Number of found records: 18
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CHAN, Soon Keng; FOO, Schubert |
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Interdisciplinary Perspectives on the Qualities of Abstracts for Information Retrieval. |
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A review of related works shows that ESP teachers generally perceive the abstract as a genre that is taught like the research article, and research focus has been on genre analyses in various disciplines. The important concern of ESP is to facilitate novice writers in producing abstracts for publication or attending conferences. A major question is whether abstracts used in the real world actually reflect prescribed conventions. On the other hand, information studies experts are mainly concerned with abstracts meeting the needs of end-users in information retrieval, and to this end whether abstracts fulfill standard measurements in information systems. A comparison of both perspectives appears to indicate the need for collaboration and awareness raising in both disciplines. ESP teachers need to examine the prospect of adding the complementary dimension of information science to the linguistic scaffolding that they have been providing to learner-writers. A focus group discussion comprising professionals in the discipline of information science, whose expertise and interests include information retrieval, services, management, organization, and systems design, was conducted. The findings from the focus group corroborated that underlying the apparent differing viewpoints between both disciplines there are distinct interdisciplinary overlaps in the concept and objectives of the abstract and abstract writing. These conclusions have significant implications for future research and teaching practice. (AU) |
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abstract; quality; information retrieval |
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DAY, Michael |
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Metadata : combining content-based and metadata-based approaches |
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Report from the Second UK Conference on Image Retrieval held in Newcastle on the 25-26 February 1999 |
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On line (12/05/2005) |
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This studies the retrieval of images on the WWW based on content |
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Image; retrieval; World Wide Web; metadata |
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IQBAL, Qasim; AGGARWAL, J. K. |
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Feature Integration, Multi-image Queries and Relevance Feedback in Image Retrieval. |
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6th International Conference on Visual Information Systems (VISUAL 2003), Miami, Florida, Sep. 24-26, 2003, pp.467-474. |
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In this paper, we explore the effect of feature integration, multi-image queries, and relevance feedback in enhancing the performance of an image retrieval system. Weighted integration of structure, color and texture features is studied. In addition, we propose a methodology of retrieval consisting of multiple query images, as opposed to the traditionally used model of a single query image. Two different mechanism of relevance feedback are also proposed and analyzed. Integration of features and feedback significantly improves the performance of the retrieval system (AU) |
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multi-image queries; feedback; relevance; image retrieval system |
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KIM, Sun; ZHANG BYOUNG, Tak |
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Genetic mining of HTML structures for effective Web-document retrieval |
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Applied intelligence, 2003, vol.18, n.3, pp. 243-256. |
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On line (12/05/2005) |
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Contribution to a special issue on text and Web mining. Presents a machine learning approach to mine the structure of HTML documents for effective Web document retrieval. Describes a genetic algorithm that learns the importance factors of HTML tags which are used to re-rank the documents retrieved by standard weighting schemes. Experimental evidence indicates that the proposed approach significantly improves the performance in retrieval accuracy. In particular, the use of the document structure mining approach tends to move relevant documents to upper ranks, which is especially important in interactive Web information retrieval environments. (AU) |
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Computer applications; data mining; artificial intelligence; Machine-learning; Genetic-algorithms |
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