NDLI: Name Disambiguation Boosted by Latent Topics from Web Directories

Content Provider	IEEE Xplore Digital Library
Author	Quang Minh Vu Takasu, A. Adachi, J.
Copyright Year	2008
Description	Author affiliation: Nat. Inst. of Inf., Tokyo (Quang Minh Vu; Takasu, A.; Adachi, J.)
Abstract	Search results for personal name queries often contain documents relevant to several people as a personal name is often shared by several people. In order to differentiate people in these search results, it is required to extract contexts relevant to people in documents. However, since Web documents are noisy and the texts related to people might be short, it is difficult to extract contexts of people effectively. We propose a new method that uses web directories as additional information in order to recognize topic terms in documents more easily and to extract contexts of people more effectively. First, we apply latent Dirichlet allocation method to extract latent topics in Web directories. Then, the extracted topics are used to recognize topics contained in name ambiguity documents so that common context measurements can be calculated more effectively. Our experiments, conducted with documents of real people in the Web and several well-known Web directories, show that our approach disambiguates personal names better than some other conventional approaches like vector space model approach and named entity recognition approach.
Starting Page	697
Ending Page	703
File Size	292903
Page Count	7
File Format	PDF
ISBN	9780769534961
DOI	10.1109/WIIAT.2008.171
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Personal name disambiguation knowledge base latent Dirichlet allocation document similarity latent topic extraction World Wide Web Data mining Intelligent agent Search engines Frequency Feature extraction Linear discriminant analysis Web sites Informatics Context modeling
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

Name Disambiguation Boosted by Latent Topics from Web Directories

Name disambiguation boosted by latent topics from web directories.

Using Web Directories for Similarity Measurement in Personal Name Disambiguation

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