DocumentCode
2508072
Title
Resolution spaces: a topological approach to similarity
Author
Georgatos, Konstantinos
Author_Institution
Dept. of Math., City Univ. of New York, NY, USA
fYear
2000
fDate
2000
Firstpage
553
Lastpage
557
Abstract
A central concept for information retrieval is that of similarity. Although an information retrieval system is expected to return a set of documents most relevant to the query word(s), it is often described as returning a set of documents most similar to the query. The authors argue that in order to reason with similarity we need to model the concept of discriminating power. They offer a simple topological notion called resolution space that provides a rich mathematical framework for reasoning with limited discriminating power, avoiding the vagueness paradox
Keywords
database theory; indexing; inference mechanisms; information retrieval; topology; discriminating power; documents; information retrieval; mathematical framework; query word; reasoning; resolution spaces; similarity; topological approach; vagueness paradox; Educational institutions; Electronic mail; Frequency; Indexing; Information retrieval; Mathematical model; Mathematics; Testing; Topology; Utility theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop on
Conference_Location
London
ISSN
1529-4188
Print_ISBN
0-7695-0680-1
Type
conf
DOI
10.1109/DEXA.2000.875080
Filename
875080
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