NDLI: GRIAS: An Entity-Relation Graph Based Framework for Discovering Entity Aliases

Content Provider	IEEE Xplore Digital Library
Author	Lili Jiang Ping Luo Jianyong Wang Yuhong Xiong Bingduan Lin Min Wang Ning An
Copyright Year	2013
Description	Author affiliation: Max Planck Inst. for Inf., Saarbrucken, Germany (Lili Jiang) \|\| Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Jianyong Wang) \|\| HP Labs. China, Beijing, China (Ping Luo; Yuhong Xiong) \|\| Google Res., Mountain View, CA, USA (Min Wang) \|\| Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China (Bingduan Lin; Ning An)
Abstract	Recognizing the various aliases of an entity is a critical task for many applications, including Web search, recommendation system, and e-discovery. The goal of this paper is to accurately identify entity aliases, especially the long tail ones in the unstructured data. Our solution GRIAS (abbr. for a Graph-based framework for discovering entity Aliases) is motivated by the entity relationships collected from both the structured and unstructured data. These relationships help to build an entity-relation graph, and the graph-based similarity is calculated between an entity and its alias candidates which are first chosen by our proposed candidate selection method. Extensive experimental results on two real-world datasets demonstrate both the effectiveness and efficiency of the proposed framework.
Sponsorship	Toshiba
Starting Page	310
Ending Page	319
File Size	449683
Page Count	10
File Format	PDF
ISBN	9780769551081
ISSN	15504786
DOI	10.1109/ICDM.2013.50
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Terminology Organizations Databases Cameras Graphics Earth Observing System entity-relation graph entity alias alias similarity
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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GRIAS: An Entity-Relation Graph Based Framework for Discovering Entity Aliases

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GRIAS: An Entity-Relation Graph Based Framework for Discovering Entity Aliases