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Ellis, D.: Progress and problems in information retrieval (1996)
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- Date
- 26. 7.2002 20:22:46
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Lancaster, F.W.: Vocabulary control for information retrieval (1986)
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- Date
- 22. 4.2007 10:07:51
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Arafat, S.; Ashoori, E.: Search foundations : toward a science of technology-mediated experience (2018)
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- Abstract
- This book contributes to discussions within Information Retrieval and Science (IR&S) by improving our conceptual understanding of the relationship between humans and technology. A call to redirect the intellectual focus of information retrieval and science (IR&S) toward the phenomenon of technology-mediated experience. In this book, Sachi Arafat and Elham Ashoori issue a call to reorient the intellectual focus of information retrieval and science (IR&S) away from search and related processes toward the more general phenomenon of technology-mediated experience. Technology-mediated experience accounts for an increasing proportion of human lived experience; the phenomenon of mediation gets at the heart of the human-machine relationship. Framing IR&S more broadly in this way generalizes its problems and perspectives, dovetailing them with those shared across disciplines dealing with socio-technical phenomena. This reorientation of IR&S requires imagining it as a new kind of science: a science of technology-mediated experience (STME). Arafat and Ashoori not only offer detailed analysis of the foundational concepts underlying IR&S and other technical disciplines but also boldly call for a radical, systematic appropriation of the sciences and humanities to create a better understanding of the human-technology relationship. Arafat and Ashoori discuss the notion of progress in IR&S and consider ideas of progress from the history and philosophy of science. They argue that progress in IR&S requires explicit linking between technical and nontechnical aspects of discourse. They develop a network of basic questions and present a discursive framework for addressing these questions. With this book, Arafat and Ashoori provide both a manifesto for the reimagining of their field and the foundations on which a reframed IR&S would rest.
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Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014)
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- Date
- 23. 7.2017 13:49:22
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Colomb, R.M.: Information spaces : the architecture of cyberspace (2002)
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- LCSH
- Information technology
- Subject
- Information technology
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Anderson, J.D.; Perez-Carballo, J.: Information retrieval design : principles and options for information description, organization, display, and access in information retrieval databases, digital libraries, catalogs, and indexes (2005)
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- Content
- Inhalt: Chapters 2 to 5: Scopes, Domains, and Display Media (pp. 47-102) Chapters 6 to 8: Documents, Analysis, and Indexing (pp. 103-176) Chapters 9 to 10: Exhaustivity and Specificity (pp. 177-196) Chapters 11 to 13: Displayed/Nondisplayed Indexes, Syntax, and Vocabulary Management (pp. 197-364) Chapters 14 to 16: Surrogation, Locators, and Surrogate Displays (pp. 365-390) Chapters 17 and 18: Arrangement and Size of Displayed Indexes (pp. 391-446) Chapters 19 to 21: Search Interface, Record Format, and Full-Text Display (pp. 447-536) Chapter 22: Implementation and Evaluation (pp. 537-541)
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¬The thesaurus: review, renaissance and revision (2004)
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- Footnote
- The didactic parts of the book are a collection of exercises, readings and resources constituting a "Teach yourself " chapter written by Alan Thomas, ending with the warning that "New challenges include how to devise multi-functional and usersensitive vocabularies, corporate taxonomies and ontologies, and how to apply the transformative technology to them." This is absolutely right, and there is a need for some good writing that would tackle these issues. Another chapter, by James Shearer, skilfully manages to compress a practical exercise in building a thesaurus into some twenty A5 size pages. The third chapter in this set, by Marianne Lykke Nielsen, contains extensive reviews of key issues and selected readings under eight headings from the concept of the thesaurus, through the various construction stages and ending with automatic construction techniques. . . . This is a useful and approachable book. It is a pity that the index is such a poor advertisement for vocabulary control and usefulness."
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Introducing information management : an information research reader (2005)
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- Abstract
- Information management (IM) has exploded in importance in recent years and yet until now there has been no Reader to introduce students to the subject. This comprehensive international collection introduces you to the core topics and methodologies used in teaching IM, namely: information behaviour; environmental scanning and decision making; knowledge management; and information strategy. These peer-reviewed papers represent an elite selection from the respected "Information Research" journal, each carefully updated to take into account recent developments. This book is an essential introduction to IM for all students on courses in library and information science, IM, information systems, business information technology, business management, computer science and information technology; as well as for practitioners working in a wide range of organizations providing information services.
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Next generation search engines : advanced models for information retrieval (2012)
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- Content
- Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.
