Title :
Ontology based context synonymy web searching
Author :
Manglik, E. ; Sharma, Parmanand ; Rawat, Priyanka ; Tyagi, Neeraj
Abstract :
Knowledge is an essential asset for success and this is the main reason for exponential growth of knowledge management in the past decade. Web is the largest knowledge base ever collected by human in which the apex aim of a search engine is to provide most relevant documents to the user in minimum possible time. We propose to make out the best from the vital knowledge present over the internet intelligently, anywhere in the world through better searching methodologies. The current information retrieval system uses the keyword matching technique for fetching results from the web-repository. In this paper, we propose a structural approach for the unstructured knowledge over the Internet and also provides a solution to the two major problems of information retrieval system i.e. polysemy and synonymy, that too simultaneously.
Keywords :
information retrieval; ontologies (artificial intelligence); search engines; Internet; Web repository; information retrieval system; keyword matching technique; knowledge base; knowledge management; ontology based context synonymy Web searching; polysemy; relevant documents; search engine; searching methodology; structural approach; unstructured knowledge; Computer architecture; Context; Indexing; Ontologies; Search engines; Web pages; Web search; context; ontology; polysemy; searching; synonymy;
Conference_Titel :
Information Systems and Computer Networks (ISCON), 2013 International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-5987-0
DOI :
10.1109/ICISCON.2013.6524185