Title: Ontology-based effective information retrieval from the web using concept aware user profile construction

Authors: P. Senthil Kumar; J. Abdul Samath; M. Mohamed Iqbal

Addresses: Department of Information Technology, Sri Ramakrishna Institute of Technology, Coimbatore, India ' Department of Computer Science, Government Arts College, Udumalpet, India ' Department of Electrical and Electronics Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, India

Abstract: Similar document retrieval from the enormous volume of documents in database is a critical task. In this research work, improved information retrieval system utilising cooperative ontological based user profile construction (IIRS-COUPC) is introduced for accurate similar document retrieval. Here, cooperative ontology-based user profile (COUP) is built to take back the documents from diverse ideas that match with the user's demand. In order to make simplicity of document looking for process and merges the numerous users with identical demands, documents clustering (DC) and query clustering (QC) is accomplished in this work independently. Lastly, concept mapping (CM) is accomplished to take back the documents which matches with the user needs proficiently. The whole assessment of the current research work is accomplished in the java simulation environment from which it is shown that the current research methodologies confirms its improved performance.

Keywords: information retrieval; similarity; personalised search; clustering; ontology profile construction.

DOI: 10.1504/IJENM.2018.094677

International Journal of Enterprise Network Management, 2018 Vol.9 No.3/4, pp.376 - 389

Received: 03 Oct 2017
Accepted: 02 Mar 2018
Published online: 11 Sep 2018 *

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