By Jérôme Euzenat,Pavel Shvaiko
Ontologies are typically came across far and wide. they're considered because the silver bullet for lots of purposes, similar to database integration, peer-to-peer structures, e-commerce, semantic internet providers, or social networks. in spite of the fact that, in open or evolving platforms, corresponding to the semantic internet, diversified events may, often, undertake diversified ontologies. therefore, in basic terms utilizing ontologies, like utilizing XML, doesn't decrease heterogeneity: it simply increases heterogeneity difficulties to a better level.
Euzenat and Shvaiko’s publication is dedicated to ontology matching as an answer to the semantic heterogeneity challenge confronted by means of computers. Ontology matching goals at discovering correspondences among semantically similar entities of alternative ontologies. those correspondences may well stand for equivalence in addition to different kinfolk, reminiscent of end result, subsumption, or disjointness, among ontology entities. many alternative matching ideas were proposed thus far from quite a few viewpoints, e.g., databases, details structures, and synthetic intelligence.
The moment version of Ontology Matching has been completely revised and up-to-date to mirror the latest advances during this speedy constructing quarter, which ended in greater than a hundred and fifty pages of latest content material. particularly, the booklet incorporates a new bankruptcy devoted to the technique for acting ontology matching. It additionally covers rising themes, equivalent to info interlinking, ontology partitioning and pruning, context-based matching, matcher tuning, alignment debugging, and consumer involvement in matching, to say a number of. greater than a hundred state of the art matching structures and frameworks have been reviewed.
With Ontology Matching, researchers and practitioners will discover a reference publication that provides presently on hand paintings in a uniform framework. particularly, the paintings and the options provided during this booklet may be both utilized to database schema matching, catalog integration, XML schema matching and different similar difficulties. The targets of the booklet contain providing (i) the cutting-edge and (ii) the newest study leads to ontology matching through offering a scientific and special account of matching options and matching platforms from theoretical, useful and alertness perspectives.
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