research-article

Ontology development for health care in India

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N. JoshiAuthors Info & Claims

ICWET '11: Proceedings of the International Conference & Workshop on Emerging Trends in Technology

Pages 715 - 718

https://doi.org/10.1145/1980022.1980176

Published: 25 February 2011 Publication History

Abstract

In this paper, we describe the need and development of Ontologies. We also show the creation of an Ontology in Health Domain. In a developing country like India, due to mass population and scarcity of services, health care has taken a back. People often restore to the Internet for gathering information regarding a particular diseases or a health care service. They often do not find the information of their choice as the data is often available in a scattered form. Our Ontology can be used to extract such information in a more effective and efficient manner.

References

[1]

Guarino, N. 1992. Concepts, attributes and arbitrary relations: some linguistic and Ontological criteria for structuring knowledge bases. Data and Knowledge

Digital Library

[2]

Amsler, R. 1981. A taxonomy for English Nouns and Verbs. In Proceedings of the 19th Annual Meeting of the Association of Computational Linguistics. 133--138.

Digital Library

[3]

Calzolari, N. 1984. Detecting patterns in a lexical database. In Proceedings of the 22nd Annual Meering of the Association of Computational Linguistics. 170--173.

Digital Library

[4]

Alshawi, H. 1987. Processing dictionary definitions with phrasal pattern hierarchies. Computational Linguistics, 13, 3, 195--202.

Digital Library

[5]

Dolan, W. Vanderwende L., and Richardson S. 1993. Automatically deriving structured knowledge bases from online dictionaries. In Proceedings of the Pacific Association of Computational Linguistics. 5--14.

[6]

Hearst, M. 1992. Automatic aquisition of hyponums from large text corpora. In Proceedings of the 14th International Conference on Computational Linguistics. 539--545.

Digital Library

[7]

Carniak, E. and Berland M. 1999. Finding parts in a very large corpora. In Proceedings of the 37th Annual Meeting of the Association of Computational Linguistics. 57--64.

Digital Library

[8]

Iwanska, L. Mata, N. and Kruger, K. 2000. Fully automatic aquisition of taxonomic knowledge from large corpora of texts. In Iwanksa L., and Shapiro S. (Eds), Natural Language Processing and Knowledge Representaion. 335--345. MIT Press.

Digital Library

[9]

Ahmad, K., Tariq, M., Vrusias, B., and Handy, C. 2003. Corpus based thesaurus construction for image retrieval in specialist domains. In Proceedings of the 25th European Conference on Advances in Information Retrieval, 502--510.

Digital Library

[10]

Harris, Z. 1968. Mathematical Structures of Language, Wiley.

[11]

Grefenstette, G. 1995. Evaluation techniques for automatic semantic extraction: comparing syntactic and window based approaches. In Boguraev, D. and Pustejovsky, J. (Eds), Corpus Processing and Lexical Aquisition. 205--216. MIT Press.

Digital Library

[12]

Burgess, C. and Lund, K. 1998. Modeling parsing constraints with high dimensional context space. Language and Congnitive Processes. 12. 177--210.

[13]

Lin, D. 1998. Automatic retrieval and clustering of similar words. In Proceedings of the 36th Annual Meeting of the Association of the Computational Linguistics and 17th International Conference of Computational Lingusitics, 768--774.

Digital Library

[14]

Poesio, M., Ishikawa, T., im Walde, S. S., and Viera, R. 2002. Acquiring lexical knowledge for anaphora resolution. in Proceedings of the 3rd Conference on Language Resource and Evaluation.

[15]

Poesio, M., and Almuhareb, A. 2005. Identifying concept attributes using a classifier. In Baldwin, T., Korhonen, A., and Villavicencio, A. (Eds), In Proceedings of the ACL Workshop on Deep Lexical Aquisition. 18--27.

Digital Library

[16]

Etzioni, O., Cafarella, M., Downey, D., Kok, S., Popescu, A.-M., Shaked, T., Soderland, S., Weld, D., and Yates, A. 2004. Web scale infromation extraction in KnowItAll. In Proceedings of the 13th World Wide Web Conference, 100--109.

Digital Library

[17]

Markert, K., Modjeska, N., and Nissim, M. 2003. Using the web for normal anaphora resolution. In Proceedings of the EACL Workshop on the Computational Treatment of Anaphora.

[18]

Girju, R. and Moldovan, M. 2002. Text mining for causal relations. In Proceedings of the FLAIRS Conference. 360--364.

Digital Library

[19]

Sanchez-Graillet, O. and Poesio, M. 2004. Acquiring bayesian networks form text. In Proceedings of the 4th International Conference on Langauge Resource and Evaluation. 955--958.

[20]

Cederberg, S. and Widdows, D. 2003. Using LSA and noun coordination information to improve the precision and recall of automatic hyponymy extraction. In Conference on Natural Langauge Learning, 111--118.

Digital Library

[21]

Morin, E., and Jacquemin, C. 1999. Projecting corpus based semantic links on a thesaurus. In Proceedings of the 37th Annual Meeting of the Association of Computational Linguistics. 389--396.

Digital Library

[22]

Ravichandran, D. and Hovy, E. 2002. Learning surface patterns for a question answering system. In Proceedings of the 40th Annual Meeting of the Association of Computational Linguistics. 41--47.

Digital Library

[23]

Buitelaar, P., Olejnik, D., and Sintek, M. 2004. A Protégé plug-in for ontology extraction from text based linguistic analysis. In Proceedings of the 1st European Semantic Web Symphosium. 31--44.

[24]

Velardi, P., Navigli, R., Cuchuarelli, A., and Neri, F. 2005. Evaluation of OntoLearn, a methodology for automatic population of domain ontologies. In Buitelaar,

[25]

P., Cimiano, P., and Magnini, B. (Eds), Ontology Learning from Text: Methods, Applications and Evaluation. 92--106. IOS Press.

[26]

Niang, C., Béatrice, B., and Moussa, L. 2010. Towards tailored domain ontologies. In Proceeedings of the 5th International Workshop on Ontology Matching.

[27]

Shamsfard, M., Hesabi, A., Fadaei, H., Mansoory, N., Famian, A., Bagherbeigi, S., Fekri, E., Monshizadeh, M., and Assi, M. 2010. Semi Automatic Development Of FarsNet: The Persian Wordnet. In Proceedings of the 5th Internatioanl Conference on Global Wordnet

Cited By

Mathur IJoshi NDarbari HKumar A(2016)Automatic Evaluation of Ontology MatchersProceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies10.1145/2905055.2905261(1-6)Online publication date: 4-Mar-2016
https://dl.acm.org/doi/10.1145/2905055.2905261

Index Terms

Ontology development for health care in India
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning

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cover image ACM Other conferences

ICWET '11: Proceedings of the International Conference & Workshop on Emerging Trends in Technology

February 2011

1385 pages

ISBN:9781450304498

DOI:10.1145/1980022

Program Chair:
B. K. Mishra

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 25 February 2011

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ICWET '11

Sponsor:

Thakur College Of Engg. & Tech

ICWET '11: International Conference & Workshop on Emerging Trends in Technology

February 25 - 26, 2011

Maharashtra, Mumbai, India

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Cited By

Mathur IJoshi NDarbari HKumar A(2016)Automatic Evaluation of Ontology MatchersProceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies10.1145/2905055.2905261(1-6)Online publication date: 4-Mar-2016
https://dl.acm.org/doi/10.1145/2905055.2905261

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