Large-scale information retrieval with latent semantic indexing
Information Sciences: an International Journal
Information storage and retrieval
Information storage and retrieval
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
OntoKhoj: a semantic web portal for ontology searching, ranking and classification
WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
IEEE standard upper ontology: a progress report
The Knowledge Engineering Review
Ontology ranking based on the analysis of concept structures
Proceedings of the 3rd international conference on Knowledge capture
Computer
Dynamic information and library processing
Dynamic information and library processing
Reflections on a medical ontology
International Journal of Human-Computer Studies
A tableaux decision procedure for SHOIQ
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
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Ontologies, as a knowledge representation paradigm, rely on semantics for performing logical inference. However, in the context of ontology query and reuse, the semantics are hard to be manipulated. When searching for ontologies and identifying potentially relevant candidates, a mechanism is required to exploit (i) the appropriate semantic restrictions as well as the (ii) meaning of concepts/properties. This paper proposes an approach that will address both requirements. The contribution of this paper is to conceptually detail how a set of ontology indices can be obtained. More specifically, to obtain a relevant set of keywords describing an ontology, we use logic-based constructors to generate an initial set of keywords. The meaning of these keywords is further explored by consulting a comprehensive text corpora serving as the background/domain knowledge. The novelty of our work lies in the combination of logic-based formalisms with a collaboratively contributed web repository. We illustrate our work by the means of a real world example.