DocumentCode :
2179021
Title :
An incremental approach to text representation, categorization, and retrieval
Author :
O´Neil, Paul
Author_Institution :
Rome Lab., Italy
Volume :
2
fYear :
1997
fDate :
18-20 Aug 1997
Firstpage :
714
Abstract :
Efficient and accurate information retrieval is a goal of just about everyone. Whether you are looking for information on the Internet, a book or article in the library, satellite imagery of missile silos, or a recipe for dinner, finding exactly what you want or need, even if you know exactly what you are looking for, can be an imposing and most difficult task. Many current techniques require an intimate understanding of the actual processes involved. The method presented in this paper provides for an automatic representation of text data by vectors, which can then be manipulated to categorize and organize the data. Information can be retrieved without knowledge of the underlying process. The user can ask for information using normal discourse. This technology can also be applied to data mining and visualization
Keywords :
data structures; data visualisation; information retrieval; data mining; data visualization; incremental approach; information retrieval; missile silos; normal discourse; text categorization; text representation; text retrieval; Books; Data mining; Data visualization; Information retrieval; Internet; Laboratories; Libraries; Microcomputers; Missiles; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
Type :
conf
DOI :
10.1109/ICDAR.1997.620601
Filename :
620601
Link To Document :
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