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Knowledge retrieval in lexical ontology-based semantic web search engine

Ibrahim, Rosziati and Abdullah, Noryusliza (2013) Knowledge retrieval in lexical ontology-based semantic web search engine. In: ICUIMC '13 Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, 17-19 January 2013, Kota Kinabalu, Malaysia. (Unpublished)

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Discovery of World Wide Web data is slightly affected due to natural-language text presentation in the internet. Moreover, exponential growth of users' requirement and expectation makes the matter more critical. Coping with the overstated problem, research and development on the Semantic Web and Semantic Web search engine are actively conducted. The concept of ontology is established in the searching process. In this paper, LexOn Search is introduced using WordNet as a lexical ontology to presents clustering concept in order to utilized searching time. LexOn search engine is built by integrating WordNet, Apache Solr and Semantic Information Retrieval Engine (SIREn). We test the LexOn search with SIREn and it shows LexOn improved the searching time. The preliminary experimental results have given interesting results in terms of data arrangement and time usage.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: SIREn; ontology; semantic web search engine; wordnet
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-5865 Telecommunication. Telegraph.
Depositing User: Normajihan Abd. Rahman
Date Deposited: 13 Aug 2018 03:40
Last Modified: 13 Aug 2018 03:40
URI: http://eprints.uthm.edu.my/id/eprint/3740
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