Title :
Knowledge Representation and Adaptation within Ontological Semantic Technology
Author :
Hempelmann, Christian F. ; Petrenko, Max
Author_Institution :
Dept. of Literature & Languages, Texas A&M Univ. - Commerce, Commerce, TX, USA
Abstract :
The paper briefly discusses techniques of semi-automatic detection of outdated knowledge within the framework of Ontological Semantic Technology. Following an overview of the architecture and functionality of Ontological Semantic Technology, the paper illustrates, based on specific examples, how subsumption gaps are detected, and historical and evolving knowledge is incorporated into the ontology.
Keywords :
ontologies (artificial intelligence); evolving knowledge; historical knowledge; knowledge adaptation; knowledge representation; ontological semantic technology; semi-automatic knowledge detection; Conferences; Context; Diseases; Microorganisms; Ontologies; Semantics; Syntactics; Ontological Semantic Technology; adaptation; ontology; ontology evaluation; ontology learning; unattested input;
Conference_Titel :
Semantic Computing (ICSC), 2013 IEEE Seventh International Conference on
Conference_Location :
Irvine, CA
DOI :
10.1109/ICSC.2013.29
