Managing ontologies and annotated data throughout their life-cycles is at the core of semantic systems of all kinds. Ontology Management, an edited volume by distinguished leaders in this field, provides an up-to-date, scientifically correct, concise and easy-to- read reference.

This volume includes relevant tasks, practical and theoretical challenges, limitations and methodologies, plus available tooling support. The editors discuss integrating the conceptual and technical dimensions with a business view on using ontologies, by stressing the cost dimension of ontology engineering and by providing guidance on how to derive ontologies semi-automatically from existing standards and specifications.

Inhalt
Overview.- Ontologies: State of the Art, Business Potential, and Grand Challenges.- Infrastructure.- Engineering and Customizing Ontologies.- Ontology Management Infrastructures.- Ontology Reasoning with Large Data Repositories.- Evolution, Alignment, and the Business Perspective.- Ontology Evolution.- Ontology Alignments.- The Business View: Ontology Engineering Costs.- Experiences.- Ontology Management in e-Banking Applications.- Ontology-Based Knowledge Management in Automotive Engineering Scenarios.- Ontologising Competencies in an Interorganisational Setting.