Databases Reference
In-Depth Information
multimatcher architecture with support for combining linguistic, structural, and
instance-based matching. We discussed first approaches in several areas that seem
promising for large-scale matching, particularly partition-based matching, paral-
lel matching, self-tuning of match workflows, and reuse of previously determined
match mappings. Such techniques are not yet common in current match systems,
and more research is needed in all these areas.
Research on holistic (
-way) schema matching mostly focused on very simple
schemas such as web forms. More research is therefore needed for
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-way matching
(clustering) of more complex schemas. An important variation of this problem is
searching the most similar schemas for a given schema. Within advanced match
strategies for large schemas, such search approaches are also needed for finding
relevant subschemas.
Fully automatic schema matching is possible and may provide sufficient match
quality for simple schemas such as web forms. This is especially the case for the
idea of probabilistic mediated schemas considering several alternatives for cluster-
ing attributes. For large schemas and ontologies, on the other hand, user interaction
remains necessary to configure match workflows, perform incremental matching on
selected schema portions, and to provide feedback on the correctness of match can-
didates. Integrating the various match techniques within a usable and effective data
integration infrastructure is challenging and also requires much more work.
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