Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Shared lexicon for distributed annotations on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Essential Thesaurus Construction
Essential Thesaurus Construction
A framework for information quality assessment
Journal of the American Society for Information Science and Technology
EnTag: enhancing social tagging for discovery
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
ACoAR: a method for the automatic classification of annotated resources
Proceedings of the fifth international conference on Knowledge capture
Semantic relations for content-based recommendations
Proceedings of the fifth international conference on Knowledge capture
Semantic search on heterogeneous Wiki systems
Proceedings of the 6th International Symposium on Wikis and Open Collaboration
Quality assurance in collaboratively created web vocabularies
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Finding quality issues in SKOS vocabularies
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
Improving the quality of SKOS vocabularies with skosify
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Perception and relevance of quality issues in web vocabularies
Proceedings of the 9th International Conference on Semantic Systems
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This paper presents conceptual assumptions about the interaction between the structural specificities of a thesaurus and the quality of a thesaurus-based application output. So far hardly any literature exists that discusses thesaurus modelling requirements with respect to the following thesaurus-specific application areas: classifying, indexing, autocom-plete, query expansion, recommendation and glossaries. By looking at these application areas the authors compare the structural attributes of SKOS and discuss their functional relevance. The authors conclude that taking these assumptions into account can significantly support application-oriented thesaurus modelling hence incrementally improving thesaurus-based applications in terms of modelling scope and effort. An empirical testing of these assumptions is subject to future work.