An Ontology Based Information Retrieval System
Karthik Pai B. H1, Balaji N.2
1Dr. Karthik Pai B H*, Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, Karkala, India.
2Balaji N, department, Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, Karkala, India.
Manuscript received on May 25, 2020. | Revised Manuscript received on June 29, 2020. | Manuscript published on July 30, 2020. | PP: 637-648 | Volume-9 Issue-2, July 2020. | Retrieval Number: B3781079220/2020©BEIESP | DOI: 10.35940/ijrte.B3781.079220
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Ontology provide a structured way of describing knowledge. Ontology’s are usually repositories of concepts and relations between them, so using them in information retrieval seems to be a reasonable goal. The main objective in this report is to provide efficient means to move from keyword-based to concept-based information retrieval utilizing ontology’s for conceptual definitions [1]. In this paper, we present the skeleton of such an IR system which works on a collection of domain specific documents and exploits the use of a domain specific ontology to improve the overall number of relevant documents retrieved. In this system, a user enters a query from which the meaningful concepts are extracted; using these concepts and domain ontology, query expansion is performed. We propose a system that matches the query terms in the ontology/schema graph and exploits the surrounding knowledge to derive an enhanced query. The enhanced query is given to the underlying basic keyword search system LUCENE [2]. In this approach we try to make use of more ontological Knowledge than IS-A and HAS-A relationships and synonyms for information retrieval.
Keywords: Ontology, Semantic, DSA, IR System.