Ontologies tend to be found everywhere. They are viewed as the
silver bullet for many applications, such as database integration,
peer-to-peer systems, e-commerce, semantic web services, or social
networks. However, in open or evolving systems, such as the
semantic web, different parties would, in general, adopt different
ontologies. Thus, merely using ontologies, like using XML, does not
reduce heterogeneity: it just raises heterogeneity problems to a
higher level. Euzenat and Shvaiko's book is devoted to ontology
matching as a solution to the semantic heterogeneity problem faced
by computer systems. Ontology matching aims at finding
correspondences between semantically related entities of different
ontologies. These correspondences may stand for equivalence as well
as other relations, such as consequence, subsumption, or
disjointness, between ontology entities. Many different matching
solutions have been proposed so far from various viewpoints, e.g.,
databases, information systems, and artificial intelligence. The
second edition of Ontology Matching has been thoroughly revised and
updated to reflect the most recent advances in this quickly
developing area, which resulted in more than 150 pages of new
content. In particular, the book includes a new chapter dedicated
to the methodology for performing ontology matching. It also covers
emerging topics, such as data interlinking, ontology partitioning
and pruning, context-based matching, matcher tuning, alignment
debugging, and user involvement in matching, to mention a few. More
than 100 state-of-the-art matching systems and frameworks were
reviewed. With Ontology Matching, researchers and practitioners
will find a reference book that presents currently available work
in a uniform framework. In particular, the work and the techniques
presented in this book can be equally applied to database schema
matching, catalog integration, XML schema matching and other
related problems. The objectives of the book include presenting (i)
the state of the art and (ii) the latest research results in
ontology matching by providing a systematic and detailed account of
matching techniques and matching systems from theoretical,
practical and application perspectives.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!