Search (74 results, page 1 of 4)

  • × language_ss:"e"
  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  • × year_i:[2000 TO 2010}
  1. Boyack, K.W.; Wylie,B.N.; Davidson, G.S.: Information Visualization, Human-Computer Interaction, and Cognitive Psychology : Domain Visualizations (2002) 0.05 
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:17:40
    Pages
    S.145-159
  2. Sacco, G.M.: Dynamic taxonomies and guided searches (2006) 0.03 
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    Date
    22. 7.2006 17:56:22
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.6, S.792-796
  3. Klas, C.-P.; Fuhr, N.; Schaefer, A.: Evaluating strategic support for information access in the DAFFODIL system (2004) 0.02 
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    Date
    16.11.2008 16:22:48
    Pages
    S.476-487
  4. Song, D.; Bruza, P.D.: Towards context sensitive information inference (2003) 0.02 
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    Date
    22. 3.2003 19:35:46
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.4, S.321-334
  5. Shiri, A.A.; Revie, C.: Query expansion behavior within a thesaurus-enhanced search environment : a user-centered evaluation (2006) 0.02 
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    Date
    22. 7.2006 16:32:43
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.462-478
  6. Bradford, R.B.: Relationship discovery in large text collections using Latent Semantic Indexing (2006) 0.01 
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    Source
    Proceedings of the Fourth Workshop on Link Analysis, Counterterrorism, and Security, SIAM Data Mining Conference, Bethesda, MD, 20-22 April, 2006. [http://www.siam.org/meetings/sdm06/workproceed/Link%20Analysis/15.pdf]
  7. Ross, J.: ¬A new way of information retrieval : 3-D indexing and concept mapping (2000) 0.00 
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    Source
    Learned publishing. 13(2000) no.3, S.119-123
  8. Mandala, R.; Tokunaga, T.; Tanaka, H.: Query expansion using heterogeneous thesauri (2000) 0.00 
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    Source
    Information processing and management. 36(2000) no.3, S.361-378
  9. Shiri, A.A.; Revie, C.; Chowdhury, G.: Thesaurus-enhanced search interfaces (2002) 0.00 
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    Source
    Journal of information science. 28(2002) no.2, S.111-122
  10. Shiri, A.A.; Revie, C.: ¬The effects of topic complexity and familiarity on cognitive and physical moves in a thesaurus-enhanced search environment (2003) 0.00 
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    Source
    Journal of information science. 29(2003) no.6, S.517-
  11. Stojanovic, N.: On the query refinement in the ontology-based searching for information (2005) 0.00 
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    Source
    Information systems. 30(2005) no.7, S.543-563
  12. Khan, M.S.; Khor, S.: Enhanced Web document retrieval using automatic query expansion (2004) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 55(2004) no.1, S.29-40
  13. Wang, Y.-H.; Jhuo, P.-S.: ¬A semantic faceted search with rule-based inference (2009) 0.00 
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    Pages
    S.1002-1008
  14. Kulyukin, V.A.; Settle, A.: Ranked retrieval with semantic networks and vector spaces (2001) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.14, S.1224-1233
  15. Sacco, G.M.: Accessing multimedia infobases through dynamic taxonomies (2004) 0.00 
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    Pages
    S.97-102
  16. Niemi, T.; Jämsen, J.: ¬A query language for discovering semantic associations, part II : sample queries and query evaluation (2007) 0.00 
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    Abstract
    In our query language introduced in Part I (Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1559-1568) the user can formulate queries to find out (possibly complex) semantic relationships among entities. In this article we demonstrate the usage of our query language and discuss the new applications that it supports. We categorize several query types and give sample queries. The query types are categorized based on whether the entities specified in a query are known or unknown to the user in advance, and whether text information in documents is utilized. Natural language is used to represent the results of queries in order to facilitate correct interpretation by the user. We discuss briefly the issues related to the prototype implementation of the query language and show that an independent operation like Rho (Sheth et al., 2005; Anyanwu & Sheth, 2002, 2003), which presupposes entities of interest to be known in advance, is exceedingly inefficient in emulating the behavior of our query language. The discussion also covers potential problems, and challenges for future work.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1686-1700
  17. Niemi, T.; Jämsen , J.: ¬A query language for discovering semantic associations, part I : approach and formal definition of query primitives (2007) 0.00 
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    Content
    Part II: Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1686-1700.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1559-1568
  18. Calegari, S.; Sanchez, E.: Object-fuzzy concept network : an enrichment of ontologies in semantic information retrieval (2008) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.13, S.2171-2185
  19. Bayer, O.; Höhfeld, S.; Josbächer, F.; Kimm, N.; Kradepohl, I.; Kwiatkowski, M.; Puschmann, C.; Sabbagh, M.; Werner, N.; Vollmer, U.: Evaluation of an ontology-based knowledge-management-system : a case study of Convera RetrievalWare 8.0 (2005) 0.00 
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    Source
    Information services and use. 25(2005), S.181-195
  20. Hetzler, B.: Visual analysis and exploration of relationships (2002) 0.00 
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    Pages
    S.199-217

Authors

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  • a 70
  • el 5
  • m 4
  • s 1
  • More… Less…

Themes

Subjects

Classifications