Intelligent agent system for bio-medical literature mining

Md Tawhidul Islam*, Durgaprasad Bollina, Abhaya Nayak, Shoba Ranganathan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

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Abstract

With the advances of World Wide Web technology and advanced research in bioinformatics and systems biology domain has highlighted the increasing need for Automatic Information Extraction [IE] System to extract information from scientific literature databases. Extraction of scientific information in biomedical articles is a central task for supporting Biomarker discovery efforts. In this paper, we propose an algorithm that is capable of extracting scientific information on biomarker like gene, genome, disease, allele, cell etc from the text by finding out the focal topic of the document and extracting the most relevant properties of that topic. The topic and its properties are represented as semantic networks and then stored in a database. This IE algorithm will extract the most important biological terms and relation by statistical and pattern matching NLP techniques. This IE tool expected to help the researchers to get the latest information on Biomarker discovery and its other biomedical research advances. We show preliminary results, demonstrating that the method has a strong potential to biomarker discovery methods.

Original languageEnglish
Title of host publicationICICT 2007: Proceedings of International Conference on Information and Communication Technology
EditorsS. M. Lutful. Kabir
Place of PublicationDhaka, Bangladesh
PublisherICICT
Pages57-63
Number of pages7
ISBN (Print)9843233948, 9789843233943
DOIs
Publication statusPublished - 2007
EventICICT 2007: International Conference on Information and Communication Technology - Dhaka, Bangladesh
Duration: 7 Mar 20079 Mar 2007

Other

OtherICICT 2007: International Conference on Information and Communication Technology
Country/TerritoryBangladesh
CityDhaka
Period7/03/079/03/07

Bibliographical note

Copyright 2007 IEEE. Reprinted from Proceedings of the international conference on information and communication technology (ICICT2007). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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