Title: Performance evaluation of reformulated query for information retrieval using real estate ontology

Authors: Namrata Rastogi; Parul Verma; Pankaj Kumar

Addresses: Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow, India ' Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow, India ' Department of Computer Science, Sri Ram Swaroop College of Engineering and Management, Lucknow, India

Abstract: The data over the internet is growing at an unprecedented rate daily. Hence efficient information retrieval has always been at stake. The scenario becomes more tedious in an e-government sector like real estate where fetching of legal documentation used for buying and selling of land property is unknown to novice users. The uncommon legal terminology also dilutes the keyword-based retrieval system. The proposed system thus insists on creating and further utilising ontology in this semantic web era. The performance of information retrieval is measured by calculating various parameters like mean average precision, precision@k, and normalised discounted cumulative gain for general user query first and then comparing it with the reformulated query after applying the real estate ontology. The experimental results are further statistically checked to depict an improvement in all the parameters thereby indicating that an initial user query, after ontological reformulation improves the efficiency of the information retrieval process.

Keywords: e-government; information retrieval; legal ontology; mean average precision; mAP; performance evaluation; precision; query reformulation; real estate; semantic web.

DOI: 10.1504/IJIIDS.2021.118547

International Journal of Intelligent Information and Database Systems, 2021 Vol.14 No.4, pp.365 - 378

Received: 07 Jul 2020
Accepted: 07 Dec 2020
Published online: 28 Oct 2021 *

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