Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances

Abstract

By providing interoperability and shared meaning across actors and
domains, lightweight domain ontologies are a cornerstone technology of
the Semantic Web. This chapter investigates evidence sources for ontology learning and describes a generic and extensible approach to ontology
learning that combines such evidence sources to extract domain concepts,
identify relations between the ontology’s concepts, and detect relation labels automatically. An implementation illustrates the presented ontology
learning and relation labeling framework and serves as the basis for dis-
cussing possible pitfalls in ontology learning. Afterwards, three use cases
demonstrate the usefulness of the presented framework and its application
to real-world problems.