Semantic Web based Information Extraction |
Author(s): |
NIMESHKUMAR PATEL , GOVERNMENT ENGINEERING COLLEGE-MODASA; Sanjay Shah, GOVERNMENT ENGINEERING COLLEGE-MODASA; |
Keywords: |
Resource Description Framework; SPARQL Protocol and RDF(Resource Description Framework) Query Language; Quepy API; Ontology; Knowledge Base; Word Net |
Abstract |
Information extraction system is playing an important role now days. Currently search engines search on keyword based, which turn to give lots of enormous data available to the user and user cannot get the required information. Such limitation may be solved by new web architecture, which is known as semantic web architecture. The semantic web is an extension of W3C (World Wide Web Consortium) which promote common data formats & exchange protocols on the web which overcome the limitation of Knowledge Base searching also known as searching based on conceptual or keyword based. Natural Language processing is a mostly useful technique which is used in QA (Question Answer) system where a user asks a query and many steps are performed on such query and after that proper result is available. The conceptual search engine identifies the meaning of each tokenization query term and interprets it with the relation among document concept related to a particular domain which gives a proper answer instead of giving a list of answers. In this paper, we used semantic search based on ontology, Quepy API, SPARQL Query, Wordnet. |
Other Details |
Paper ID: NCACSETT2P062 Published in: Conference 10 : NCACSET 2017 Publication Date: 06/05/2017 Page(s): 97-101 |
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