NDLI: Semi-Automated Extraction of Targeted Data fromWeb Pages

Content Provider	IEEE Xplore Digital Library
Author	Estievenart, F. Meurisse, J. Hainaut, J. Thiran, P.
Copyright Year	2006
Description	Author affiliation: CETIC, Belgium (Estievenart, F.)
Abstract	TheWorldWideWeb can be considered an infinite source of information for both individuals and organizations. Yet, if the main standard of publication on the Web (HTML) is quite suited to human reading, its poor semantics makes it difficult for computers to process and use embedded data in a smart and automated way. In this paper, we propose to build a bridge between HTML documents and external applications by means of socalled mapping rules. Such rules mainly record a semantic interpretation of recurring types of information in a cluster of similar Web documents and their location in those documents. Relying on these rules, HTML-embedded data can be extracted towards a more computable format. The definition of mapping rules is based on direct user input mainly for the interpretation part, and on automatic computing for the location of data in HTML tree structures. This approach is supported by a user-friendly tool called Retrozilla.
Starting Page	48
Ending Page	48
File Size	438174
Page Count	1
File Format	PDF
ISBN	0769525717
DOI	10.1109/ICDEW.2006.135
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bridges Computer science Information resources Humans XML HTML Software agents Information management Data mining Web sites
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

Semi-Automated Wrappers Using Rule Trees

Automated metadata and instance extraction from news Web sites

A supervised visual wrapper generator for Web-data extraction

Web information extraction

The Research of Automatic Extraction Dynamic Web Data

Automatic Information Extraction from E-Commerce Web Sites

Semi-structured data extraction and schema knowledge mining

Converting Web pages into well-formed XML documents

Extracting company information from the web

Semi-Automated Extraction of Targeted Data fromWeb Pages

Similar Documents

Semi-Automated Wrappers Using Rule Trees

Automated metadata and instance extraction from news Web sites

A supervised visual wrapper generator for Web-data extraction

Web information extraction

The Research of Automatic Extraction Dynamic Web Data

Automatic Information Extraction from E-Commerce Web Sites

Semi-structured data extraction and schema knowledge mining

Converting Web pages into well-formed XML documents

Extracting company information from the web

Semi-Automated Extraction of Targeted Data fromWeb Pages