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dc.contributor.authorLee, Yuanen_US
dc.contributor.authorCan, Fazlien_US
dc.date.accessioned2008-07-22T19:31:46Zen_US
dc.date.accessioned2013-07-10T15:06:35Z
dc.date.available2008-07-22T19:31:46Zen_US
dc.date.available2013-07-10T15:06:35Z
dc.date.issued1992-08-01en_US
dc.date.submitted2008-03-17en_US
dc.identifier.uri
dc.identifier.urihttp://hdl.handle.net/2374.MIA/255en_US
dc.description.abstractInformation Retrieval (IR), which is also known as text or document retrieval, is the process of locating and retrieving docri)nents that are relevant to the user queries. In hypertext environments, docuinent databases are organized as a network of nodes which are interconnected by various types of links. This study introduces a hypertext-based text retrieval system, HypIR. In HypIR, the sentantic relationships ainong docuinents are obtained using a clustering algorithm. A new approach providing the advantages of system maps and history list is introduced to prevent the user fiotn being lost in the IR hivperspace. The paper presents the underlying concepts and iinplementation details. HypIR is based on the object-oriented paradigm and its execution platforin is HyperCard.en_US
dc.titleHypIR: Hypertext Based Information Retrievalen_US
dc.typeTexten_US
dc.type.genreReporten_US


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