Intelligent agent system for bio-medical literature mining

Md Tawhidul Islam; Durgaprasad Bollina; Abhaya Nayak; Shoba Ranganathan

doi:10.1109/ICICT.2007.375342

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 proceeding › Conference proceeding contribution › peer-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 language	English
Title of host publication	ICICT 2007: Proceedings of International Conference on Information and Communication Technology
Editors	S. M. Lutful. Kabir
Place of Publication	Dhaka, Bangladesh
Publisher	ICICT
Pages	57-63
Number of pages	7
ISBN (Print)	9843233948, 9789843233943
DOIs	https://doi.org/10.1109/ICICT.2007.375342
Publication status	Published - 2007
Event	ICICT 2007: International Conference on Information and Communication Technology - Dhaka, Bangladesh Duration: 7 Mar 2007 → 9 Mar 2007

Other

Other	ICICT 2007: International Conference on Information and Communication Technology
Country/Territory	Bangladesh
City	Dhaka
Period	7/03/07 → 9/03/07

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 Universityâ€™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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10.1109/ICICT.2007.375342

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Cite this

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title = "Intelligent agent system for bio-medical literature mining",

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.",

author = "Islam, \{Md Tawhidul\} and Durgaprasad Bollina and Abhaya Nayak and Shoba Ranganathan",

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{\^a}€{\texttrademark}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.; ICICT 2007: International Conference on Information and Communication Technology ; Conference date: 07-03-2007 Through 09-03-2007",

year = "2007",

doi = "10.1109/ICICT.2007.375342",

language = "English",

isbn = "9843233948",

pages = "57--63",

editor = "Kabir, \{S. M. Lutful.\}",

booktitle = "ICICT 2007: Proceedings of International Conference on Information and Communication Technology",

publisher = "ICICT",

}

Islam, MT, Bollina, D, Nayak, A & Ranganathan, S 2007, Intelligent agent system for bio-medical literature mining. in SML Kabir (ed.), ICICT 2007: Proceedings of International Conference on Information and Communication Technology., 4261365, ICICT, Dhaka, Bangladesh, pp. 57-63, ICICT 2007: International Conference on Information and Communication Technology, Dhaka, Bangladesh, 7/03/07. https://doi.org/10.1109/ICICT.2007.375342

Intelligent agent system for bio-medical literature mining. / Islam, Md Tawhidul; Bollina, Durgaprasad; Nayak, Abhaya et al.
ICICT 2007: Proceedings of International Conference on Information and Communication Technology. ed. / S. M. Lutful. Kabir. Dhaka, Bangladesh: ICICT, 2007. p. 57-63 4261365.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Islam, Md Tawhidul

AU - Bollina, Durgaprasad

AU - Nayak, Abhaya

AU - Ranganathan, Shoba

N1 - 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 Universityâ€™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.

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

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M3 - Conference proceeding contribution

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SN - 9789843233943

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EP - 63

BT - ICICT 2007: Proceedings of International Conference on Information and Communication Technology

A2 - Kabir, S. M. Lutful.

PB - ICICT

CY - Dhaka, Bangladesh

T2 - ICICT 2007: International Conference on Information and Communication Technology

Y2 - 7 March 2007 through 9 March 2007

ER -

Intelligent agent system for bio-medical literature mining

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