An ontology-based retrieval system using semantic indexing

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Date

2010

Author

Kara, Soner

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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.

Subject Keywords

Computer enginnering., Semantic indexing.

URI

http://etd.lib.metu.edu.tr/upload/12612110/index.pdf
https://hdl.handle.net/11511/19649

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

S. Kara, “An ontology-based retrieval system using semantic indexing,” M.S. - Master of Science, Middle East Technical University, 2010.