- (Ciravegna et al., 2002b) ⇒ Fabio Ciravegna, Alexiei Dingli, Daniela Petrelli, and Yorick Wilks. (2002). “Timely and Non-Intrusive Active Document Annotation via Adaptive Information Extraction.” In: Proceedings of the Workshop on Semantic Authoring Annotation and Knowledge Management at European Conference on Artificial Intelligence.
Subject Headings: Semantic Annotation Task.
- ~17 http://scholar.google.com/scholar?q=%22Timely+and+Non-Intrusive+Active+Document+Annotation+via+Adaptive+Information+Extraction%22+2002
- (Alani et al., 2003) ⇒ Harith Alani, Sanghee Kim, David E. Millard, Mark J. Weal, Wendy Hall, Paul H. Lewis, and Nigel R. Shadbolt. (2003). “Automatic Ontology-based Knowledge Extraction from Web Documents.” In: IEEE Intelligent Systems, 18(1).
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 of the most recent systems for actively supporting users in the process and reducing the burden of annotation. The integration of IE systems in annotation tools is quite a new development and in our opinion there is still the necessity of thinking the impact of the IE system in the process of annotation. In this paper we discuss two main requirements for active annotation: timeliness and tuning of intrusiveness. Then we present and discuss a model of interaction that addresses the two issues and Melita, an annotation framework that implements such methodology.,
|2002 TimelyAndNonIntrusiveDocAnnot||Fabio Ciravegna|
|Timely and Non-Intrusive Active Document Annotation via Adaptive Information Extraction||http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-100/Fabio Ciravegna-et-al.pdf|