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Information extraction and ontology model for a 'call for paper' manager

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iiWAS '11: Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services

Pages 539 - 542

https://doi.org/10.1145/2095536.2095650

Published: 05 December 2011 Publication History

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Abstract

Deal with Call for Paper (CFP) is a time consuming task, find if a conference suit to your requirement, check deadlines, specifications, etc... In order to improve this matter, this paper proposes a web-based system to automatically extract useful data from CFP emails using six different text mining methods and organizes them in an ontology model which advises user about interesting conferences according to his personal data. Focusing on both extraction method and ontology model, we will also slightly describe future work and improvement in a large-scale.

References

[1]

R. Yangarber, R. Grishman, P. Tapanainen, S. Huttunen, Automatic Acquisition of Domain Knowledge for Information Extraction, Proceedings of the 18th conference on Computational linguistics - Volume 2, pp. 940--946, 2000

Digital Library

Google Scholar

[2]

Ronen Feldman, James Sanger, The Text Mining Handbook (Advanced Approaches in Analyzing Unstructured Data), Cambridge University Press, 2007

Digital Library

Google Scholar

[3]

D. Jurafsky, J. H. Martin, Speech and Language Processing, An introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Prentice Hall, 2009

Digital Library

Google Scholar

[4]

Grigoris Antoniou, Frank van Harmelen, A Semantic Web Primer; The MIT Press, 2002

Digital Library

Google Scholar

[5]

Shih-Hung Wu, Tzong-Han Tsai and Wen-Lian Hsu, Domain Event Extraction and Representation with Domain Ontology, Proceedings of the IJCAI-03 Workshop on Information Integration on the Web, pp. 33--39, 2003

Google Scholar

[6]

Chang-Shing Lee, Yea-Juan Chen and Zhi-Wei Jian, Ontology-based fuzzy event extraction agent for Chinese e-news summarization, Expert Systems with Applications Volume 25, Issue 32003, pp 431--447, 2003

Google Scholar

[7]

Chinatsu Aone Mila Ramos-Santacruz, REES: A Large-Scale Relation and Event Extraction System, Proceedings of the sixth conference on Applied natural language processing, pp. 76--83, 2000

Digital Library

Google Scholar

[8]

http://gate.ac.uk (Accessed on 1^st August 2011)

Google Scholar

[9]

N. Chinchor, MUC-4 Evaluation Metrics, Proceedings of the Fourth MessageUnderstanding Conference, pp 22--29, 1992

Digital Library

Google Scholar

[10]

http://protege.stanford.edu/overview/protege-owl.html (Accessed on 1^st August 2011)

Google Scholar

[11]

http://www.w3.org/TR/owl2-overview (Accessed on 1^st August 2011)

Google Scholar

[12]

J. Davies, D. Fensel, F. Van Harmelen, Towards the semantic web, John Wiley & Sons Ltd, 2003

Google Scholar

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Issertial LTsuji H(2013)Data Management and User Interface for a Call for Paper ManagerProceedings of the 2013 IEEE 37th Annual Computer Software and Applications Conference10.1109/COMPSAC.2013.78(463-466)Online publication date: 22-Jul-2013
https://dl.acm.org/doi/10.1109/COMPSAC.2013.78
Nanba HSaito RIshino ATakezawa T(2013)Automatic Extraction of Event Information from Newspaper Articles and Web PagesProceedings of the 15th International Conference on Digital Libraries: Social Media and Community Networks - Volume 827910.1007/978-3-319-03599-4_21(171-175)Online publication date: 9-Dec-2013
https://dl.acm.org/doi/10.1007/978-3-319-03599-4_21

Index Terms

Information extraction and ontology model for a 'call for paper' manager
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources

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iiWAS '11: Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services

December 2011

572 pages

ISBN:9781450307840

DOI:10.1145/2095536

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Association for Computing Machinery

New York, NY, United States

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Published: 05 December 2011

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MoMM '11: The 9th International Conference on Advances in Mobile Computing & Multimedia

December 5 - 7, 2011

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Issertial LTsuji H(2013)Data Management and User Interface for a Call for Paper ManagerProceedings of the 2013 IEEE 37th Annual Computer Software and Applications Conference10.1109/COMPSAC.2013.78(463-466)Online publication date: 22-Jul-2013
https://dl.acm.org/doi/10.1109/COMPSAC.2013.78
Nanba HSaito RIshino ATakezawa T(2013)Automatic Extraction of Event Information from Newspaper Articles and Web PagesProceedings of the 15th International Conference on Digital Libraries: Social Media and Community Networks - Volume 827910.1007/978-3-319-03599-4_21(171-175)Online publication date: 9-Dec-2013
https://dl.acm.org/doi/10.1007/978-3-319-03599-4_21

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Ontology View Extraction: An Approach Based on Ontological Meta-properties

Towards a System for Ontology-Based Information Extraction from PDF Documents

Ontology-based information extraction and information retrieval in health care domain

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