Search (4823 results, page 1 of 242)

  1. Byrne, C.C.; McCracken, S.A.: ¬An adaptive thesaurus employing semantic distance, relational inheritance and nominal compound interpretation for linguistic support of information retrieval (1999) 0.21 
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    Date
    15. 3.2000 10:22:37
  2. Kuhlthau, C.C.: Seeking meaning : a process approach to library and information services (2003) 0.21 
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    Date
    25.11.2005 18:58:22
  3. Ackermann, E.: Piaget's constructivism, Papert's constructionism : what's the difference? (2001) 0.13 
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    Content
    Vgl.: https://www.semanticscholar.org/paper/Piaget-%E2%80%99-s-Constructivism-%2C-Papert-%E2%80%99-s-%3A-What-%E2%80%99-s-Ackermann/89cbcc1e740a4591443ff4765a6ae8df0fdf5554. Darunter weitere Hinweise auf verwandte Beiträge. Auch unter: Learning Group Publication 5(2001) no.3, S.438.
  4. Chua, A.Y.K.; Yang, C.C.: ¬The shift towards multi-disciplinarity in information science (2008) 0.12 
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    Abstract
    This article analyzes the collaboration trends, authorship and keywords of all research articles published in the Journal of American Society for Information Science and Technology (JASIST). Comparing the articles between two 10-year periods, namely, 1988-1997 and 1998-2007, the three-fold objectives are to analyze the shifts in (a) authors' collaboration trends (b) top authors, their affiliations as well as the pattern of coauthorship among them, and (c) top keywords and the subdisciplines from which they emerge. The findings reveal a distinct tendency towards collaboration among authors, with external collaborations becoming more prevalent. Top authors have grown in diversity from those being affiliated predominantly with library/information-related departments to include those from information systems management, information technology, businesss, and the humanities. Amid heterogeneous clusters of collaboration among top authors, strongly connected cross-disciplinary coauthor pairs have become more prevalent. Correspondingly, the distribution of top keywords' occurrences that leans heavily on core information science has shifted towards other subdisciplines such as information technology and sociobehavioral science.
  5. Naun, C.C.: FRBR principles applied to a local online journal finding aid (2007) 0.12 
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    Date
    10. 9.2000 17:38:22
  6. Middleton, C.C.; Dean, J.W.; Gilbertson, M.A.: ¬A process for the original cataloging of theses and dissertations (2015) 0.12 
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    Abstract
    The purpose of this article is to describe the reasoning, methodology, and impact behind a semi-automated cataloging process for electronic theses and dissertations, and to explain the importance of the retention and addition of cataloger-created metadata. The authors explain an automated process that is initiated by ProQuest and student (author) entered data, and through the addition of metadata by catalogers, including the subject headings, classification number, and so on. The study includes a survey of the public service librarians' perceived usefulness of the cataloger- and ProQuest-generated metadata to describe theses and dissertations.
  7. Kuhlthau, C.C.: Developing a model of the library search process : cognitive and affective aspects (1988) 0.11 
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  8. Lemert, C.C.: Language, structure, and measurement : structuralist semiotics and sociology (1979) 0.11 
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  9. Kuhlthau, C.C.: ¬A principle of uncertainty for information seeking (1993) 0.11 
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  10. Cobarg, C.C.: Informationen über Informationen : einige kritische Gedanken zur Informationsexplosion (1985) 0.11 
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  11. Kuhlthau, C.C.: ¬An uncertainty principle for information seeking : a qualitative approach (1998) 0.11 
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  12. Fu, W.W.; Sim, C.C.: Aggregate bandwagon effect on online videos' viewership : value uncertainty, popularity cues, and heuristics (2011) 0.11 
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    Date
    13. 2.2012 12:28:22
  13. Cataloging government publications online (1994) 0.10 
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    Editor
    Sherayko, C.C.
  14. McNally, M.J.; Kuhlthau, C.C.: Information search process as science education (1994) 0.10 
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  15. Horng, J.T.; Yeh, C.C.: Applying genetic algorithms to query optimization in document retrieval (2000) 0.10 
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  16. Kuhlthau, C.C: Seeking meaning : a process approach to library and information services (1993) 0.10 
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  17. Yang, C.C.: Content-based image retrievaI : a comparison between query by example and image browsing map approaches (2005) 0.10 
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  18. Carter, J.A.: PASSPORT/PRISM: authors and titles and MARC : oh my! (1993) 0.10 
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    Source
    OCLC systems and services. 9(1993) no.3, S.20-22
  19. Gödert, W.; Hubrich, J.; Boteram, F.: Thematische Recherche und Interoperabilität : Wege zur Optimierung des Zugriffs auf heterogen erschlossene Dokumente (2009) 0.09 
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    Source
    https://opus4.kobv.de/opus4-bib-info/frontdoor/index/index/searchtype/authorsearch/author/%22Hubrich%2C+Jessica%22/docId/703/start/0/rows/20
  20. Yang, C.C.; Li, K.W.: ¬A heuristic method based on a statistical approach for chinese text segmentation (2005) 0.09 
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    Abstract
    The authors propose a heuristic method for Chinese automatic text segmentation based an a statistical approach. This method is developed based an statistical information about the association among adjacent characters in Chinese text. Mutual information of bi-grams and significant estimation of tri-grams are utilized. A heuristic method with six rules is then proposed to determine the segmentation points in a Chinese sentence. No dictionary is required in this method. Chinese text segmentation is important in Chinese text indexing and thus greatly affects the performance of Chinese information retrieval. Due to the lack of delimiters of words in Chinese text, Chinese text segmentation is more difficult than English text segmentation. Besides, segmentation ambiguities and occurrences of out-of-vocabulary words (i.e., unknown words) are the major challenges in Chinese segmentation. Many research studies dealing with the problem of word segmentation have focused an the resolution of segmentation ambiguities. The problem of unknown word identification has not drawn much attention. The experimental result Shows that the proposed heuristic method is promising to segment the unknown words as weIl as the known words. The authors further investigated the distribution of the errors of commission and the errors of omission caused by the proposed heuristic method and benchmarked the proposed heuristic method with a previous proposed technique, boundary detection. It is found that the heuristic method outperformed the boundary detection method.

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