Ontology map** is seen as a solution provider in today's landscape of ontology research.
As the number of ontologies that are made publicly available and accessible on the Web …

Much of biology works by applying prior knowledge ('what is known') to an unknown entity,
rather than the application of a set of axioms that will elicit knowledge. In addition, the …

Description Logics are a family of knowledge representation languages that have been
studied extensively in Artificial Intelligence over the last two decades. They are embodied in …

The Semantic Web relies heavily on formal ontologies to structure data for comprehensive
and transportable machine understanding. Thus, the proliferation of ontologies factors …

The main objective of this thesis is to contribute to the theory of Conceptual Modeling by
proposing ontological foundations for structural conceptual models. Conceptual Modeling is …

Ontologies were developed in Artificial Intelligence to facilitate knowledge sharing and
reuse. Since the beginning of the nineties ontologies have become a popular research topic …

The OWL Web Ontology Language is a new formal language for representing ontologies in
the Semantic Web. OWL has features from several families of representation languages …

We review the use on ontologies for the integration of heterogeneous information sources.
Based on an in-depth evaluation of existing approaches to this problem we discuss how …

Researchers in artificial intelligence first developed ontologies to facilitate knowledge
sharing and reuse. Ontologies play a major role in supporting information exchange across …

Abstract Knowledge-based systems have become ubiquitous in recent years. Knowledge-
base developers need to be able to share and reuse knowledge bases that they build …