Abstract
With the tremendous growth in (semi-)structured information, in particular, the databases behind the deep Web, customized integration of data sources is highly desirable to accommodate various user needs. To build and maintain a potentially large number of customized integration systems (called meta-queriers), the first important step is to discover the mappings among their query forms for enabling interoperability between the meta-queriers and user-selected data sources. This paper proposes a reuse-oriented solution to mapping discovery by exploiting existing mappings. For facilitating mapping reuse, ontology-based and changed-oriented models are introduced to abstract mappings respectively from the mapping peers (the mappings in the same domain) and the mapping evolution (the mappings from the previous versions). A human-friendly validation strategy is proposed in the pursuit of wide and active participation of non-technical volunteers. Our experimental results on real-world data sets confirm the feasibility and effectiveness of this solution.
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Li, X., Chow, R. (2011). Reuse-Oriented Mapping Discovery for Meta-querier Customization. In: Hameurlain, A., Liddle, S.W., Schewe, KD., Zhou, X. (eds) Database and Expert Systems Applications. DEXA 2011. Lecture Notes in Computer Science, vol 6860. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23088-2_6
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DOI: https://doi.org/10.1007/978-3-642-23088-2_6
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