NDLI: Extracting Keywords from Research Abstracts for the Neuroinformatics Platform Index Tree

Content Provider	IEEE Xplore Digital Library
Author	Usui, S. Palmes, P. Nagata, K. Taniguchi, T. Ueda, N.
Copyright Year	2006
Description	Author affiliation: RIKEN Brain Sci. Inst., Wako (Usui, S.; Palmes, P.; Nagata, K.; Taniguchi, T.)
Abstract	Studying the brain as a system requires global collaborations and interdisciplinary approaches which necessitate the development of tools to help scientists in the management, sharing, and synthesis of disparate research resources. Recognizing the benefits and importance of global collaboration and sharing, the INCF (International Neuroinformatics Coordinating Facility) started to coordinate the global effort of establishing different neuroinformatics (NI) Portals among the participating countries. In Japan, this initiative is starting to take shape through the establishment of the different NI platforms under the coordination of the NIJC (NI Japan Center). Each NI platform in Japan such as "visiome" [http://platform.visiome.org], requires their own set of keywords that represent important terms covering their respective field of study. One important role of this predefined keyword list is to help scientists classify the contents of their contributions and group related resources based on these keywords. It is vital that this predefined list should be properly chosen to cover the necessary areas. Currently, the process of identifying these keywords relies on the availability of human experts which does not scale well considering that the different fields are rapidly evolving. This issue prompted us to develop a new algorithm for a tool to automatically filter terms which are most likely considered as keywords by human experts. We discuss its effectiveness and tested its performance using the abstracts of the Vision Research Journal (VR) as a test case.
Starting Page	5045
Ending Page	5050
File Size	2604193
Page Count	6
File Format	PDF
ISBN	0780394909
DOI	10.1109/IJCNN.2006.247231
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Abstracts International collaboration Humans Testing Collaborative tools Research and development management Resource management Portals Shape Availability
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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