NDLI: Indexing Scheme for Keyword Search over Semantic Web Documents

Content Provider	IEEE Xplore Digital Library
Author	YounHee Kim HyeYeon Shin KyunRak Chong HaeChull Lim
Copyright Year	2007
Description	Author affiliation: Dept. of Comput. Eng., Hong Ik Univ., Seoul (YounHee Kim; HyeYeon Shin; KyunRak Chong; HaeChull Lim)
Abstract	The semantic Web is an extension of the current Web in which information are given well-defined meaning to enable computers and people to work in cooperation. Many ontology languages such as RDF and OWL describe metadata on the semantic Web. Metadata can be used to retrieve related information through the inference more accurately and simply. RDF is a language for representing metadata. An enormous number of keywords on the semantic Web are very important to make practical applications of the semantic Web because most users prefer to search with keywords. In this paper, we classify queries with keyword conditions into three patterns and propose indexing techniques for keyword-search considering both metadata and ontology. The proposed indexing techniques aim at efficient process of keyword-search for RDF/S documents. There are many studies about keyword-search techniques based on XML RDF is different from XML on the Web. So, there is a need for query processing which is appropriate to RDF. And we propose a structure of table for storing RDF schema information. We propose a few ranking schemes for RDF/S documents. The schemes can be used to determine a sequence of query results according to predefined importance of resources.
Starting Page	1205
Ending Page	1209
File Size	5321761
Page Count	5
File Format	PDF
ISBN	9788955191318
ISSN	17389445
DOI	10.1109/ICACT.2007.358575
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-02-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ETRI, NIA
Subject Keyword	Indexing Keyword search Semantic Web Resource description framework Ontologies Information resources XML Information retrieval Information management Electronic mail Ranking Strategies RDF/S Keyword Search Index
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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