NDLI: Accessing Deep Web Using Automatic Query Translation Technique

Content Provider	IEEE Xplore Digital Library
Author	Hao Liang Wanli Zuo Fei Ren Chong Sun
Copyright Year	2008
Description	Author affiliation: Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun (Hao Liang; Wanli Zuo; Fei Ren; Chong Sun)
Abstract	The information on the surface Web is supported by the deep Web, which can not be accessed directly by the search engines or the Web crawlers. The only way to access the backend database is through query interface. Automatic extracting query attributes from the query form and automatic translating source queries into target queries is a solvable way for addressing the current limitations in accessing deep Web data sources. We use the WordNet as a kind of ontology technique to enrich the attributes contained in the semantic form. Because of Web semantic constraint provided by the query form, some attributes are co-occurred and the others are exclusive sometimes. To generate a valid query, we have to reconcile the key attributes and their semantic relations. We show a method to find the semantic relation of the attributes in the sources query from and different forms and translate query between different query forms.
Starting Page	267
Ending Page	271
File Size	283220
Page Count	5
File Format	PDF
ISBN	9780769533056
DOI	10.1109/FSKD.2008.18
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	Crawlers Educational technology Ontologies Educational institutions Data mining WordNet ontology. Computer science Information science Surface Web Databases Search engines Deep Web 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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