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Comparative Analysis of Information Retrieval using Ontology Based vs Traditional Information Systems in Food Science Domain.

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Relation http://ir.cftri.com/14434/
https://dx.doi.org/10.14429/djlit.40.2.15213
 
Title Comparative Analysis of Information Retrieval using Ontology Based vs
Traditional Information Systems in Food Science Domain.
 
Creator Padmavathi, T.
 
Subject 03 Library and Information Science
 
Description The current methods of searching and information retrieval are imprecise, often yielding results in tens of
thousands of web pages. Extraction of the actual information needed often requires extensive manual browsing of
retrieved documents. In order to address these drawbacks, this paper introduces an implementation in the field of food
science of the ontology-based information retrieval system, and comparison is made with conventional information
systems. The ontology of Food Semantic Web Knowledge Base (FSWKB) was built using the Protégé framework
which supports two main models of ontology through the editors Protégé-Frames and Protégé-OWL. The FSWKB
is composed of two heterogeneous ontologies, and these are merged and processed on a separate server application
making use of the Apache Jena Fuseki an SPARQL server offering SPARQL endpoint. The experimental results
indicated that ontology-based information systems are more effective in terms of their retrieval capability compared to
the more conventional information retrieval systems. The retrieval effectiveness was measured in terms of precision
and recall. The results of the work showed that traditional search results in average precision and recall levels of
0.92 and 0.18. The ontology-based test for precision and recall has average rates of 0.96 and 0.97.
 
Date 2020
 
Type Article
PeerReviewed
 
Format pdf
 
Language en
 
Identifier http://ir.cftri.com/14434/1/DJLIT%20Apr%202020.pdf
Padmavathi, T. (2020) Comparative Analysis of Information Retrieval using Ontology Based vs Traditional Information Systems in Food Science Domain. DESIDOC Journal of Library & Information Technology, 40 (2). pp. 89-96.