Search (1131 results, page 1 of 57)

  • × theme_ss:"Suchmaschinen"
  1. Rogers, R.: Zur Frage der Vergoogelung : Hin zu einer unkritisierbaren Maschine? (2009) 0.03
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    Pages
    S.193-206
    Source
    Deep Search: Politik des Suchens jenseits von Google; Deep Search-Konferenz, Wien, 2008.11.08; eine Veröffentlichung des World-Information Institute. Hrsg.: K. Becker u. F. Stalder
    Type
    a
  2. Breyer, K.: Kommerz statt Information (2002) 0.03
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    Date
    9. 5.2002 21:21:22
    Source
    PC professionell. 2002, H.6, S.122-129
    Type
    a
  3. Williamson, N.J.: Knowledge structures and the Internet : progress and prospects (2006) 0.03
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    Abstract
    This paper analyses the development of the knowledge structures provided as aids to users in searching the Internet. Specific focus is given to web directories, thesauri and gateways and portals. The paper assumes that users need to be able to access information in two ways - to locate information on a subject directly in response to a search term and to be able to browse so as to familiarize themselves with a domain or to refine a request. Emphasis is to the browsing aspect. Background and development are addressed. Structures are analyzed, problems are identified, and future directions discussed.
    Date
    27.12.2008 15:56:22
    Pages
    S.213-224
    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
    Type
    a
  4. Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016) 0.03
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    Abstract
    Query suggestion is generally an integrated part of web search engines. In this study, we first redefine and reduce the query suggestion problem as "comparison of queries". We then propose a general modular framework for query suggestion algorithm development. We also develop new query suggestion algorithms which are used in our proposed framework, exploiting query, session and user features. As a case study, we use query logs of a real educational search engine that targets K-12 students in Turkey. We also exploit educational features (course, grade) in our query suggestion algorithms. We test our framework and algorithms over a set of queries by an experiment and demonstrate a 66-90% statistically significant increase in relevance of query suggestions compared to a baseline method.
    Source
    Information processing and management. 52(2016) no.5, S.733-752
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  5. Hüskes, R.; Kleber, D.: ¬Den Server im Griff (1999) 0.03
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    Date
    22. 8.1999 21:21:10
    Source
    Internet Professionell. 1999, H.9, S.38-43
    Type
    a
  6. Boldi, P.; Santini, M.; Vigna, S.: PageRank as a function of the damping factor (2005) 0.03
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    Abstract
    PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor alpha that spreads uniformly part of the rank. The choice of alpha is eminently empirical, and in most cases the original suggestion alpha=0.85 by Brin and Page is still used. Recently, however, the behaviour of PageRank with respect to changes in alpha was discovered to be useful in link-spam detection. Moreover, an analytical justification of the value chosen for alpha is still missing. In this paper, we give the first mathematical analysis of PageRank when alpha changes. In particular, we show that, contrarily to popular belief, for real-world graphs values of alpha close to 1 do not give a more meaningful ranking. Then, we give closed-form formulae for PageRank derivatives of any order, and an extension of the Power Method that approximates them with convergence O(t**k*alpha**t) for the k-th derivative. Finally, we show a tight connection between iterated computation and analytical behaviour by proving that the k-th iteration of the Power Method gives exactly the PageRank value obtained using a Maclaurin polynomial of degree k. The latter result paves the way towards the application of analytical methods to the study of PageRank.
    Date
    16. 1.2016 10:22:28
    Type
    a
  7. Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001) 0.03
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    Abstract
    Die deutschen Suchmaschinen, Abacho, Acoon, Fireball und Lycos sowie die Web-Kataloge Web.de und Yahoo! werden einem Qualitätstest nach relativem Recall, Precision und Availability unterzogen. Die Methoden der Retrievaltests werden vorgestellt. Im Durchschnitt werden bei einem Cut-Off-Wert von 25 ein Recall von rund 22%, eine Precision von knapp 19% und eine Verfügbarkeit von 24% erreicht
    Footnote
    Vgl. auch den Bericht in: nfd 53(2002) H.2, S.71
    Source
    nfd Information - Wissenschaft und Praxis. 52(2001) H.7, S.381-392
    Type
    a
  8. 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.
