Graph Theory, 1736-1936
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Conceptual schema and relational database design (2nd ed.)
Conceptual schema and relational database design (2nd ed.)
The Unified Modeling Language reference manual
The Unified Modeling Language reference manual
Towards text knowledge engineering
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
A collaborative approach to ontology design
Communications of the ACM - Ontology: different ways of representing the same concept
Predicting how ontologies for the semantic web will evolve
Communications of the ACM - Ontology: different ways of representing the same concept
Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
Towards a consistent logical framework for ontological analysis
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
A semantic network-based design methodology for XML documents
ACM Transactions on Information Systems (TOIS)
Creating Semantic Web Contents with Protégé-2000
IEEE Intelligent Systems
Data modelling versus ontology engineering
ACM SIGMOD Record
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A Practical Walkthrough of the Ontology Derivation Rules
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Ontology Versioning and Change Detection on the Web
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Introduction to Database Systems
Introduction to Database Systems
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The success of the semantic web relies heavily on ontologies. However, using ontologies for this specific area poses a number of new problems. One of these problems, extracting a high quality ontology from a given base ontology, is currently receiving increasing attention. Areas such as versioning, distribution and maintenance of ontologies often involve this problem. Here, a formalism is presented that enables grouping ontology extraction requirements into different categories, called optimization schemes. These optimization schemes provide a way to introduce quality in the extraction process. An overview of the formalism is discussed, as well as a demonstration of several example optimization schemes. Each of these optimization schemes meets a certain requirement, and consists of rules and algorithms. Examples of how the formalism is deployed to reach a high-quality result, called a materialized ontology view, are covered. The presented methodology provides a foundation for further developments, and shows the possibility of obtaining usable ontologies in a highly automated way. ACM Subject Descriptors ('98): H.3.5 [INFORMATION STORAGE AND RETRIEVAL]: Web-based services; I.1.2 [SYMBOLIC AND ALGEBRAIC MANIPULATION]: Algorithms; I.2.4[ARTIFICIAL INTELLIGENCE]: Semantic networks -- Representation languages.