Using statistical testing in the evaluation of retrieval experiments
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Expanding end-users' query statements for free text searching with a search-aid thesaurus
Information Processing and Management: an International Journal
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
OHSUMED: an interactive retrieval evaluation and new large test collection for research
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic query expansion via lexical-semantic relationships
Journal of the American Society for Information Science and Technology
ExpansionTool: Concept-Based Query Expansion and Construction
Information Retrieval
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
Content-based text querying with ontological descriptors
Data & Knowledge Engineering - NLDB2002
Exploiting concept clusters for content-based information retrieval
Information Sciences—Informatics and Computer Science: An International Journal
On the query refinement in the ontology-based searching for information
Information Systems - Special issue: The 15th international conference on advanced information systems engineering (CAiSE 2003)
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
The phrase-based vector space model for automatic retrieval of free-text medical documents
Data & Knowledge Engineering
KP-Miner: A keyphrase extraction system for English and Arabic documents
Information Systems
Semantic annotation, indexing, and retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
Ontology-Based spatial query expansion in information retrieval
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
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Concepts describing documents can offer a way for semantically grounding these documents. The goal of the work presented in this paper is to investigate making use of such concepts and the existence of an ontology in order to enhance search results in a known domain. So in this work we experiment with various techniques to achieve this goal. Experiments presented in this paper show that relying only on concept indexing and matching leads to degraded search results. This paper proposes an integrated approach based on augmenting a classical search technique with a concept based one which utilizes semantic information to improve the search results. A detailed discussion of the reported experimental results is also presented.