TY - GEN
T1 - Combining the Best of Global-as-View and Local-as-View for Data Integration
AU - Xu, Li
AU - Embley, David W.
N1 - Funding Information:
∗This material is based upon work supported by the National Science Foundation under grant IIS-0083127.
Publisher Copyright:
© 2004 Gesellschaft fur Informatik (GI). All rights reserved.
PY - 2004
Y1 - 2004
N2 - Currently, there are two main basic approaches to data integration: Global-as-View (GAV) and Local-as-View (LAV). However, both GAV and LAV have their limitations. In a GAV approach, changes in information sources or adding a new information source requires revisions of a global schema and mappings between the global schema and source schemas. In a LAV approach, automating query reformulation has exponential time complexity with respect to query and source schema definitions. To resolve these problems, we offer TIQS as an alternative point of view that is neither GAV nor LAV. The approach uses source-to-target mappings based on a predefined conceptual target schema, which is specified ontologically and independently of any of the sources. The proposed data integration system is easier to maintain than both GAV and LAV, and query reformulation reduces to rule unfolding. Compared with other data integration approaches, our approach combines the advantages of GAV and LAV, mitigates the disadvantages, and provides an alternative for flexible and scalable data integration.
AB - Currently, there are two main basic approaches to data integration: Global-as-View (GAV) and Local-as-View (LAV). However, both GAV and LAV have their limitations. In a GAV approach, changes in information sources or adding a new information source requires revisions of a global schema and mappings between the global schema and source schemas. In a LAV approach, automating query reformulation has exponential time complexity with respect to query and source schema definitions. To resolve these problems, we offer TIQS as an alternative point of view that is neither GAV nor LAV. The approach uses source-to-target mappings based on a predefined conceptual target schema, which is specified ontologically and independently of any of the sources. The proposed data integration system is easier to maintain than both GAV and LAV, and query reformulation reduces to rule unfolding. Compared with other data integration approaches, our approach combines the advantages of GAV and LAV, mitigates the disadvantages, and provides an alternative for flexible and scalable data integration.
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M3 - Conference contribution
AN - SCOPUS:85134593046
T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
SP - 123
EP - 136
BT - Information Systems Technology and its Applications, 3rd International Conference, ISTA 2004 - Proceedings
A2 - Doroshenko, Anatoly E.
A2 - Halpin, Terry A.
A2 - Liddle, Stephen W.
A2 - Mayr, Heinrich C.
PB - Gesellschaft fur Informatik (GI)
T2 - 3rd International Conference on Information Systems Technology and its Applications, ISTA 2004
Y2 - 15 June 2004 through 17 June 2004
ER -