NDLI: Effective Schema Extraction of Query Interfaces on the Deep Web

Content Provider	IEEE Xplore Digital Library
Author	Bao-hua Qiang Jian-qing Xi Ling Chen
Copyright Year	2008
Description	Author affiliation: Coll. of Comput. & Inf. Sci., Southwest Univ., Chongqing (Ling Chen) \|\| Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou (Bao-hua Qiang; Jian-qing Xi)
Abstract	The Deep Web is becoming a very important information resource. Unlike the traditional Web information retrieval, the contents on the Deep Web are only accessible through source query interfaces. However, for any domain of interest, there may be so many query interfaces that users need to access them in order to get the desired information, which is time-consuming and requires to build an integrated query interface over the sources. The first important task towards this goal is schema extraction of source query interface. In this paper, we will present a novel pre-clustering algorithm with proper grouping patterns to obtain partial clustering of attributes. Our approach can avoid obtaining the incorrect subsets when grouping attributes. The experimental results showed our approach is highly effective on schema extraction of source query interfaces on the Deep Web.
Starting Page	291
Ending Page	295
File Size	352605
Page Count	5
File Format	PDF
ISBN	9780769533056
DOI	10.1109/FSKD.2008.135
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering Information resources Content based retrieval Merging Information retrieval Data mining Pre-clustering algorithm Computer science Query interface Tree graphs Cities and towns Deep Web Schema extraction Fuzzy systems
Content Type	Text
Resource Type	Article

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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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