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