DocumentCode :
1047993
Title :
The Piazza peer data management system
Author :
Halevy, Alon Y. ; Ives, Zachary G. ; Madhavan, Jayant ; Mork, Peter ; Suciu, Dan ; Tatarinov, Igor
Author_Institution :
Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA
Volume :
16
Issue :
7
fYear :
2004
fDate :
7/1/2004 12:00:00 AM
Firstpage :
787
Lastpage :
798
Abstract :
Intuitively, data management and data integration tools are well-suited for exchanging information in a semantically meaningful way. Unfortunately, they suffer from two significant problems: They typically require a comprehensive schema design before they can be used to store or share information and they are difficult to extend because schema evolution is heavyweight and may break backward compatibility. As a result, many small-scale data sharing tasks are more easily facilitated by nondatabase-oriented tools that have little support for semantics. The goal of the peer data management system (PDMS) is to address this need: We propose the use of a decentralized, easily extensible data management architecture in which any user can contribute new data, schema information, or even mappings between other peers´ schemes. PDMSs represent a natural step beyond data integration systems, replacing their single logical schema with an interlinked collection of semantic mappings between peers´ individual schemas. This paper describes-several aspects of the Piazza PDMS, including the schema mediation formalism, query answering and optimization algorithms, and the relevance of PDMSs to the semantic Web.
Keywords :
data integrity; distributed databases; query processing; semantic Web; Piazza peer data management system; data integration tools; database; decentralized architecture; optimization algorithm; query answering; schema design; schema mediation; semantic Web; semantic mapping; Database languages; Investments; Large-scale systems; Mediation; Memory; Resource description framework; Semantic Web; Standardization; Terminology; XML;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/TKDE.2004.1318562
Filename :
1318562
Link To Document :
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