Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Semantic deep web: automatic attribute extraction from the deep web data sources
Proceedings of the 2007 ACM symposium on Applied computing
Enriching Ontology for Deep Web Search
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Assessment for Ontology-Supported Deep Web Search
CECANDEEE '08 Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services
Predicting Web Search Hit Counts
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A prediction model for web search hit counts using word frequencies
Journal of Information Science
Enhancing the famous people ontology by mining a social network
Proceedings of the 2nd International Workshop on Semantic Search over the Web
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The terms that users pass to search engines are often ambiguous, by referring to homonyms. The search results in these cases are a mixture of links to documents that refer to different meanings of the search terms. Current search engines provide suggested query completion terms as a dropdown list. However, such lists are not well organized, mixing completions for different meanings. In addition, the suggested search phrases are not discriminating enough. We propose an approach to suggesting well organized and visually separated search completions based on ontologies. In addition, our approach supports the use of negative terms to disambiguate the suggested completions in the list. We present an algorithm to generate the suggested search completion terms. We have developed musician and basketball player ontologies and an Ontology-Supported Web Search (OSWS) System for "famous people" that generates the suggested search term completions, based on these ontologies.