NDLI: An Approach to Improve Precision and Recall for Ad-hoc Information Retrieval Using SBIR Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Selvi, R.T. Raj, E.G.D.P.
Copyright Year	2014
Description	Author affiliation: Sch. of Comput. Sci., Eng. & Technol., Bharathidasan Univ., Trichirappalli, India (Raj, E.G.D.P.) \|\| Dept. of Comput. Applic., Bishop Heber Coll., Trichirappalli, India (Selvi, R.T.)
Abstract	Information Retrieval is a process of finding the documents in a collection based on a specific topic. The information need is expressed by the user as a query. Documents that satisfy the given query in the judgment of the user are said to be relevant. The documents that are not of the given topic are said to be non-relevant. An IR engine may use the query to classify the documents in a collection, returning to the user a subset of documents that satisfy some classification criterion. There are several search engines to find information in the given repositories containing large amounts of unstructured form of text data. However, the task of ad hoc information retrieval is, finding documents within a corpus like Bible, that are relevant to the user remains a hard challenge. Sometimes the relevant documents may not contain the specified keyword. The lack of the given term in a document does not necessarily mean that the document is not a relevant. Because more than one terms can be semantically similar although they are lexicographically different. In this paper a new algorithm called "Semantic based Boolean Information Retrieval" (SBIR) is proposed to retrieve the documents with semantically similar terms to enhance the performance of Boolean Information Model by improving the recall and precision.
Starting Page	137
Ending Page	141
File Size	347383
Page Count	5
File Format	PDF
e-ISBN	9781479928774
DOI	10.1109/WCCCT.2014.68
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-27
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Boolean Information Retrieval Databases Semantics Semantic Search engines Educational institutions Stemming Algorithm Vectors Information Retrieval WordNet
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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