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Definition
Holistic schema matching aims at identifying semantically corresponding elements in multiple schemas, e.g., database schemas, web forms, or ontologies. The corresponding elements from N (>2) sources are typically grouped into clusters with up to N members. Holistic schema matching is usually applied when multiple schemas need to be combined within an integrated schema or ontology.
Overview
Holistic schema matching aims at identifying semantically corresponding elements in multiple (>2) schemas, such as database schemas, web forms, or ontologies. It is to be contrasted with the traditional pairwise schema matching (Rahm and Bernstein 2001; Euzenat and Shvaiko 2013) between two input schemas only that determines a so-called mapping consisting of a set of correspondences, i.e., pairs of elements of the input schemas (table attributes, ontology concepts) that match with each other. Holistic schema matching is applied to more than two input...
References
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Rahm, E., Peukert, E. (2018). Holistic Schema Matching. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_12-1
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DOI: https://doi.org/10.1007/978-3-319-63962-8_12-1
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