Yahoo! as an ontology: using Yahoo! categories to describe documents
Proceedings of the eighth international conference on Information and knowledge management
Predicting how ontologies for the semantic web will evolve
Communications of the ACM - Ontology: different ways of representing the same concept
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
On Requirements for Ontologies in Management of Web Services
CAiSE '02/ WES '02 Revised Papers from the International Workshop on Web Services, E-Business, and the Semantic Web
Adopting ontology to facilitate knowledge sharing
Communications of the ACM - Bioinformatics
A business process context for Knowledge Management
Decision Support Systems
Extracting knowledge from XML document repository: a semantic Web-based approach
Information Technology and Management
MOQ: Web services ontologies for QoS and general quality evaluations
International Journal of Metadata, Semantics and Ontologies
| Hi-index | 0.00 |
Though the WWW is used for business process automation to lower costs and shorten leadtimes, arguably its use has been limited for another metric of business success: Improving quality. A promising advancement to the WWW is the development of the Semantic Web, which relies upon using machine process-able domain knowledge represented in ontologies. Therefore, one promising area of research and application is the development of ontologies used as data models to provide quality management services on the Semantic Web. In this paper, the TOVE Measurement Ontology is presented as a formal model of a fundamental domain, which needs to be represented to provide these services. Measurement is fundamental for representing quality because before quality is evaluated and managed, it must first be measured. An assessment system for measuring attributes of an entity, activities for measurement, and quality as conformance to requirements are the core concepts represented in the ontology. The formal representation of measurement is emphasized over detailing context of ontology use, since this is an issue not heavily examined by the ontology community and one that needs to be detailed in order develop data models to provide Semantic Web based quality management services.