000 04231nam a22004815i 4500
001 978-3-540-75148-9
003 DE-He213
005 20161121230718.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540751489
_9978-3-540-75148-9
024 7 _a10.1007/978-3-540-75148-9
_2doi
050 4 _aQA75.5-76.95
072 7 _aUNH
_2bicssc
072 7 _aUND
_2bicssc
072 7 _aCOM030000
_2bisacsh
082 0 4 _a025.04
_223
245 1 0 _aVisualization for Information Retrieval
_h[electronic resource] /
_cedited by Jin Zhang.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _aXVIII, 294 p. 72 illus., 1 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aThe Information Retrieval Series,
_x1387-5264 ;
_v23
505 0 _aInformation Retrieval and Visualization -- Information Retrieval Preliminaries -- Visualization Models for Multiple Reference Points -- Euclidean Spatial Characteristic Based Visualization Models -- Kohonen Self-Organizing Map–An Artificial Neural Network -- Pathfinder Associative Network -- Multidimensional Scaling -- Internet Information Visualization -- Ambiguity in Information Visualization -- The Implication of Metaphors in Information Visualization -- Benchmarks and Evaluation Criteria for Information Retrieval Visualization -- Afterthoughts.
520 _aThe amount of digitized information available on the Internet, in digital libraries, and other forms of information systems grows at an exponential rate, while becoming more complex and more dynamic. As a consequence, information organization, information retrieval and the presentation of retrieval results have become more and more difficult. Information visualization offers a unique method to reveal hidden patterns and contextual information in a visual presentation and allows users to seek information in an intuitive way. Jin Zhang provides a systematic explanation of the latest advancements in information retrieval visualization from both theoretical and practical perspectives. He reviews the main approaches and techniques available in the field, explains theoretical relationships between information retrieval and information visualization, and presents major information retrieval visualization algorithms and models. He then takes a detailed look at the theory and applications of information retrieval visualization for Internet traffic analysis, and Internet information searching and browsing. The author also addresses challenges such as ambiguity, metaphorical applications, and system evaluation in information retrieval visualization environments. Finally, he compares these information retrieval visualization models from the perspectives of visual spaces, semantic frameworks, projection algorithms, ambiguity, and information retrieval, and discusses important issues of information retrieval visualization and research directions for future exploration. Readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. They will be introduced to existing problems for researchers and professionals, along with technical and theoretical findings and advances made by leading researchers. The book also provides practical details for the implementation of an information retrieval visualization system.
650 0 _aComputer science.
650 0 _aInformation storage and retrieval.
650 0 _aUser interfaces (Computer systems).
650 1 4 _aComputer Science.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aInformation Systems Applications (incl. Internet).
700 1 _aZhang, Jin.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540751472
830 0 _aThe Information Retrieval Series,
_x1387-5264 ;
_v23
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-75148-9
912 _aZDB-2-SCS
950 _aComputer Science (Springer-11645)
999 _c502862
_d502862