This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
A Review on Ontology based Information Retrieval System
Authors
Mitali Bansal, Jyoti Arora
Abstract
Information Retrieval forms an important part of today’s world. Extracting information out of unstructured data is an interesting and challenging problem. This paper targets the extraction of important information from house classified data of hindi newspaper. Information Retrieval Vector space model represents the documents and concepts as column and row vector where the cosine angle between the documents are used to measure the similarity between the documents. The similarity between the documents is determined by the closeness of documents in the vector space. This paper attempts to review all works pertaining to Ontology based Information Retrieval System (OBIRS) and their results are discussed according to their performance.
Keywords- Ontology, Information Retrieval System, Domain Knowledge, User Query
Publication Details
Unique Identification Number - IJEDR1602046Page Number(s) - 263-265Pubished in - Volume 4 | Issue 2 | April 2016DOI (Digital Object Identifier) - Deshbhagat Group of CollegePublisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Mitali Bansal, Jyoti Arora, "A Review on Ontology based Information Retrieval System", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.263-265, April 2016, Available at :http://www.ijedr.org/papers/IJEDR1602046.pdf
Article Preview
|
|
||||||
|
|
||||||||
