DocumentCode
3522371
Title
Document categorization and retrieval using semantic microfeatures and growing cell structures
Author
Deng, Wantao ; Wu, Wendy
Author_Institution
Sch. of Comput. Sci., Middllesex Univ., London, UK
fYear
2001
fDate
2001
Firstpage
270
Lastpage
274
Abstract
Presents an approach to document categorization and retrieval using growing cell structures. Semantic microfeatures together with other information are adopted for document representation. The main advantage over traditional information retrieval systems which adopt index terms to index and retrieve documents is that the new approach considers the semantic relationships among documents. The paper describes how to construct document microfeature weight vectors and use growing cell structures clustering them. Some experimental results are also presented
Keywords
information retrieval; learning (artificial intelligence); self-organising feature maps; clustering; document categorization; document representation; document retrieval; growing cell structures; self organizing neural network; semantic microfeatures; semantic relationships; Automatic control; Clustering algorithms; Data mining; Dictionaries; Information retrieval; Neural networks; Organizing; Process control; Sufficient conditions; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 2001. Proceedings. 12th International Workshop on
Conference_Location
Munich
Print_ISBN
0-7695-1230-5
Type
conf
DOI
10.1109/DEXA.2001.953074
Filename
953074
Link To Document