NDLI: Community Relation Discovery by Named Entities

Content Provider	IEEE Xplore Digital Library
Author	Jian-Han Zhu Goncalves, A.L. Uren, V.S. Motta, E. Pacheco, R. Da-Wei Song Ruger, S.
Copyright Year	2007
Description	Author affiliation: Open Univ., Milton Keynes (Jian-Han Zhu; Uren, V.S.; Motta, E.; Da-Wei Song; Ruger, S.)
Abstract	Discovering who works with whom, on which projects and with which customers is a key task in knowledge management. Although most organizations keep models of organizational structures, these models do not necessarily accurately reflect the reality on the ground. In this paper we present a text mining method called CORDER which first recognizes named entities (NEs) of various types from Web pages, and then discovers relations from a target NE to other NEs which co-occur with it. We evaluated the method on our departmental Website. We used the CORDER method to first find related NEs of four types (organizations, people, projects, and research areas) from Web pages on the Website and then rank them according to their co-occurrence with each of the people in our department. 20 representative people were selected and each of them was presented with ranked lists of each type of NE. Each person specified whether these NEs were related to him/her and changed or confirmed their rankings. Our results indicate that the method can find the NEs with which these people are closely related and provide accurate rankings.
Starting Page	1966
Ending Page	1973
File Size	831903
Page Count	8
File Format	PDF
ISBN	9781424409723
DOI	10.1109/ICMLC.2007.4370469
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web pages Supervised learning Knowledge management Text mining Data mining Training data Machine learning Cybernetics Text recognition Target recognition Ranking Relation discovery Clustering Named entity recognition Similarities
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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