Title :
Visual support for ontology learning: an experience report
Author_Institution :
Vrije Universiteit Amsterdam, Netherlands
Abstract :
Ontology learning methods aim to automate ontology construction. They are complex methods involving several elements such as documents, terms and concepts. During the development of an ontology learning method, as well as during its deployment, several situations occur where understanding the relations between these elements is crucial. Our hypothesis is that visual techniques can be used to aid this understanding. To support this claim, we present a set of such complex situations and describe the visual solutions that we developed to support them.
Keywords :
data visualisation; learning (artificial intelligence); ontologies (artificial intelligence); semantic Web; cluster map; data visualisation; ontology construction automation; ontology learning; semantic Web; visual techniques; Automation; Buildings; Context-aware services; Humans; Knowledge transfer; Learning systems; Machine learning; Ontologies; Semantic Web; Visualization; Cluster Map; Ontology Learning; Semantic Web; Visualisation;
Conference_Titel :
Information Visualisation, 2005. Proceedings. Ninth International Conference on
Print_ISBN :
0-7695-2397-8
DOI :
10.1109/IV.2005.137