
Enterprise resource planning: componentizing the enterprise application packages
Communications of the ACM
Information system integration
Communications of the ACM
CIMOSA: enterprise engineering and integration
Computers in Industry - CIMOSA: CIM open systems architecture evolution and applications in enterprise engineering and integration
Emancipating instances from the tyranny of classes in information modeling
ACM Transactions on Database Systems (TODS)
Chain or Shackles: Understanding What Drives Supply-Chain Performance
Interfaces - supply-chain management
Integrated value chains and their implications from a business and technology standpoint
Decision Support Systems - Special issue for business to business electronic commerce, issues and solutions
Organizational knowledge resources
Decision Support Systems - Knowledge management support of decision making
Technology for supporting supply chain management: introduction
Communications of the ACM
A collaborative approach to ontology design
Communications of the ACM - Ontology: different ways of representing the same concept
An Ontology for Quality Management — Enabling Quality Problem Identification and Tracing
BT Technology Journal
Enterprise integration with ERP and EAI
Communications of the ACM
Modeling Domain Knowledge Using Explicit Conceptualization
IEEE Expert: Intelligent Systems and Their Applications
CommonKADS: A Comprehensive Methodology for KBS Development
IEEE Expert: Intelligent Systems and Their Applications
Building a Chemical Ontology Using Methontology and the Ontology Design Environment
IEEE Intelligent Systems
Knowledge Processes and Ontologies
IEEE Intelligent Systems
Research Commentary: Information Systems and Conceptual Modeling--A Research Agenda
Information Systems Research
Overview and analysis of methodologies for building ontologies
The Knowledge Engineering Review
The Knowledge Engineering Review
Tutorial on ontological engineering: part 3: Advanced course of ontological engineering
New Generation Computing - Grid systems for life sciences
Relational Antecedents of Information Flow Integration for Supply Chain Coordination
Journal of Management Information Systems
Benefits of an item-centric enterprise-data model in logistics services: A case study
Computers in Industry
Patterns and technologies for enabling supply chain traceability through collaborative e-business
Information and Software Technology
An ontology-based architecture for implementing semantic integration of supply chain management
International Journal of Computer Integrated Manufacturing
Survey paper: A survey on the recent research literature on ERP systems
Computers in Industry - Special issue: Current trends in ERP implementations and utilisation
Managing traceability information in manufacture
International Journal of Information Management: The Journal for Information Professionals
Making sense of the e-supply chain landscape: an implementation framework
International Journal of Information Management: The Journal for Information Professionals
Expert Systems with Applications: An International Journal
Automatic Topic Ontology Construction Using Semantic Relations from WordNet and Wikipedia
International Journal of Intelligent Information Technologies
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In an environment where supply chains compete against supply chains, information sharing among supply chain partners using information systems is a competitive tool. Supply chain ontology has been proposed as an important medium for attaining information systems interoperability. Ontology has its origin in philosophy, and the computing community has adopted ontology in its language. This paper presents a study of state of the art research in supply chain ontology and identifies the outstanding research gaps. Six supply chain ontology models were identified from a systematic review of literature. A seven point comparison framework was developed to consider the underlying concepts as well as application of the ontology models. The comparison results were then synthesised into nine gaps to inform future supply chain ontology research. This work is a rigorous and systematic attempt to identify and synthesise the research in supply chain ontology.