Search (35 results, page 1 of 2)

  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  1. Rekabsaz, N. et al.: Toward optimized multimodal concept indexing (2016) 0.10 
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    Date
    1. 2.2016 18:25:22
    Imprint
    Basel : Springer International Publishing
  2. Kozikowski, P. et al.: Support of part-whole relations in query answering (2016) 0.10 
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    Date
    1. 2.2016 18:25:22
    Imprint
    Basel : Springer International Publishing
  3. Ross, J.: ¬A new way of information retrieval : 3-D indexing and concept mapping (2000) 0.04 
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    Source
    Learned publishing. 13(2000) no.3, S.119-123
  4. Looking for information : a survey on research on information seeking, needs, and behavior (2012) 0.03 
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    Imprint
    Bingley, UK : Emerald Group Publishing Limited
  5. Lobin, H.; Witt, A.: Semantic and thematic navigation in electronic encyclopedias (1999) 0.03 
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    Abstract
    In the field of electronic publishing, encyclopedias represent a unique sort of text for investigating advanced methods of navigation. The user of an electronic excyclopedia normally expects special methods for accessing the entries in an encyclopedia database. Navigation through printed encyclopedias in the traditional sense focuses on the alphabetic order of the entries. In electronic encyclopedias, however, thematic structuring of lemmas and, of course, extensive (hyper-) linking mechanisms have been added. This paper will focus on showing developments, which go beyond these navigational strucutres. We will concentrate on the semantic space formed by lemmas to build a network of semantic distances and thematic trails through the encyclopedia
    Source
    Electronic publishing '99: redefining the information chain
  6. Celik, I.; Abel, F.; Siehndel, P.: Adaptive faceted search on Twitter (2011) 0.03 
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    Abstract
    In the last few years, Twitter has become a powerful tool for publishing and discussing information. Yet, content exploration in Twitter requires substantial efforts and users often have to scan information streams by hand. In this paper, we approach this problem by means of faceted search. We propose strategies for inferring facets and facet values on Twitter by enriching the semantics of individual Twitter messages and present di erent methods, including personalized and context-adaptive methods, for making faceted search on Twitter more effective.
  7. Boyack, K.W.; Wylie,B.N.; Davidson, G.S.: Information Visualization, Human-Computer Interaction, and Cognitive Psychology : Domain Visualizations (2002) 0.02 
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:17:40
  8. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.02 
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    Date
    30. 3.2001 13:32:22
  9. Marx, E. et al.: Exploring term networks for semantic search over RDF knowledge graphs (2016) 0.02 
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  10. Kopácsi, S. et al.: Development of a classification server to support metadata harmonization in a long term preservation system (2016) 0.02 
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    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  11. Sacco, G.M.: Dynamic taxonomies and guided searches (2006) 0.02 
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    Date
    22. 7.2006 17:56:22
  12. Looking for information : a survey on research on information seeking, needs, and behavior (2016) 0.02 
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    Imprint
    Bingley, UK : Emerald Group Publishing Limited
  13. Efthimiadis, E.N.: End-users' understanding of thesaural knowledge structures in interactive query expansion (1994) 0.01 
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    Date
    30. 3.2001 13:35:22
  14. Brambilla, M.; Ceri, S.: Designing exploratory search applications upon Web data sources (2012) 0.01 
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    Abstract
    Search is the preferred method to access information in today's computing systems. The Web, accessed through search engines, is universally recognized as the source for answering users' information needs. However, offering a link to a Web page does not cover all information needs. Even simple problems, such as "Which theater offers an at least three-stars action movie in London close to a good Italian restaurant," can only be solved by searching the Web multiple times, e.g., by extracting a list of the recent action movies filtered by ranking, then looking for movie theaters, then looking for Italian restaurants close to them. While search engines hint to useful information, the user's brain is the fundamental platform for information integration. An important trend is the availability of new, specialized data sources-the so-called "long tail" of the Web of data. Such carefully collected and curated data sources can be much more valuable than information currently available in Web pages; however, many sources remain hidden or insulated, in the lack of software solutions for bringing them to surface and making them usable in the search context. A new class of tailor-made systems, designed to satisfy the needs of users with specific aims, will support the publishing and integration of data sources for vertical domains; the user will be able to select sources based on individual or collective trust, and systems will be able to route queries to such sources and to provide easyto-use interfaces for combining them within search strategies, at the same time, rewarding the data source owners for each contribution to effective search. Efforts such as Google's Fusion Tables show that the technology for bringing hidden data sources to surface is feasible.
  15. Layfield, C.; Azzopardi, J,; Staff, C.: Experiments with document retrieval from small text collections using Latent Semantic Analysis or term similarity with query coordination and automatic relevance feedback (2017) 0.01 
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    Imprint
    Springer International Publishing
  16. Surfing versus Drilling for knowledge in science : When should you use your computer? When should you use your brain? (2018) 0.01 
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    Content
    Editorial: Surfing versus Drilling for Knowledge in Science: When should you use your computer? When should you use your brain? Blaise Pascal: Les deux infinis - The two infinities / Philippe Hünenberger and Oliver Renn - "Surfing" vs. "drilling" in the modern scientific world / Antonio Loprieno - Of millimeter paper and machine learning / Philippe Hünenberger - From one to many, from breadth to depth - industrializing research / Janne Soetbeer - "Deep drilling" requires "surfing" / Gerd Folkers and Laura Folkers - Surfing vs. drilling in science: A delicate balance / Alzbeta Kubincová - Digital trends in academia - for the sake of critical thinking or comfort? / Leif-Thore Deck - I diagnose, therefore I am a Doctor? Will drilling computer software replace human doctors in the future? / Yi Zheng - Surfing versus drilling in fundamental research / Wilfred van Gunsteren - Using brain vs. brute force in computational studies of biological systems / Arieh Warshel - Laboratory literature boards in the digital age / Jeffrey Bode - Research strategies in computational chemistry / Sereina Riniker - Surfing on the hype waves or drilling deep for knowledge? A perspective from industry / Nadine Schneider and Nikolaus Stiefl - The use and purpose of articles and scientists / Philip Mark Lund - Can you look at papers like artwork? / Oliver Renn - Dynamite fishing in the data swamp / Frank Perabo 34 Streetlights, augmented intelligence, and information discovery / Jeffrey Saffer and Vicki Burnett - "Yes Dave. Happy to do that for you." Why AI, machine learning, and blockchain will lead to deeper "drilling" / Michiel Kolman and Sjors de Heuvel - Trends in scientific document search ( Stefan Geißler - Power tools for text mining / Jane Reed 42 Publishing and patenting: Navigating the differences to ensure search success / Paul Peters
  17. Fieldhouse, M.; Hancock-Beaulieu, M.: ¬The design of a graphical user interface for a highly interactive information retrieval system (1996) 0.01 
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    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
  18. Chang, C.-H.; Hsu, C.-C.: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval (1998) 0.01 
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    Date
    1. 8.1996 22:08:06
  19. Faaborg, A.; Lagoze, C.: Semantic browsing (2003) 0.01 
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    Research and advanced technology for digital libraries : 7th European Conference, proceedings / ECDL 2003, Trondheim, Norway, August 17-22, 2003
  20. Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie (2005) 0.01 
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    Date
    11. 2.2011 18:22:58

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