This paper presents an intelligent Internet information system, Automatic Classifier for the Internet Resource Discovery (ACIRD), which uses machine learning techniques to organiz...
The knowledge-engineering literature contains a number of approaches for constructing or selecting problem solvers. Some of these approaches are based on indexing and selecting a ...
Annette ten Teije, Frank van Harmelen, A. Th. Schr...
Abstract. Anaphora resolution in current computer-processable controlled natural languages relies mainly on syntactic information, accessibility constraints and the distance of the...
1 A knowledge acquisition process that has been implemented by a virtual team for the development of a knowledge based early warning system in Material Recovery Facilities (MRFs) o...
Ioannis M. Dokas, Konstantinos Kitis, Christos Dod...
Building a domain model consumes a major portion of the time and effort required for building an Intelligent Tutoring System. Past attempts at reducing the knowledge acquisition bo...
This paper details a visual concept ontology driven knowledge acquisition methodology. We propose to use a visual concept ontology to guide experts in the visual description of the...
The main claim of this paper is that machine learning can help integrate the construction of ontologies and extraction grammars and lead us closer to the Semantic Web vision. The p...
We developed a set of didactic games and activities that can be used to illustrate and teach various concepts from Information Theory. For each of the games and activities we list ...