Creating and sustaining a global community of scholars
MIS Quarterly
Business language analysis for object-oriented information systems
IBM Systems Journal
Libraries' new role in electronic scholarly publishing
Communications of the ACM
Journal of the American Society for Information Science
The Unified Modeling Language user guide
The Unified Modeling Language user guide
XML: Extensible Markup Language
XML: Extensible Markup Language
Computer Networking and Scholarly Communication in the Twenty-First-Century University
Computer Networking and Scholarly Communication in the Twenty-First-Century University
Aris--Business Process Modeling
Aris--Business Process Modeling
Defining Collections in Distributed Digital Libraries
Defining Collections in Distributed Digital Libraries
Experiences using systematic review guidelines
Journal of Systems and Software
SKIing with DOLCE: toward an e-Science Knowledge Infrastructure
Proceedings of the 2008 conference on Formal Ontology in Information Systems: Proceedings of the Fifth International Conference (FOIS 2008)
Experiences using systematic review guidelines
EASE'06 Proceedings of the 10th international conference on Evaluation and Assessment in Software Engineering
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Scientific knowledge is increasingly being stored in online infrastructures such as electronic journals, digital libraries and online encyclopedias. Their designers need to find an adequate approach for representing this knowledge. Unfortunately, most online infrastructures adopt the traditional article-issue-journal model which is based on print technology. This article develops an alternative model for the representation of scientific knowledge which is based on epistemology—the theory of knowledge. The characteristics of scientific knowledge identified by four philosophers of science—Popper, Nagel, Dubin and Bunge—are synthesized into a conceptual model which can be used as the foundation of scientific knowledge infrastructures in an online environment. The article shows that much more fine-grained structures are needed for representing scientific knowledge. Knowledge should not be accumulated as a collection of articles but as a network of epistemologically relevant elements such as theories, concepts, statements, facts etc.