Search (11509 results, page 1 of 576)

  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.10 
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  2. Fallis, D.: Social epistemology and information science (2006) 0.10 
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    Date
    13. 7.2008 19:22:28
    Source
    Annual review of information science and technology. 40(2006), S.xxx-xxx
  3. Hemminger, B.M.: Introduction to the special issue on bioinformatics (2005) 0.10 
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    Date
    22. 7.2006 14:19:22
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.5, S.437-439
  4. Buzydlowski, J.W.; White, H.D.; Lin, X.: Term Co-occurrence Analysis as an Interface for Digital Libraries (2002) 0.10 
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:16:22
    Series
    Lecture notes in computer science; 2539
  5. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.10 
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    Abstract
    On a scientific concept hierarchy, a parent concept may have a few attributes, each of which has multiple values being a group of child concepts. We call these attributes facets: classification has a few facets such as application (e.g., face recognition), model (e.g., svm, knn), and metric (e.g., precision). In this work, we aim at building faceted concept hierarchies from scientific literature. Hierarchy construction methods heavily rely on hypernym detection, however, the faceted relations are parent-to-child links but the hypernym relation is a multi-hop, i.e., ancestor-to-descendent link with a specific facet "type-of". We use information extraction techniques to find synonyms, sibling concepts, and ancestor-descendent relations from a data science corpus. And we propose a hierarchy growth algorithm to infer the parent-child links from the three types of relationships. It resolves conflicts by maintaining the acyclic structure of a hierarchy.
    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  6. Warner, A.J.: Quantitative and qualitative assessments of the impact of linguistic theory on information science (1991) 0.09 
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    Date
    6. 1.1999 10:22:45
    Source
    Journal of the American Society for Information Science. 42(1991) no.1, S.64-71
  7. Kantor, P.B.: Mathematical models in information science (2002) 0.09 
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    Source
    Bulletin of the American Society for Information Science. 28(2002) no.6, S.22-24
  8. Enser, P.G.B.: Visual image retrieval (2008) 0.09 
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    Date
    22. 1.2012 13:01:26
    Source
    Annual review of information science and technology. 42(2008), S.3-42
  9. Morris, S.A.: Mapping research specialties (2008) 0.09 
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    Date
    13. 7.2008 9:30:22
    Source
    Annual review of information science and technology. 42(2008), S.xxx-xxx
  10. Artandi, S.: Document retrieval and the concept of sets (1971) 0.09 
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    Source
    Journal of the American Society for Information Science. 22(1971) no.4, S.289-290
  11. Westbrook, L.: User needs (1997) 0.09 
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    Source
    Encyclopedia of library and information science. Vol.59, [=Suppl.22]
  12. Nicolaisen, J.: Citation analysis (2007) 0.09 
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    Date
    13. 7.2008 19:53:22
    Source
    Annual review of information science and technology. 41(2007), S.xxx-xxx
  13. Repo, A.J.: Economics and information (1987) 0.09 
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    Annual review of information science and technology. 22(1987), S.3-36
  14. Kelly, J.A.: Downloading information using bibliographic management software (1997) 0.09 
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    Source
    Encyclopedia of library and information science. Vol.59, [=Suppl.22]
  15. Barker, P.: Electronic libraries of the future (1997) 0.09 
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    Encyclopedia of library and information science. Vol.59, [=Suppl.22]
  16. Sillince, J.A.A.: Intelligent argumentation systems : requirements, models, research agenda, and applications (1997) 0.09 
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    Encyclopedia of library and information science. Vol.59, [=Suppl.22]
  17. Dominich, S.: ¬The interaction-based information retrieval paradigm (1997) 0.09 
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    Encyclopedia of library and information science. Vol.59, [=Suppl.22]
  18. Notess, G.R.: ¬The internet (1997) 0.09 
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    Annual review of information science and technology. 22(1987), S.109-145
  20. Smith, L.C.: Artificial intelligence and information retrieval (1987) 0.09 
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    Annual review of information science and technology. 22(1987), S.41-77

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