Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
WWW '03 Proceedings of the 12th international conference on World Wide Web
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
A Categorization Scheme for Semantic Web Search Engines
AICCSA '06 Proceedings of the IEEE International Conference on Computer Systems and Applications
A survey and classification of semantic search approaches
International Journal of Metadata, Semantics and Ontologies
Toward a New Generation of Semantic Web Applications
IEEE Intelligent Systems
Ontological Profiles in Enterprise Search
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Searching with Document Space Adapted Ontologies
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Question Answering on the Semantic Web
IEEE Intelligent Systems
Weighted Ontology for Semantic Search
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
OntoSearch: a full-text search engine for the semantic web
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Query reformulation using automatically generated query concepts from a document space
Information Processing and Management: an International Journal
Ontology learning for search applications
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Combining fact and document retrieval with spreading activation for semantic desktop search
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Q2Semantic: a lightweight keyword interface to semantic search
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Improving information retrieval effectiveness by using domain knowledge stored in ontologies
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
International Journal of Web and Grid Services
Ranking Algorithm for Semantic Document Annotations
International Journal of Information Retrieval Research
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An increasing number of recent information retrieval systems makes use of ontologies to help the users to detail queries and to come up with semantic representations of documents. A particular concern here is user-friendliness (usability) and scalability of those approaches for Web search purposes. In this paper, we present an approach where entities in an ontology are associated with domain terminology by feature vectors (FV). A FV reflects the semantic and linguistic neighbourhoods of a particular entity. The semantic neighbourhood is derived from an ontology and is based on related entities and specified properties, while linguistic neighbourhood is based on co-location of terms in a text corpus. Later, during the search process the FVs are used to filter and rerank the search results of the underlying search engine and thereby increasing the precision of the result. We elaborate on the approach and describe how the FVs are constructed. Then we report on a conducted evaluation where we analyse the sensitivity of the approach w.r.t. ontology quality and search tasks. Results indicate that the proposed approach and implemented prototype are able to improve the search results of a standard Web search engine. Furthermore, the analysis of the experiment data shows that the level of ontology specification is important for the quality of the FVs.