Document (#40831)

Author
Kara, S.
Title
¬An ontology-based retrieval system using semantic indexing
Source
Information Systems. 37(2012) no. 4, S.294-305
Year
2012
Abstract
In this thesis, we present an ontology-based information extraction and retrieval system and its application to soccer domain. In general, we deal with three issues in semantic search, namely, usability, scalability and retrieval performance. We propose a keyword-based semantic retrieval approach. The performance of the system is improved considerably using domain-specific information extraction, inference and rules. Scalability is achieved by adapting a semantic indexing approach. The system is implemented using the state-of-the-art technologies in SemanticWeb and its performance is evaluated against traditional systems as well as the query expansion methods. Furthermore, a detailed evaluation is provided to observe the performance gain due to domain-specific information extraction and inference. Finally, we show how we use semantic indexing to solve simple structural ambiguities.
Content
Thesis submitted to the Graduate School of Natural and Applied Sciences of Middle East Technical University in partial fulfilment of the requirements for the degree of Master of science in Computer Engineering (XII, 57 S.)
Footnote
Vgl. auch: http://etd.lib.metu.edu.tr/upload/12612110/index.pdf.
Theme
Wissensrepräsentation
Semantic Web

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  5. Na, J.-C.; Neoh, H.L.: Effectiveness of UMLS semantic network as a seed ontology for building a medical domain ontology (2008) 0.29
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