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- editor_ss:"schwerpunktinitiative "digitale information" der alliant der deutschen wissenschaftsorganisationen" 2
- editor_ss:"schwerpunktinitiative "digitale information" der allianz der deutschen wissenschaftsorganisation" 2
- editor_ss:"schwerpunktinitiativen "digitale information" der allianz der deutschen wissenschaftsorganisationen" 2
- editor_ss:"schwerpunktinitiative "digitale information" der alliance der deutschen wissenschaftsorganisationen" 2
- editor_ss:"schwerpunktinitiativen "digitale information" der alliant der deutschen wissenschaftsorganisationen" 2
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Chen, H.; Dhar, V.: Cognitive process as a basis for intelligent retrieval system design (1991)
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- Abstract
- 2 studies were conducted to investigate the cognitive processes involved in online document-based information retrieval. These studies led to the development of 5 computerised models of online document retrieval. These models were incorporated into a design of an 'intelligent' document-based retrieval system. Following a discussion of this system, discusses the broader implications of the research for the design of information retrieval sysems
- Source
- Information processing and management. 27(1991) no.5, S.405-432
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Chen, H.; Martinez, J.; Kirchhoff, A.; Ng, T.D.; Schatz, B.R.: Alleviating search uncertainty through concept associations : automatic indexing, co-occurence analysis, and parallel computing (1998)
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- Abstract
- In this article, we report research on an algorithmic approach to alleviating search uncertainty in a large information space. Grounded on object filtering, automatic indexing, and co-occurence analysis, we performed a large-scale experiment using a parallel supercomputer (SGI Power Challenge) to analyze 400.000+ abstracts in an INSPEC computer engineering collection. Two system-generated thesauri, one based on a combined object filtering and automatic indexing method, and the other based on automatic indexing only, were compaed with the human-generated INSPEC subject thesaurus. Our user evaluation revealed that the system-generated thesauri were better than the INSPEC thesaurus in 'concept recall', but in 'concept precision' the 3 thesauri were comparable. Our analysis also revealed that the terms suggested by the 3 thesauri were complementary and could be used to significantly increase 'variety' in search terms the thereby reduce search uncertainty
- Source
- Journal of the American Society for Information Science. 49(1998) no.3, S.206-216