Title :
Graph theoretic knowledge representation and knowledge organisation
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., New Delhi, India
Abstract :
An attempt is made to develop an alternative knowledge representation method using the interpretive structural modeling (ISM) technique. Applying ISM entails generation of oriented and hierarchically arranged digraphs. These are considered a combination of conceptual graphs. The advantage obtained is that digraphs are precise minimum edge maps of the problem domain at hand, based on contextual relation(s) assumed among domain elements. The contextual relations also influence the form of the mapping structure. Since there is sufficient background knowledge in ISM, logical rules which help create an appropriately organized knowledge base are easily obtained
Keywords :
directed graphs; knowledge representation; conceptual graphs; contextual relations; digraphs; interpretive structural modeling; knowledge organisation; knowledge representation; mapping structure; precise minimum edge maps; Artificial intelligence; Cognitive science; Computer vision; Expert systems; Knowledge based systems; Knowledge engineering; Knowledge representation; LAN interconnection; Packaging; Pipelines;
Conference_Titel :
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0720-8
DOI :
10.1109/ICSMC.1992.271549