NDLI: Improving the precision ratio using semantic based search

Content Provider	IEEE Xplore Digital Library
Author	Amudaria, S. Sasirekha, S.
Copyright Year	2011
Description	Author affiliation: Department of Information technology, SSN College of Engineering, Chennai, India (Amudaria, S.; Sasirekha, S.)
Abstract	The overall goal of an information retrieval process is to retrieve the information relevant to the given request. The information retrieval techniques commonly used are based on keywords. These techniques use keyword listed to describe the content of information, but one problem with such list is that they do not say anything about the semantic relationships between keywords, nor do they take into account the meaning of words and phrases. To overcome these limitations, from the recent literature it is identified that it is necessary to analyze and determine the semantic features of both the content in document and query. Hence in this paper it is proposed to develop ontology and a comparison is made between the normal search and ontology based semantic search. Various experimental results are carried on, which shows the increase in document retrieval recall and precision rates, thereby demonstrating the effectiveness of the model.
Starting Page	465
Ending Page	470
File Size	872509
Page Count	6
File Format	PDF
ISBN	9781612846545
e-ISBN	9781612846538
DOI	10.1109/ICSCCN.2011.6024595
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Ontology Semantics Query matching Search engines Ontologies Signal processing Information retrieval Matrix decomposition Query extension Semantic extraction
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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