Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the ...
1 The investigation of linguistic expressions of space and time typically presupposes an interdependency between these two related conceptual domains, resulting in a quasi-metaphor...
This paper was prepared for a lecture at a recent meeting of the German Chapter of ISKO devoted to Wissensorganisation mit Multimedialen Techniken [Knowledge Organization with Mul...
Our work in content-based image retrieval (CBIR) relies on content-analysis of multiple representations of an image which we term multiple viewpoints or channels. The conceptual id...
Here is discussed how to construct domain ontologies with both taxonomic and non-taxonomic conceptual relationships, exploiting a machinereadable dictionary (MRD) and domain-speci...