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Title: User-system cooperation in document annotation based on information extraction
Authors: Ciravegna, Fabio
Dingli, Alexiei
Petrelli, Daniela
Wilks, Yorick
Keywords: Semantic Web
Expert systems (Computer science)
Corpora (Linguistics)
Knowledge management
Issue Date: 2002
Publisher: The ACM Digital Library
Citation: Ciravegna, F., Dingli, A., Petrelli, D., & Wilks, Y. (2002). User-system cooperation in document annotation based on information extraction. 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web, Siguenza. 122-137.
Abstract: The process of document annotation for the Semantic Web is complex and time consuming, as it requires a great deal of manual annotation. Information extraction from texts (IE) is a technology used by some very recent systems for reducing the burden of annotation. The integration of IE systems in annotation tools is quite a new development and there is still the necessity of thinking the impact of the IE system on the whole annotation process. In this paper we initially discuss a number of requirements for the use of IE as support for annotation. Then we present and discuss a model of interaction that addresses such issues and Melita, an annotation framework that implements a methodology for active annotation for the Semantic Web based on IE. Finally we present an experiment that quantifies the gain in using IE as support to human annotators.
ISBN: 3540442685
Appears in Collections:Scholarly Works - FacICTAI

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