Title :
Hierarchical co-occurence relations
Author :
Gedeon, T.D. ; Kóczy, L.T.
Author_Institution :
Dept. of Inf. Eng., New South Wales Univ., Sydney, NSW, Australia
Abstract :
We introduce a method using fuzzy similarity (equivalence) and tolerance (compatibility) relations, that allows the “concentric” extension of searches based on the hierarchical co-occurrence of words and phrases. This is to solve the problem of automatic indexing and retrieval of documents where user queries may not include any words occurring in the documents that should be retrieved. Various methods are proposed and illustrated, with the intention of real application in legal document collections
Keywords :
computational complexity; fuzzy logic; fuzzy set theory; information retrieval; automatic indexing; automatic retrieval; document retrieval; fuzzy similarity relations; fuzzy tolerance relations; hierarchical co-occurence relations; legal document collections; Computer science; Electronic mail; Frequency; Fuzzy logic; Information retrieval; Joining processes; Law; Legal factors; Machine assisted indexing; Telematics;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.725077
