NDLI: Scalable Semantic Search with Hybrid Concept Index over Structure Peer-to-Peer Network

Content Provider	IEEE Xplore Digital Library
Author	Wenhui Ma Gang Wang Jing Liu
Copyright Year	2007
Description	Author affiliation: Coll. of Inf. Technol. & Sci., Nankai Univ., Tianjin (Wenhui Ma; Gang Wang; Jing Liu)
Abstract	The primary challenge in developing a peer-to- peer(P2P) file sharing system is implementing an efficient keyword search mechanism. Current keyword search approaches for structured P2P networks are built on the distributed inverted index by keywords. However, when executing multiple-attribute queries, they suffer from the problem of unscalable bandwidth consumption. Moreover, these approaches only support literally word match, not taking into account the meaning of word. In this paper, we propose an efficient keyword search mechanism over structure P2P network. Peers use a shared ontology to describe the content of a document and the subject of a query. A distributed hybrid concept index is constructed, which efficiently supports the query routing and matching, and avoids the intersection of inverted list among peers, which is cause of unscallabe network bandwidth consumption. Based on the semantic similarity between the subjects of queries and the contents of documents, peers can get results matching their queries semantically, instead of literally word match. Simulation experiments show that keyword search with the approach proposed in this paper is much less on bandwidth costs and much higher on retrieval perform than that based on standard inverted index by keywords.
Starting Page	42
Ending Page	48
File Size	255366
Page Count	7
File Format	PDF
ISBN	0769528716
DOI	10.1109/GCC.2007.110
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information resources Costs Peer to peer computing Query processing Keyword search Natural languages Bandwidth Ontologies Educational institutions Information technology
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
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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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