WordNet: a lexical database for English
Communications of the ACM
Searching the Web: From Keywords to Semantic Queries
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Using multiple ontologies in information extraction
Proceedings of the 18th ACM conference on Information and knowledge management
Ontology-based interpretation of keywords for semantic search
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
A Coupled Statistical/Semantic Framework for Merging Heterogeneous Domain-Specific Ontologies
ICTAI '10 Proceedings of the 2010 22nd IEEE International Conference on Tools with Artificial Intelligence - Volume 02
SemSearch: a search engine for the semantic web
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
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Internet search engines are indispensable tools that assist users to find information on the World Wide Web (WWW). These search engines use different keyword-based indexing techniques to index Web Pages. Although this approach assist users in finding information on the Web, many of the returned results are irrelevant to the user's information needs. This is because of the "semantic-gap" between the meanings of the keywords that are used to index Web Pages and the meanings of the terms used by the user to formulate his query. In this paper, we introduce an approach to employ knowledge represented by multiple large-scale general-purpose ontologies to derive the semantic aspects of the user's query. In addition, we utilize statistical-based semantic relatedness measures to compensate for missing background knowledge in the exploited ontologies. Experimental instantiation of the proposed system validates our proposal.