NDLI: Author name disambiguation using vector space model and hybrid similarity measures

Content Provider	IEEE Xplore Digital Library
Author	Arif, T. Ali, R. Asger, M.
Copyright Year	2014
Description	Author affiliation: Coll. of Comput. & IT, Taif Univ., Taif, Saudi Arabia (Ali, R.) \|\| Deptt. of Inf. Technol., BGSB Univ., Rajouri, India (Arif, T.) \|\| Sch. of Math. Sc. & Eng., BGSB Univ., Rajouri, India (Asger, M.)
Abstract	Differentiating people on the basis of their names has always been a complex issue and our desire for grouping people, in a particular domain, based on their attributes is growing day by day. Despite years of research and a bunch of proposed techniques, the name ambiguity problem remains largely unsolved and the so far proposed techniques have faced one problem or the other. In case of author name disambiguation in digital citations, additional attributes like e-mail ID and affiliation of author and co-authors, which are normally available in publications, can help a lot in disambiguation process. Vector space model has traditionally been used in information retrieval field with great degree of success and we explore its use in case of author name disambiguation here. In this paper we propose an enhanced vector space model for disambiguating authors and their publications. Experimental results show that additional attributes present in publications can help a lot in disambiguation and solve the name ambiguity problem with a great degree of confidence. From the study we conducted and the experimental results obtained we conclude that both mixed citation and split citations problem can be handled very efficiently. We obtained a great deal of improvement in evaluation metrics obtaining F1 score of 0.97.
Sponsorship	IEEE Comput. Soc.
Starting Page	135
Ending Page	140
File Size	718256
Page Count	6
File Format	PDF
ISBN	9781479951727
e-ISBN	9781479951734
DOI	10.1109/IC3.2014.6897162
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Hybrid-Similarity Atomic layer deposition Clustering algorithms Name Disambiguation Educational institutions Vectors Libraries Hierarchical Clustering Electronic mail Vector Space Model
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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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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