Artificial Intelligence and Soft Computing – ICAISC 2006, 2006, p.1120-1129
2006
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- Titel
- A Possibilistic-Logic-Based Information Retrieval Model with Various Term-Weighting Approaches
- Ist Teil von
- Artificial Intelligence and Soft Computing – ICAISC 2006, 2006, p.1120-1129
- Ort / Verlag
- Berlin, Heidelberg: Springer Berlin Heidelberg
- Erscheinungsjahr
- 2006
- Quelle
- Alma/SFX Local Collection
- Beschreibungen/Notizen
- A new possibilistic-logic-based information retrieval model is presented. Its main feature is an explicit representation of both vagueness and uncertainty pervading the textual information representation and processing. The weights of index terms in documents and queries are directly interpreted as quantifying this vagueness and uncertainty. The classical approaches to the term-weighting are tested on a standard data set in order to validate their appropriateness for expressing vagueness and uncertainty.
- Sprache
- Englisch
- Identifikatoren
- ISBN: 3540357483, 9783540357483ISSN: 0302-9743eISSN: 1611-3349DOI: 10.1007/11785231_117Titel-ID: cdi_pascalfrancis_primary_19992831
- Format
- –
- Schlagworte
- Algorithmics. Computability. Computer arithmetics, Applied sciences, Artificial intelligence, Computer science, control theory, systems, Exact sciences and technology, Index Term, Information Retrieval, Information Retrieval System, Information systems. Data bases, Memory organisation. Data processing, Propositional Variable, Software, Theoretical computing, Vector Space Model