    Pages
    560 S
    Type
    s
  9. Milne, R.: ¬The Google Library Project at Oxford (2005) 0.03
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    Pages
    S.23-28
    Source
    Libraries and Google. Eds.: Miller, W. u. R.M. Pellen
    Type
    a
  10. Lewandowski, D.: Suchmaschinen (2013) 0.03
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    Pages
    S.495-508
    Source
    Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried
    Type
    a
  11. MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.03
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    Abstract
    Describes the development of EEVL and outlines the services offered. The potential market for EEVL is discussed, and a case study of promotional activities is presented
    Date
    22. 6.2002 19:40:22
    Source
    Online information review. 24(2000) no.1, S.59-63
    Type
    a
  12. Niedermair, K.: Gefährden Suchmaschinen und Discovery-Systeme die informationelle Autonomie? (2014) 0.02
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    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 67(2014) H.1, S.109-125
    Type
    a
  13. Mayer, K.: Zur Soziometrik der Suchmaschinen : ein historischer Überblick der Methodik (2009) 0.02
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    Pages
    S.64-83
    Source
    Deep Search: Politik des Suchens jenseits von Google; Deep Search-Konferenz, Wien, 2008.11.08; eine Veröffentlichung des World-Information Institute. Hrsg.: K. Becker u. F. Stalder
    Type
    a
  14. Donlan, R.; Cooke, R.: Running with the devil : accessing library-licensed full text holdings through Google Scholar (2005) 0.02
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    Abstract
    Linking full-text proprietary databases with Google Scholar revealed three significant limitations in terms of precision (no subject heading search), transparency (no listing of information sources), and visibility (Google Scholar details are hard to find). Google Scholar is not a "one stop shopping" search engine that retrieves all relevant data from a library's licensed content. Despite these shortcomings, Google Scholar is a worthwhile search option for students, which may steer them away from Web resources, and towards the library's catalog and databases.
    Pages
    S.149-157
    Source
    Libraries and Google. Eds.: Miller, W. u. R.M. Pellen
    Type
    a
  15. Hilberer, T.: Über die Zugänglichkeit der Informationen im Internet : Die Rolle der Bibliotheken (1999) 0.02
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    Footnote
    Bezugnahme auf den Artikel: Lawrence, S. u. C.L. Giles: Accessibility of information on the web. In: Nature. No.400 vom 8.7.1999, S.107-109.
    Source
    Bibliotheksdienst. 33(1999) H.9, S.1526-1545
    Type
    a
  16. Force, R.: Image: Google's most important product (2005) 0.02
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    Abstract
    In a few short years, Google has become one of the world's best known brands. Its strategies to preserve the brand image pose a challenge for information professionals who attempt to present Google's capabilities in a factual manner.
    Pages
    S.205-209
    Source
    Libraries and Google. Eds.: Miller, W. u. R.M. Pellen
    Type
    a
  17. Cathcart, R.; Roberts, A.: Evaluating Google Scholar as a tool for information literacy (2005) 0.02
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    Abstract
    There are a growing number of articles on the juncture of Google Scholar and libraries; this article seeks to address the ability of this resource to meet the information needs of students and researchers using the ACRL Information Literacy Standards. Each standard is applied to Google Scholar in this examination, and recommendations for how librarians might respond are offered.
    Pages
    S.167-176
    Source
    Libraries and Google. Eds.: Miller, W. u. R.M. Pellen
    Type
    a
  18. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.02
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  19. Anderson, R.: ¬The (uncertain) future of libraries in a Google world : sounding an alarm (2005) 0.02
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    Abstract
    Libraries are in competition with other entities that provide information access to students, scholars and the general public. This constitutes a radical change in the information environment. The library profession's failure to take seriously the change that has taken place in the information environment, and to respond with fundamental changes of its own, may well spell disaster for the library as we know it.
    Pages
    S.29-36
    Source
    Libraries and Google. Eds.: Miller, W. u. R.M. Pellen
    Type
    a
  20. Gärtner, R.: Findenix.com (1999) 0.02
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    Source
    Internet Professionell. 1999, H.9, S.18
    Type
    a

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