DocumentCode :
804782
Title :
A blackboard-based cooperative system for schema integration
Author :
Ram, Sudha ; Ramesh, Venkataraman
Author_Institution :
Dept. of Manage. Inf. Syst., Arizona Univ., Tucson, AZ, USA
Volume :
10
Issue :
3
fYear :
1995
fDate :
6/1/1995 12:00:00 AM
Firstpage :
56
Lastpage :
62
Abstract :
Corporate information system environments are heterogeneous, consisting of multiple and independently managed databases. Many applications that assist decision making call for access to data from multiple heterogeneous databases. To facilitate this, there needs to be an integrated representation of the underlying databases that allows users to query multiple databases simultaneously. The process of deriving this integrated representation is called schema integration. Schema integration is time consuming and complex, as it requires a thorough understanding of the underlying database semantics. Since no data model can capture the entire real world semantics of each database´s objects, this process requires human agent assistance. Although certain aspects of schema integration can be automated, interaction with designers and users is still necessary. We describe a four-level blackboard architecture that supports schema integration and provide a detailed description of the communication among human and computational agents that this system allows
Keywords :
blackboard architecture; business data processing; cooperative systems; decision support systems; distributed databases; knowledge representation; query processing; software agents; blackboard-based cooperative system; computational agents; data access; database semantics; decision making; designers; four-level blackboard architecture; heterogeneous corporate information system environments; human agent assistance; independently managed databases; integrated representation; multiple databases; querying; schema integration; users; Air traffic control; Artificial intelligence; Computer architecture; Cooperative systems; Data models; Humans; Information retrieval; Problem-solving; Relational databases; Tires;
fLanguage :
English
Journal_Title :
IEEE Expert
Publisher :
ieee
ISSN :
0885-9000
Type :
jour
DOI :
10.1109/64.393144
Filename :
393144
Link To Document :
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