Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)

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Ontology for the Domain of Food Science


Affiliations
1 CSIR-Central Food Technological Research Institute (CSIR-CFTRI), Food Science and Technology Information Services (FOSTIS/Library), Mysore, Karnataka, India
2 Documentation Research & Training Centre (DRTC), Indian Statistical Institute, Bangalore, Karnataka, India
     

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Information in the domain of food science is vast and techniques for managing and organizing such knowledge become essential. Present day information retrieval systems are based on full text searching for keywords which often retrieves irrelevant information and does not fulfill the user's requirements. A solution to the above chaos is ontology. The current paper describes an ontology for food science domain using Protege.

Keywords

Knowledge Representation, Food Science, Ontology, Semantic Web, Information Retrieval.
User
About The Authors

T. Padmavathi
CSIR-Central Food Technological Research Institute (CSIR-CFTRI), Food Science and Technology Information Services (FOSTIS/Library), Mysore, Karnataka
India

FOSTIS/LibraryTechnical Officer

M. Krishnamurthy
Documentation Research & Training Centre (DRTC), Indian Statistical Institute, Bangalore, Karnataka
India


Notifications

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  • Makino, R.; Kobayashi, I.; Izumi, N. and Hasida, K. (2009). An Ontology Approach to Creating a New Recipe by Reusing Parts of the Existing Recipes. In: IEEE International Conference on Intelligent Computing and Intelligent Systems, 20-22 November, 2009, Shanghai, p. 496-500.

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  • Ontology for the Domain of Food Science

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Authors

T. Padmavathi
CSIR-Central Food Technological Research Institute (CSIR-CFTRI), Food Science and Technology Information Services (FOSTIS/Library), Mysore, Karnataka, India
M. Krishnamurthy
Documentation Research & Training Centre (DRTC), Indian Statistical Institute, Bangalore, Karnataka, India

Abstract


Information in the domain of food science is vast and techniques for managing and organizing such knowledge become essential. Present day information retrieval systems are based on full text searching for keywords which often retrieves irrelevant information and does not fulfill the user's requirements. A solution to the above chaos is ontology. The current paper describes an ontology for food science domain using Protege.

Keywords


Knowledge Representation, Food Science, Ontology, Semantic Web, Information Retrieval.

References