Framework for web content mining using semantic search and natural language queries

Author

Shaikh, A.J. ; Kolhe, V.L.

Author_Institution

Dept. of Comput. Eng., D.Y. Patil Coll. of Eng., Pune, India

fYear

2013

fDate

26-28 Dec. 2013

Firstpage

1

Lastpage

5

Abstract

Current keyword based search engines are not able to search semantics in web pages. In this paper we present framework for semantic based web content mining system using semantic ontology and SPARQL. A major challenge in the work involves building ontology database from natural language web pages. Second challenge is automated translation of natural language queries into more precise SPARQL queries. Proposed approach is tested on cricket websites and shows outstanding improvements over traditional keyword based search results.

Keywords

SQL; data mining; database management systems; natural language processing; ontologies (artificial intelligence); query processing; semantic Web; SPARQL queries; cricket Websites; keyword based search results; natural language Web pages; natural language queries; ontology database; semantic based Web content mining system; semantic ontology; semantic search; Natural languages; Ontologies; Semantic Web; Semantics; Web mining; Web pages; Information Retrieval; NLP; OWL; SPARQL; Semantic Web; Web Mining; ontology; search engine;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on

Conference_Location

Enathi

Print_ISBN

978-1-4799-1594-1

Type

conf

DOI

10.1109/ICCIC.2013.6724175

Filename

6724175