Title: A semi search algorithm towards semantic search using domain ontologies

Authors: Aatif Ahmad Khan; Sanjay Kumar Malik

Addresses: Media Lab Asia, Flat-6, Pocket-3 (Indraprastha Apartments), Sector-12, Dwarka, New Delhi, 110078, India ' University School of Information and Communication Technology, Guru Gobind Singh Indraprastha University, New Delhi, Flat-313, Plot-9 (Jawahar Apartments), Sector-5, Dwarka, New Delhi, 110078, India

Abstract: In the current Web 2.0 (O'Reilly, 2005), the problem is of efficient retrieval of concerned specific information due to prevalent keyword-based search. Semantic web (Berners-Lee et al., 2001) provides a hope in this direction by providing search based on semantics. Semantic search plays a significant role in retrieving highly relevant search results considering both context and domain information related to posed queries. Semantic search (Guha et al., 2003) can be approached using ontology (Gruber, 1995), which acts as a foundation for incorporating semantics on the web. In this paper, an attempt has been made to propose an approach towards semantic search in the form of a semi search algorithm using domain ontologies for which a semi search tool has been developed for its implementation and evaluation. Key objective of this approach is to return the end user syntactic matching as well as semantically relevant search results. Evaluation results have been obtained which show significant improvements over precision while maintaining a high recall.

Keywords: semantic search; semi search algorithm; semi search tool; domain ontology; precision; recall.

DOI: 10.1504/IJAC.2017.086974

International Journal of Autonomic Computing, 2017 Vol.2 No.3, pp.191 - 210

Received: 23 Jun 2016
Accepted: 03 Feb 2017
Published online: 03 Oct 2017 *

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