Search (43 results, page 1 of 3)

  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  1. Hannech, A.: Système de recherche d'information étendue basé sur une projection multi-espaces (2018) 0.01
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    Abstract
    However, this assumption does not hold in all cases, the needs of the user evolve over time and can move away from his previous interests stored in his profile. In other cases, the user's profile may be misused to extract or infer new information needs. This problem is much more accentuated with ambiguous queries. When multiple POIs linked to a search query are identified in the user's profile, the system is unable to select the relevant data from that profile to respond to that request. This has a direct impact on the quality of the results provided to this user. In order to overcome some of these limitations, in this research thesis, we have been interested in the development of techniques aimed mainly at improving the relevance of the results of current SRIs and facilitating the exploration of major collections of documents. To do this, we propose a solution based on a new concept and model of indexing and information retrieval called multi-spaces projection. This proposal is based on the exploitation of different categories of semantic and social information that enrich the universe of document representation and search queries in several dimensions of interpretations. The originality of this representation is to be able to distinguish between the different interpretations used for the description and the search for documents. This gives a better visibility on the results returned and helps to provide a greater flexibility of search and exploration, giving the user the ability to navigate one or more views of data that interest him the most. In addition, the proposed multidimensional representation universes for document description and search query interpretation help to improve the relevance of the user's results by providing a diversity of research / exploration that helps meet his diverse needs and those of other different users. This study exploits different aspects that are related to the personalized search and aims to solve the problems caused by the evolution of the information needs of the user. Thus, when the profile of this user is used by our system, a technique is proposed and used to identify the interests most representative of his current needs in his profile. This technique is based on the combination of three influential factors, including the contextual, frequency and temporal factor of the data. The ability of users to interact, exchange ideas and opinions, and form social networks on the Web, has led systems to focus on the types of interactions these users have at the level of interaction between them as well as their social roles in the system. This social information is discussed and integrated into this research work. The impact and how they are integrated into the IR process are studied to improve the relevance of the results.
  2. Gillitzer, B.: Yewno (2017) 0.01
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    Abstract
    "Die Bayerische Staatsbibliothek testet den semantischen "Discovery Service" Yewno als zusätzliche thematische Suchmaschine für digitale Volltexte. Der Service ist unter folgendem Link erreichbar: https://www.bsb-muenchen.de/recherche-und-service/suchen-und-finden/yewno/. Das Identifizieren von Themen, um die es in einem Text geht, basiert bei Yewno alleine auf Methoden der künstlichen Intelligenz und des maschinellen Lernens. Dabei werden sie nicht - wie bei klassischen Katalogsystemen - einem Text als Ganzem zugeordnet, sondern der jeweiligen Textstelle. Die Eingabe eines Suchwortes bzw. Themas, bei Yewno "Konzept" genannt, führt umgehend zu einer grafischen Darstellung eines semantischen Netzwerks relevanter Konzepte und ihrer inhaltlichen Zusammenhänge. So ist ein Navigieren über thematische Beziehungen bis hin zu den Fundstellen im Text möglich, die dann in sogenannten Snippets angezeigt werden. In der Test-Anwendung der Bayerischen Staatsbibliothek durchsucht Yewno aktuell 40 Millionen englischsprachige Dokumente aus Publikationen namhafter Wissenschaftsverlage wie Cambridge University Press, Oxford University Press, Wiley, Sage und Springer, sowie Dokumente, die im Open Access verfügbar sind. Nach der dreimonatigen Testphase werden zunächst die Rückmeldungen der Nutzer ausgewertet. Ob und wann dann der Schritt von der klassischen Suchmaschine zum semantischen "Discovery Service" kommt und welche Bedeutung Anwendungen wie Yewno in diesem Zusammenhang einnehmen werden, ist heute noch nicht abzusehen. Die Software Yewno wurde vom gleichnamigen Startup in Zusammenarbeit mit der Stanford University entwickelt, mit der auch die Bayerische Staatsbibliothek eng kooperiert. [Inetbib-Posting vom 22.02.2017].
    Date
    22. 2.2017 10:16:49
  3. Shiri, A.A.; Revie, C.; Chowdhury, G.: Thesaurus-enhanced search interfaces (2002) 0.01
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  4. Michel, D.: Taxonomy of Subject Relationships (1997) 0.01
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  5. Jarvelin, K.: ¬A deductive data model for thesaurus navigation and query expansion (1996) 0.01
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  6. Boyack, K.W.; Wylie,B.N.; Davidson, G.S.: Information Visualization, Human-Computer Interaction, and Cognitive Psychology : Domain Visualizations (2002) 0.01
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:17:40
  7. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.01
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    Date
    30. 3.2001 13:32:22
  8. Shapiro, C.D.; Yan, P.-F.: Generous tools : thesauri in digital libraries (1996) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  9. Chen, H.; Martinez, J.; Kirchhoff, A.; Ng, T.D.; Schatz, B.R.: Alleviating search uncertainty through concept associations : automatic indexing, co-occurence analysis, and parallel computing (1998) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  10. Shiri, A.A.; Revie, C.; Chowdhury, G.: Thesaurus-assisted search term selection and query expansion : a review of user-centred studies (2002) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  11. Shiri, A.A.; Revie, C.: End-user interaction with thesauri : an evaluation of cognitive overlap in search term selection (2004) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  12. Spiteri, L.F.: ¬The essential elements of faceted thesauri (1999) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  13. Rekabsaz, N. et al.: Toward optimized multimodal concept indexing (2016) 0.00
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    Date
    1. 2.2016 18:25:22
  14. Kozikowski, P. et al.: Support of part-whole relations in query answering (2016) 0.00
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    Date
    1. 2.2016 18:25:22
  15. Marx, E. et al.: Exploring term networks for semantic search over RDF knowledge graphs (2016) 0.00
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  16. Kopácsi, S. et al.: Development of a classification server to support metadata harmonization in a long term preservation system (2016) 0.00
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  17. Sacco, G.M.: Dynamic taxonomies and guided searches (2006) 0.00
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    Date
    22. 7.2006 17:56:22
  18. Schmitz-Esser, W.: EXPO-INFO 2000 : Visuelles Besucherinformationssystem für Weltausstellungen (2000) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  19. Sihvonen, A.; Vakkari, P.: Subject knowledge improves interactive query expansion assisted by a thesaurus (2004) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  20. Shiri, A.: Topic familiarity and its effects on term selection and browsing in a thesaurus-enhanced search environment (2005) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus

Years

Languages

  • e 35
  • d 7
  • f 1
  • More… Less…

Types

  • a 35
  • el 6
  • m 2
  • r 2
  • x 2
  • More… Less…