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

  • Gruber, T.R. (1993). A Translation Approach to Portable Ontologies. Knowledge Acquisition. 5(4): 199-220.

  • Noy, N.F. and McGuiness, D.L. Ontology Development 101: A Guide to Creating Your First Ontology. Accessed on June 5, 2014 at http://www.ksl.stanford.edu/people/dlm/papers/ ontology-tutorial-noy-mcguinness.pdf

  • Villarias, L.G. (2004). Ontology-Based Semantic Querying of the Web with respect to Food Recipes. Technical University of Denmark. Master Thesis. 1-118.

  • Graca, J.; Mourao, M.; Anunciacao, O.; Monteiro, P.; Pinto, H.S. and Loureiro, V. (2005). Ontology Building Process: The Wine Domain. In: Proceedings of the 5th Conference of the European Federation for Information Technology in Agriculture, Food and Environment. Accessed on June 5, 2014 at http://www.inesc-id.pt/pt/indicadores/Ficheiros/3615.pdf

  • Batista, F.; Paulo, J.; Mamede, N.; Vaz, V. and Ribeiro, V. (2006). Ontology Construction: Cooking Domain. Artificial Intelligence Methodology Systems and Applications. 4183:213-21.

  • Lopez, M.F.; Gomez-Perez, A. and Sierra, A.P. (1999). Building a Chemical Ontology Using Methontology and the Ontology Design Environment. IEEE Intelligent Systems. 4(1):37-46.

  • 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.

  • Horridge, M. (2007). Pizza Ontology 1.5. Accessed on August 5, 2014 at http://130.88.198.11/tutorials/protegeowltutorial/ resources/ProtegeOWLTutorialP4_v1_3.pdf

  • Snae, C. and Brückner, M. (2008). Foods: A Food-Oriented Ontology-Driven System. In Second IEEE International Conference on Digital Ecosystems and Technologies, 26-29 February 2008, Phitsanulok, p. 168-176.

  • Lee, B.M. (2012). Food Ontology Model for a Healthcare Service. Journal of the Korea Industrial Information System Society. 17(6): 31-40.

  • Dutta, B.; Chatterjee, U. and Madalli, D.P. (2015). Yamo: Yet another Methodology for Large-Scale Faceted Ontology Construction. Journal of Knowledge Management. 19(1): 6-24.

  • Lopez, M.F.; Gomez-Perez, A. and Juristo, N. (1997). Methontology: From Ontological Art Towards Ontological Engineering. In AAAI Symposium on Ontological Engineering, 24-26 March, 1997, Stanford, p. 33-40.

  • Gruninger, M. and Fox, M.S. (1995). Methodology for the Design and Evaluation of Ontologies. In: IJCAI Workshop On Benchmarking Theory and Practice, 13 April 1995, Montreal, p. 1-10.

  • Neelameghan, A. and Sangameswaran, S.V. (1970). Food Technology: Depth Classification Version of CC. Bangalore: Sarada Ranganathan Endowment for Library Science.

  • Holger, K.; Olivier, K.; Mark, D. and Musen, A. (2004). Weaving the Biomedical Semantic Web with the Protégé Owl Plugin. In: International Workshop on Formal Biomedical Knowledge Representation, 2004, Stanford. p. 1-9.

  • Uschold, M. and Gruninger, M. (1996). Ontologies: Principles Methods and Applications. The Knowledge Engineering Review. 11(2):93-155.

  • Protege Owl Ontology Editor, Protégé 4.3. Accessed on Mar 10, 2014 at http://protege.stanford. edu/

  • Fact++ Reasoner. Accessed on Mar 10, 2014 at http://owl.cs.manchester.ac.uk/tools/fact/


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  • Ontology for the Domain of Food Science

Abstract Views: 347  |  PDF Views: 8

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