Title :
Matching ontological subgraphs to concepts: A preliminary rough set approach
Author :
Pancerz, Krzysztof ; Grochowalski, Piotr
Author_Institution :
Inst. of Biomed. Inf., Univ. of Inf. Technol. & Manage., Rzeszów, Poland
fDate :
Nov. 29 2010-Dec. 1 2010
Abstract :
The paper is devoted to intelligent matching ontological subgraphs to concepts. The problem is considered from the point of view of rough set theory. An accuracy of approximation determines how far in a semantic space it is from a given ontological subgraph to a given concept. The approach presented in the paper can be applied to intelligent searching of a bibliographical data base for abstracts semantically close to the given concepts (keywords).
Keywords :
approximation theory; data mining; graph theory; ontologies (artificial intelligence); pattern matching; rough set theory; approximation; intelligent matching; intelligent searching; ontological subgraph; rough set theory; intelligent searching; matching problem; ontological graphs; rough sets;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8134-7
DOI :
10.1109/ISDA.2010.5687105
