The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Managing RDF Metadata for Community Webs
ER '00 Proceedings of the Workshops on Conceptual Modeling Approaches for E-Business and The World Wide Web and Conceptual Modeling: Conceptual Modeling for E-Business and the Web
Vampire 1.1 (System Description)
IJCAR '01 Proceedings of the First International Joint Conference on Automated Reasoning
IJCAR '01 Proceedings of the First International Joint Conference on Automated Reasoning
Views for light-weight Web ontologies
Proceedings of the 2003 ACM symposium on Applied computing
The PROMPT suite: interactive tools for ontology merging and mapping
International Journal of Human-Computer Studies
A reference ontology for biomedical informatics: the foundational model of anatomy
Journal of Biomedical Informatics - Special issue: Unified medical language system
Web ontology segmentation: analysis, classification and use
Proceedings of the 15th international conference on World Wide Web
Just the right amount: extracting modules from ontologies
Proceedings of the 16th international conference on World Wide Web
Practical partition-based theorem proving for large knowledge bases
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Decidability of SHIQ with complex role inclusion axioms
Artificial Intelligence
Viewing the semantic web through RVL lenses
Web Semantics: Science, Services and Agents on the World Wide Web
Representing transitive propagation in OWL
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
| Hi-index | 0.00 |
In this chapter we present an algorithm for extracting relevant segments out of large description logic ontologies for the purposes of increasing tractability for both humans and computers. We offer several variations on this algorithm for different purposes. The segments are not mere fragments, but stand alone as ontologies in their own right. This technique takes advantage of the detailed semantics captured within an OWL ontology to produce highly relevant segments. However, extracted segments make no guarantee for preserving the semantics of the complete ontology.