A collaborative approach to ontology design
Communications of the ACM - Ontology: different ways of representing the same concept
EKAW '99 Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management
S-CREAM - Semi-automatic CREAtion of Metadata
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
SemTag and seeker: bootstrapping the semantic web via automated semantic annotation
WWW '03 Proceedings of the 12th international conference on World Wide Web
Uncertainty Handling and Quality Assesment in Data Mining
Uncertainty Handling and Quality Assesment in Data Mining
Collaborative and usage-driven evolution of personal ontologies
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
RELFIN – topic discovery for ontology enhancement and annotation
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
Information Processing and Management: an International Journal
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Mining algorithms can enhance the task of ontology establishment but methods are needed to assess the quality of their findings. Ontology establishment is a long-term interactive process, so it is important to evaluate the contribution of a mining tool at an early phase of this process so that only appropriate tools are used in later phases. We propose a method for the evaluation of such tools on their impact on ontology enhancement. We model impact as quality perceived by the expert and as statistical quality computed by an objective function. We further provide a mechanism that juxtaposes the two forms of quality. We have applied our method on an ontology enhancement tool and gained some interesting insights on the interplay between perceived impact and statistical quality.