NDLI: Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph

Content Provider	IEEE Xplore Digital Library
Author	Sethu, H. Yates, A.
Copyright Year	2010
Abstract	A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search engines today. However, this representation involves a key oversimplification of the true complexity of the Web: an edge in the traditional Web graph represents only the existence of a hyperlink; information on the context (e.g., informational, adversarial, commercial, spam) behind the hyperlink is absent. In this work-in-progress paper, we describe an ongoing collaborative project between two teams, one specializing in network science and analysis and the other specializing in text analysis and machine learning, to address this oversimplification. Using techniques in natural language processing, text mining and machine learning to extract relevant features of hyperlinks and classify them into one of several types, this undertaking builds and analyzes a multi-relational web graph. A key aspect of this work is that the multi-relational graph emerges naturally from the data instead of being based on an imposed classification of the hyperlinks.
Starting Page	683
Ending Page	686
File Size	532588
Page Count	4
File Format	PDF
ISBN	9781424484393
DOI	10.1109/SocialCom.2010.105
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text mining Social network services Graph sampling Complexity theory Data mining Clustering Network science USA Councils Web graph Web pages Classification Feature extraction Web search
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

Community Learning by Graph Approximation

Neural network framework for multilingual Web documents

Service Search based on Service Composition Social Network

Web content extraction by using decision tree learning

Focused Crawling Using Name Disambiguation on Search Engine Results

Genre Classification on German Novels

Disambiguation of People in Web Search Using a Knowledge Base

A Multi-label and Adaptive Genre Classification of Web Pages

Extracting Academic Information from Conference Web Pages

Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph

Similar Documents

Community Learning by Graph Approximation

Neural network framework for multilingual Web documents

Service Search based on Service Composition Social Network

Web content extraction by using decision tree learning

Focused Crawling Using Name Disambiguation on Search Engine Results

Genre Classification on German Novels

Disambiguation of People in Web Search Using a Knowledge Base

A Multi-label and Adaptive Genre Classification of Web Pages

Extracting Academic Information from Conference Web Pages

Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph