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  • × year_i:[2000 TO 2010}
  1. Shen, X.; Li, D.; Shen, C.: Evaluating China's university library Web sites using correspondence analysis (2006) 0.11 
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    Date
    22. 7.2006 16:40:18
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.493-500
  2. 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
  3. ChaPudhry, A.S.; Periasamy, M.: ¬A study of current practices of selected libraries in cataloguing electronic journals (2001) 0.10 
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    Abstract
    MARC records and online policy documents of selected libraries were reviewed to study the approaches taken by libraries worldwide to catalogue electronic journals. In general, libraries catalogue those electronic journals that are subscribed by them on priority basis. Most of them annotate the e-journal to the print record, some prefer to catalogue them separately, while the majority of the libraries adopt both approaches. While most of the libraries studied prefer full record, cataloguing e-journals separately with a brief record (at least containing MARC fields 245, 500, and 856) that identifies and locates the resource seems to be the best practice.
    Date
    22. 1.2007 20:46:57
  4. Scammell, A.: Handbook of information management (2001) 0.08 
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    Pages
    500 S
  5. Sehgal, R.L.: ¬An introduction to Dewey Decimal Classification (2005) 0.08 
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    Content
    Inhalt: Section A: Number Building in Dewey Decimal Classification Chapters 1. Dewey Decimal Classification: An Introduction 2. Relative Index and its Utility 3. Table 1: Standard Subdivisions 4. Table 2: Areas 5. Table 3: Subdivisions of Individual Literature 6. Table 4: Aubdivisions of Individual Languages 7. Table 5: Racial, Ethnic National Groups 8. Table 6: Languages 9. Table 7: Persons 10. Number Building in Dewey Decimal Classification 11. Classification of Books According to Dewey Decimal classification 12. 000 Generalities 13. 100 Philosophy and Related Disciplines 14. 200 Religion 15. 300 Social Sciences 16. 400 Languages 17. 500 Pure Sciences 18. 600 Technology (Applied Sciences) 19. 700 The Arts 20. 800 Literature (Belles-Relaters) 21. 900 General Geography and History Exercises Solutions
    Date
    28. 2.2008 17:22:52
    Object
    DDC-22
  6. Guidarelli, N.M.: Subject data in the metadata record (2000) 0.06 
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    Source
    Library collections, acquisitions and technical services. 24(2000) no.x, S.499-500
  7. Historical aspects of cataloging and classification : Pt. 1 (2003) 0.06 
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    Footnote
    Also published as NIST special publication; 500-251(?) bei Haworth Press
  8. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.05 
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  9. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.04 
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    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  10. Hawking, D.; Robertson, S.: On collection size and retrieval effectiveness (2003) 0.04 
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    Date
    14. 8.2005 14:22:22
  11. Stuckenschmidt, H.; Harmelen, F. van: Information sharing on the semantic web (2005) 0.04 
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    Classification
    QH 500 (BVB)
    RVK
    QH 500 (BVB)
  12. Colomb, R.M.: Information spaces : the architecture of cyberspace (2002) 0.04 
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    Classification
    QP 500
    RVK
    QP 500
  13. Chaudhry, A.S.; Ling, G.H.: Building taxonomies using organizational resources : a case of business consulting environment (2005) 0.04 
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    Abstract
    Taxonomies are becoming an increasingly important tool for companies to effectively manage information, particularly in the business consulting environment, where information is considered a main asset and a key product. This paper describes a case study of developing a taxonomy system for a regional business consulting company. The taxonomy, consisting of 12 main categories and approximately 500 terms, was built based an the existing knowledge structure and information needs of consultants in a selected company. This prototype can be conveniently utilised and adapted by other companies in their efforts to develop their own taxonomy system.
  14. Wan, R.; Moffat, A.: Block merging for off-line compression (2007) 0.04 
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    Abstract
    To bound memory consumption, most compression systems provide a facility that controls the amount of data that may be processed at once - usually as a block size, but sometimes as a direct megabyte limit. In this work we consider the Re-Pair mechanism of Larsson and Moffat (2000), which processes large messages as disjoint blocks to limit memory consumption. We show that the blocks emitted by Re-Pair can be postprocessed to yield further savings, and describe techniques that allow files of 500 MB or more to be compressed in a holistic manner using less than that much main memory. The block merging process we describe has the additional advantage of allowing new text to be appended to the end of the compressed file.
  15. Buzydlowski, J.W.; White, H.D.; Lin, X.: Term Co-occurrence Analysis as an Interface for Digital Libraries (2002) 0.04 
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:16:22
  16. Hemminger, B.M.: Introduction to the special issue on bioinformatics (2005) 0.03 
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    Date
    22. 7.2006 14:19:22
  17. Ackermann, E.: Piaget's constructivism, Papert's constructionism : what's the difference? (2001) 0.03 
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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.
  18. Tseng, Y.-H.: Automatic cataloguing and searching for retrospective data by use of OCR text (2001) 0.03 
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    Abstract
    This article describes our efforts in supporting information retrieval from OCR degraded text. In particular, we report our approach to an automatic cataloging and searching contest for books in multiple languages. In this contest, 500 books in English, German, French, and Italian published during the 1770s to 1970s are scanned into images and OCRed to digital text. The goal is to use only automatic ways to extract information for sophisticated searching. We adopted the vector space retrieval model, an n-gram indexing method, and a special weighting scheme to tackle this problem. Although the performance by this approach is slightly inferior to the best approach, which is mainly based on regular expression match, one advantage of our approach is that it is less language dependent and less layout sensitive, thus is readily applicable to other languages and document collections. Problems of OCR text retrieval for some Asian languages are also discussed in this article, and solutions are suggested
  19. Computational information retrieval (2001) 0.03 
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    Isbn
    0-89871-500-8
  20. Thelwall, M.; Wilkinson, D.: Finding similar academic Web sites with links, bibliometric couplings and colinks (2004) 0.03 
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    Abstract
    A common task in both Webmetrics and Web information retrieval is to identify a set of Web pages or sites that are similar in content. In this paper we assess the extent to which links, colinks and couplings can be used to identify similar Web sites. As an experiment, a random sample of 500 pairs of domains from the UK academic Web were taken and human assessments of site similarity, based upon content type, were compared against ratings for the three concepts. The results show that using a combination of all three gives the highest probability of identifying similar sites, but surprisingly this was only a marginal improvement over using links alone. Another unexpected result was that high values for either colink counts or couplings were associated with only a small increased likelihood of similarity. The principal advantage of using couplings and colinks was found to be greater coverage in terms of a much larger number of pairs of sites being connected by these measures, instead of increased probability of similarity. In information retrieval terminology, this is improved recall rather than improved precision.

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