DocumentCode
2019985
Title
Visual support for ontology learning: an experience report
Author
Sabou, Marta
Author_Institution
Vrije Universiteit Amsterdam, Netherlands
fYear
2005
fDate
6-8 July 2005
Firstpage
494
Lastpage
499
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualisation, 2005. Proceedings. Ninth International Conference on
ISSN
1550-6037
Print_ISBN
0-7695-2397-8
Type
conf
DOI
10.1109/IV.2005.137
Filename
1509121
Link To Document