User-Defined semantic enrichment of full-text documents: experiences and lessons learned

Authors:
Annika Hinze;Ralf Heese;Alexa Schlegel;Markus Luczak-Rösch
Affiliations:
Department of Computer Science, University of Waikato, New Zealand;Department of Computer Science, Freie Universität Berlin, Germany;Department of Computer Science, Freie Universität Berlin, Germany;Department of Computer Science, Freie Universität Berlin, Germany
Venue:
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
Year:
2012

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Abstract

Semantic annotation of digital documents is typically done at meta-data level. However, for fine-grained access semantic enrichment of text elements or passages is needed. 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 a number of studies to evaluate its acceptance by and usability for non-expert users. This paper discusses the lessons learned about both the semantic enrichment process and our methodology of exposing non-experts to semantic enrichment.