Search (7 results, page 1 of 1)

Wei, M.; Xu, L.: Boolean mapping algorithms across heterogeneous information sources (1998) 0.07

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Abstract: Notes the difficulties of searching over heterogeneous information sources where query languages are not unifrom. Presents a model where Boolean queries are composed in one rich front end language. For each query and target source, the query is transformed into a subsuming query that can be supported by the source but may return extra documents. The results are then processed by a filter query to yield the correct results

Tseng, Y.-H.: Solving vocabulary problems with interactive query expansion (1998) 0.03
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Abstract

One of the major causes of search failures in information retrieval systems is vocabulary mismatch. Presents a solution to the vocabulary problem through 2 strategies known as term suggestion (TS) and term relevance feedback (TRF). In TS, collection specific terms are extracted from the text collection. These terms and their frequencies constitute the keyword database for suggesting terms in response to users' queries. One effect of this term suggestion is that it functions as a dynamic directory if the query is a general term that contains broad meaning. In term relevance feedback, terms extracted from the top ranked documents retrieved from the previous query are shown to users for relevance feedback. In the experiment, interactive TS provides very high precision rates while achieving similar recall rates as n-gram matching. Local TRF achieves improvement in both precision and recall rate in a full text news database and degrades slightly in recall rate in bibliographic databases due to the very limited source of information for feedback. In terms of Rijsbergen's combined measure of recall and precision, both TS and TRF achieve better performance than n-gram matching, which implies that the greater improvement in precision rate compensates the slight degradation in recall rate for TS and TRF
Huang, Y.-L.: ¬A theoretic and empirical research of cluster indexing for Mandarine Chinese full text document (1998) 0.03
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Abstract

Since most popular commercialized systems for full text retrieval are designed with full text scaning and Boolean logic query mode, these systems use an oversimplified relationship between the indexing form and the content of document. Reports the use of Singular Value Decomposition (SVD) to develop a Cluster Indexing Model (CIM) based on a Vector Space Model (VSM) in orer to explore the index theory of cluster indexing for chinese full text documents. From a series of experiments, it was found that the indexing performance of CIM is better than traditional VSM, and has almost equivalent effectiveness of the authority control of index terms

Lee, Y.-R.: ¬A study on the conditions of using OPAC access points and subject searching by users (1997) 0.01

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Source: Bulletin of library and information science. 1997, no.22, S.39-55

Yi, H.; Shubai, L.: Application of classification in information organization under the networking environment (1998) 0.01

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Source: Journal of the China Society for Scientific and Technical Information. 17(1998) no.1, S.19-22

Lin, W.-Y.C.: ¬The concept and applications of faceted classifications (2006) 0.01

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Date: 27. 5.2007 22:19:35

Pu, H.-T.: Exploration of personalized information service for OPAC (1997) 0.01

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Date: 4. 8.1998 19:36:22

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