Semantic Indexing and Concept Based Methods for Ontology Based Information Retrieval using Dbpedia
P.Priya, Assistant Professor, Department of Computer Science and Engineering, BIET, Hyderabad (Telangana), India.

Manuscript received on 18 August 2019 | Revised Manuscript received on 29 August 2019 | Manuscript Published on 06 September 2019 | PP: 1040-1045 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F11980886S19/19©BEIESP | DOI: 10.35940/ijeat.F1198.0886S19
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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 (

Abstract: Web contains immense extent of records. It is helpful for the clients who need to look through data with respect to direction, business, redirection, remedial organizations, topography, and so forth… Looking through such data is essential utilizing particular web records yet looking through obvious data which is required is a horrible errand. This can be developed by semantic pursue which means hugeness or thought based intrigue. In the proposed work, thinking is made utilizing the parts and the properties of the substances. An introspective philosophy based data extraction framework is sorted out which is unequivocal to soccer district. Utilizing the crept data from DBPedia, the perspective is made and the OWL files are populated. Semantic mentioning is then performed on these reports. At long last the mentioning results and the perspective are mapped and the outcomes are appeared to the client dependent on the arranging performed utilizing two segments 1) Frequency of watchword and 2) huge inquisitive words. The introduction of the proposed framework is assessed against the present structures.
Keywords: Semantic Web, OWL Documents, Ontology, Dbpedia, Semantic Mentioning.
Scope of the Article: Information Retrieval