Title :
Towards efficient multi-feature queries in heterogeneous environments
Author :
Güntzer, U. ; Balke, W.-T. ; Kiessling, W.
Author_Institution :
Tubingen Univ., Germany
Abstract :
Applications like multimedia databases or enterprise-wide information management systems have to meet the challenge of efficiently retrieving the best-matching objects from vast collections of data. We present a new algorithm, called Stream-Combine, for processing multi-feature queries on heterogeneous data sources. Stream-Combine is self-adapting to different data distributions and to the specific kind of the combining function. Furthermore, we present a new retrieval strategy that essentially speeds up the output of relevant objects
Keywords :
distributed databases; management information systems; multimedia databases; query processing; self-adjusting systems; software performance evaluation; very large databases; Stream-Combine algorithm; best-matching object retrieval; combining function; data distributions; efficient multi-feature queries; enterprise-wide information management systems; heterogeneous data sources.; heterogeneous database environments; information retrieval strategy; large data collections; multi-feature query processing; multimedia databases; relevant object output speed; self-adapting algorithm; Information retrieval; Information systems; Internet; Middleware; Multimedia databases; Portals; Search engines; Spatial databases; Speech recognition; Streaming media;
Conference_Titel :
Information Technology: Coding and Computing, 2001. Proceedings. International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7695-1062-0
DOI :
10.1109/ITCC.2001.918866