Ontology is the explicit, formal specification of shared
conceptualization in a domain. It is one of the formal ways to
represent knowledge. Semantically linking across ontologies is the
basic backbone to ensure interoperability between agents or
services. Moreover, ontology matching becomes a central issue, when
building a Semantic Web, also known as "web of data." With the
development of social networking web sites and linked data, huge
amount of data is published on the web, which not only imposes new
technology challenges over conventional ontology matching
algorithms, but also demands new techniques for automatic instance
level matching to support discovery and management of different
individual descriptions referring to same real world object. OIM
compares different individuals within same or across heterogeneous
ontologies with the goal of recognizing same real world entity.
This book presents an efficient and scalable ontology instance
matching approach.
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