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