NDLI: Research on web topic detection based on domain lexicon

Content Provider	IEEE Xplore Digital Library
Author	Zhao Zhibin Jia Yanfeng Bao Yubin
Copyright Year	2013
Description	Author affiliation: Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China (Zhao Zhibin; Jia Yanfeng; Bao Yubin)
Abstract	Web topic detection is a crucial prerequisite to web-based data integration and also a key component for Vertical Search Engine. So, it attracts much attention from not only the industry but also the literature. In this paper, we proposed a domain-lexicon-based framework for Web topic detection. In our framework, we extracted the topical features from the web page first. Next, we employed Vector Space Model(VSM) and Support Vector Machine (SVM) to compute the topical relevance between the Web page features and the domain that the user prefers so as to conclude whether the web page satisfies the user's request. Vector Space Model is suitable for the domains where the corresponding domain lexicons need to be updated frequently. Oppositely, Support Vector Machine is suitable for the domains where the corresponding domain lexicons are relatively unchangeable. Moreover, in this work we also explored the mechanism of domain lexicon updating, which can guarantee the accuracy and freshness of the domain lexicon. Finally, we conducted extensive experiment to test our framework and analyze how the domain lexicon affects the judgement result.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	3655
Ending Page	3660
File Size	481610
Page Count	6
File Format	PDF
ISBN	9781467355339
e-ISBN	9781467355346
DOI	10.1109/CCDC.2013.6561583
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Web pages Data integration Educational institutions Feature extraction topic detection Vectors Electronic mail text classification vertical search data integration domain lexicon
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