Title :
A Markov random field approach for querying and reconciling heterogeneous databases
Author :
Bianco, G. ; De Antonellis, V. ; Castano, S. ; Melchiori, M.
Author_Institution :
Brescia Univ., Italy
Abstract :
The problem of defining a uniform query interface to access distributed heterogeneous data sources is becoming more and more important in the modern, distributed information systems. Main focus is on how to handle semantic heterogeneity of data in different sources to support integration and query processing activities. In both cases, techniques to assess similarity between schema elements of different data sources are required, to support the derivation of a reconciled representation at the global level and similarity-based search over different sources. In this paper we introduce an approach based on the Markov random field theory for similarity-based matching of database schemas
Keywords :
Markov processes; distributed databases; query processing; user interfaces; IS; Markov random field theory; distributed heterogeneous data sources; distributed information systems; heterogeneous database querying; heterogeneous database reconciliation; semantic heterogeneity; similarity-based matching; similarity-based search; uniform query interface; Databases; Decision support systems; Fiber reinforced plastics; Helium; Markov random fields; Mercury (metals);
Conference_Titel :
Database and Expert Systems Applications, 1999. Proceedings. Tenth International Workshop on
Conference_Location :
Florence
Print_ISBN :
0-7695-0281-4
DOI :
10.1109/DEXA.1999.795164