Title :
Ontology key concepts interpretation
Author :
J. Vrana;M. Mach
Author_Institution :
Dept. of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical, University, Kosice, Slovakia
Abstract :
Semantic Web has reached the point where basic research is supposed to be replaced (at least partially) by research aiming at practical aspects of using the Semantic Web. Ontologies, as the essential technology in this area, have been under the spot light which produced some results, e.g. the Semantic Web Search engines like Watson, Swoogle etc. These help in finding and locating semantic information on the Web. However, they do not support users to quickly understand what an ontology is about, what information it contains. We argue in this paper that vector description, as a snapshot of data comprised by ontologies, may help while understanding of particular ontology. In other words, instead of depicting a whole ontology all together, we prefer reduction of information given and therefore avoid users being overwhelmed and thus help with orienting in a wide offering of ontologies on the web.
Keywords :
"Ontologies","Semantic Web","Informatics","Machine intelligence","Cybernetics","Artificial intelligence","Search engines","Knowledge management","Spine","Decision making"
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2010 IEEE 8th International Symposium on
Print_ISBN :
978-1-4244-6422-7
DOI :
10.1109/SAMI.2010.5423736