WonderTools?: a comparative study of ontological engineering tools
International Journal of Human-Computer Studies
Authoring and annotation of web pages in CREAM
Proceedings of the 11th international conference on World Wide Web
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
CREAM: CREAting metadata for the Semantic Web
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: The Semantic Web: an evolution for a revolution
Semantic web HCI: discussing research implications
CHI '07 Extended Abstracts on Human Factors in Computing Systems
IkeWiki: A Semantic Wiki for Collaborative Knowledge Management
WETICE '06 Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Ontology change: Classification and survey
The Knowledge Engineering Review
Conceptual and Lexical Prototypicality Gradients Dedicated to Ontology Personalisation
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
COHSE: dynamic linking of web resources
COHSE: dynamic linking of web resources
Semantic annotation for knowledge management: Requirements and a survey of the state of the art
Web Semantics: Science, Services and Agents on the World Wide Web
Usability and the semantic web
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
OntoWiki – a tool for social, semantic collaboration
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
User-Defined semantic enrichment of full-text documents: experiences and lessons learned
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
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Most of the semantic content available has been generated automatically by using annotation services for existing content. Automatic annotation is not of sufficient quality to enable focused search and retrieval: either too many or too few terms are semantically annotated. User-defined semantic enrichment allows for a more targeted approach. We developed a tool for semantic annotation of digital documents and conducted an end-user study to evaluate its acceptance by and usability for non-expert users. This paper presents the results of this user study and discusses the lessons learned about both the semantic enrichment process and our methodology of exposing non-experts to semantic enrichment.