Keyword Join: Realizing Keyword Search in P2P-based Database Systems

In this paper, we present a P2P-based database sharing system that provides information sharing capabilities through keyword-based search techniques. Our system requires neither a global schema nor schema mappings between different databases, and our keyword-based search algorithms are robust in the...

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Main Authors: Yu, Bei, Liu, Ling, Ooi, Beng Chin, Tan, Kian Lee
Format: Article
Language:English
Published: 2004
Subjects:
Online Access:http://hdl.handle.net/1721.1/7423
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author Yu, Bei
Liu, Ling
Ooi, Beng Chin
Tan, Kian Lee
author_facet Yu, Bei
Liu, Ling
Ooi, Beng Chin
Tan, Kian Lee
author_sort Yu, Bei
collection MIT
description In this paper, we present a P2P-based database sharing system that provides information sharing capabilities through keyword-based search techniques. Our system requires neither a global schema nor schema mappings between different databases, and our keyword-based search algorithms are robust in the presence of frequent changes in the content and membership of peers. To facilitate data integration, we introduce keyword join operator to combine partial answers containing different keywords into complete answers. We also present an efficient algorithm that optimize the keyword join operations for partial answer integration. Our experimental study on both real and synthetic datasets demonstrates the effectiveness of our algorithms, and the efficiency of the proposed query processing strategies.
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spelling mit-1721.1/74232019-04-12T07:20:59Z Keyword Join: Realizing Keyword Search in P2P-based Database Systems Yu, Bei Liu, Ling Ooi, Beng Chin Tan, Kian Lee keyword join keyword query Peer-to-Peer database In this paper, we present a P2P-based database sharing system that provides information sharing capabilities through keyword-based search techniques. Our system requires neither a global schema nor schema mappings between different databases, and our keyword-based search algorithms are robust in the presence of frequent changes in the content and membership of peers. To facilitate data integration, we introduce keyword join operator to combine partial answers containing different keywords into complete answers. We also present an efficient algorithm that optimize the keyword join operations for partial answer integration. Our experimental study on both real and synthetic datasets demonstrates the effectiveness of our algorithms, and the efficiency of the proposed query processing strategies. Singapore-MIT Alliance (SMA) 2004-12-13T06:54:37Z 2004-12-13T06:54:37Z 2005-01 Article http://hdl.handle.net/1721.1/7423 en Computer Science (CS); 200386 bytes application/pdf application/pdf
spellingShingle keyword join
keyword query
Peer-to-Peer
database
Yu, Bei
Liu, Ling
Ooi, Beng Chin
Tan, Kian Lee
Keyword Join: Realizing Keyword Search in P2P-based Database Systems
title Keyword Join: Realizing Keyword Search in P2P-based Database Systems
title_full Keyword Join: Realizing Keyword Search in P2P-based Database Systems
title_fullStr Keyword Join: Realizing Keyword Search in P2P-based Database Systems
title_full_unstemmed Keyword Join: Realizing Keyword Search in P2P-based Database Systems
title_short Keyword Join: Realizing Keyword Search in P2P-based Database Systems
title_sort keyword join realizing keyword search in p2p based database systems
topic keyword join
keyword query
Peer-to-Peer
database
url http://hdl.handle.net/1721.1/7423
work_keys_str_mv AT yubei keywordjoinrealizingkeywordsearchinp2pbaseddatabasesystems
AT liuling keywordjoinrealizingkeywordsearchinp2pbaseddatabasesystems
AT ooibengchin keywordjoinrealizingkeywordsearchinp2pbaseddatabasesystems
AT tankianlee keywordjoinrealizingkeywordsearchinp2pbaseddatabasesystems