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In this paper we investigate the application of data mining methods to provide learners with real-time adaptive feedback on the nature and patterns of their on-line communication while learning collaboratively. We derived two models for classifying chat messages using data mining techniques and tested these on an actual data set . The reliability of the… (More)
In this paper we investigate how retrieving information can be improved through task related indexing of documents based on ontologies. Different index types, varying from contentbased keywords to structured taskbased indexing ontologies are compared in an experiment that simulates the task of creating instructional material from a database of source… (More)
In this paper we explore tool support for categorical coding of verbal and chat data. We consider tool support for manual coding, automatic coding by learning algorithms, and derive at a socio-technical approach in which human coders and learning algorithms together address the coding task. Given that a literature study suggests researchers devise, adapt… (More)
We describe the approach AIDAS uses to extract the logical document structure from PDF documents. The approach is based on the idea that the layout structure contains cues about the logical structure and that the logical structure can be discovered incrementally.
It is next to impossible to develop real-life applications in just pure Prolog. With XPCE  we realised a mechanism for integrating Prolog with an external object-oriented system that turns this OO system into a natural extension to Prolog. We describe the design and how it can be applied to other external OO systems.
Scanning the internal and external environment of an organisation to trace current and emerging topics of discourse, is an important task for knowledge management. Results of this scanning process can be used to anticipate on new developments and for detecting possible knowledge bottlenecks. This paper addresses the unobtrusive identification of conceptual… (More)