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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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
Number of pages7
ISBN (Print)9843233948, 9789843233943
Publication statusPublished - 2007
EventICICT 2007: International Conference on Information and Communication Technology - Dhaka, Bangladesh
Duration: 7 Mar 20079 Mar 2007


OtherICICT 2007: International Conference on Information and Communication Technology

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