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  • × subject_ss:"Information retrieval"
  1. Croft, W.B.; Metzler, D.; Strohman, T.: Search engines : information retrieval in practice (2010) 0.14
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    Abstract
    For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine
    LCSH
    Search engines / Programming
    Subject
    Search engines / Programming
  2. Next generation search engines : advanced models for information retrieval (2012) 0.03
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    Abstract
    The main goal of this book is to transfer new research results from the fields of advanced computer sciences and information science to the design of new search engines. The readers will have a better idea of the new trends in applied research. The achievement of relevant, organized, sorted, and workable answers- to name but a few - from a search is becoming a daily need for enterprises and organizations, and, to a greater extent, for anyone. It does not consist of getting access to structural information as in standard databases; nor does it consist of searching information strictly by way of a combination of key words. It goes far beyond that. Whatever its modality, the information sought should be identified by the topics it contains, that is to say by its textual, audio, video or graphical contents. This is not a new issue. However, recent technological advances have completely changed the techniques being used. New Web technologies, the emergence of Intranet systems and the abundance of information on the Internet have created the need for efficient search and information access tools.
    Recent technological progress in computer science, Web technologies, and constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Web search has significantly evolved in recent years. In the beginning, web search engines such as Google and Yahoo! were only providing search service over text documents. Aggregated search was one of the first steps to go beyond text search, and was the beginning of a new era for information seeking and retrieval. These days, new web search engines support aggregated search over a number of vertices, and blend different types of documents (e.g., images, videos) in their search results. New search engines employ advanced techniques involving machine learning, computational linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, distributed systems, social networks, statistical analysis, semantic analysis, and technologies over query sessions. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. It is conjectured that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.
    With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.
    Content
    Enthält die Beiträge: Das, A., A. Jain: Indexing the World Wide Web: the journey so far. Ke, W.: Decentralized search and the clustering paradox in large scale information networks. Roux, M.: Metadata for search engines: what can be learned from e-Sciences? Fluhr, C.: Crosslingual access to photo databases. Djioua, B., J.-P. Desclés u. M. Alrahabi: Searching and mining with semantic categories. Ghorbel, H., A. Bahri u. R. Bouaziz: Fuzzy ontologies building platform for Semantic Web: FOB platform. Lassalle, E., E. Lassalle: Semantic models in information retrieval. Berry, M.W., R. Esau u. B. Kiefer: The use of text mining techniques in electronic discovery for legal matters. Sleem-Amer, M., I. Bigorgne u. S. Brizard u.a.: Intelligent semantic search engines for opinion and sentiment mining. Hoeber, O.: Human-centred Web search.
    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.
    Footnote
    Vgl.: http://www.igi-global.com/book/next-generation-search-engines/59723.
    LCSH
    Search engines
    Subject
    Search engines
  3. Social information retrieval systems : emerging technologies and applications for searching the Web effectively (2008) 0.02
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    LCSH
    Web search engines
    Subject
    Web search engines
  4. Franke, F; Klein, A.; Schüller-Zwierlein, A.: Schlüsselkompetenzen : Literatur recherchieren in Bibliotheken und Internet (2010) 0.02
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    LCSH
    Web search engines
    Subject
    Web search engines
  5. Harpring, P.: Introduction to controlled vocabularies : terminology for art, architecture, and other cultural works (2010) 0.01
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    Abstract
    This is a practical tool and comprehensive introduction to the use of controlled vocabularies. This authoritative and detailed volume presents readers with a 'how-to' guide to building controlled vocabulary tools, cataloguing and indexing cultural materials with terms and names from controlled vocabularies, and how to use vocabularies in search engines and databases to enhance discovery and retrieval online. "Introduction to Controlled Vocabularies" also features in-depth discussions on a number of topics, including: What are controlled vocabularies and why are they useful? Which vocabularies exist for cataloguing art and cultural objects? and how should they be used for indexing and retrieving? This book provides organizations and individuals with a practical tool for creating and implementing vocabularies as reference tools, sources of documentation, and powerful enhancements for online searching.
  6. Lankes, R.D.: New concepts in digital reference (2009) 0.01
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    Abstract
    Let us start with a simple scenario: a man asks a woman "how high is Mount Everest?" The woman replies "29,029 feet." Nothing could be simpler. Now let us suppose that rather than standing in a room, or sitting on a bus, the man is at his desk and the woman is 300 miles away with the conversation taking place using e-mail. Still simple? Certainly--it happens every day. So why all the bother about digital (virtual, electronic, chat, etc.) reference? If the man is a pilot flying over Mount Everest, the answer matters. If you are a lawyer going to court, the identity of the woman is very important. Also, if you ever want to find the answer again, how that transaction took place matters a lot. Digital reference is a deceptively simple concept on its face: "the incorporation of human expertise into the information system." This lecture seeks to explore the question of how human expertise is incorporated into a variety of information systems, from libraries, to digital libraries, to information retrieval engines, to knowledge bases. What we learn through this endeavor, begun primarily in the library context, is that the models, methods, standards, and experiments in digital reference have wide applicability. We also catch a glimpse of an unfolding future in which ubiquitous computing makes the identification, interaction, and capture of expertise increasingly important. It is a future that is much more complex than we had anticipated. It is a future in which documents and artifacts are less important than the contexts of their creation and use.
  7. ¬The thesaurus: review, renaissance and revision (2004) 0.01
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    Content
    Enthält u.a. folgende Aussage von J. Aitchison u. S. Dextre Clarke: "We face a paradox. Ostensibly, the need and the opportunity to apply thesauri to information retrieval are greater than ever before. On the other hand, users resist most efforts to persuade them to apply one. The drive for interoperability of systems means we must design our vocabularies for easy integration into downstream applications such as content management systems, indexing/metatagging interfaces, search engines, and portals. Summarizing the search for vocabularies that work more intuitively, we see that there are trends working in opposite directions. In the hugely popular taxonomies an the one hand, relationships between terms are more loosely defined than in thesauri. In the ontologies that will support computer-to-computer communications in AI applications such as the Semantic Web, we see the need for much more precisely defined term relationships."
  8. Ellis, D.: Progress and problems in information retrieval (1996) 0.01
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    Date
    26. 7.2002 20:22:46
  9. Lancaster, F.W.: Vocabulary control for information retrieval (1986) 0.01
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    Date
    22. 4.2007 10:07:51
  10. Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014) 0.00
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    Date
    23. 7.2017 13:49:22
  11. 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) 0.00
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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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  • m 11
  • s 3

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