Search (10 results, page 1 of 1)

  • × theme_ss:"Internet"
  • × theme_ss:"Informetrie"
  1. Menczer, F.: Lexical and semantic clustering by Web links (2004) 0.04
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    Abstract
    Recent Web-searching and -mining tools are combining text and link analysis to improve ranking and crawling algorithms. The central assumption behind such approaches is that there is a correiation between the graph structure of the Web and the text and meaning of pages. Here I formalize and empirically evaluate two general conjectures drawing connections from link information to lexical and semantic Web content. The link-content conjecture states that a page is similar to the pages that link to it, and the link-cluster conjecture that pages about the same topic are clustered together. These conjectures are offen simply assumed to hold, and Web search tools are built an such assumptions. The present quantitative confirmation sheds light an the connection between the success of the latest Web-mining techniques and the small world topology of the Web, with encouraging implications for the design of better crawling algorithms.
  2. Pernik, V.; Schlögl, C.: Möglichkeiten und Grenzen von Web Structure Mining am Beispiel von informationswissenschaftlichen Hochschulinstituten im deutschsprachigen Raum (2006) 0.04
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  3. Raan, A.F.J. van; Noyons, E.C.M.: Discovery of patterns of scientific and technological development and knowledge transfer (2002) 0.03
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    Abstract
    This paper addresses a bibliometric methodology to discover the structure of the scientific 'landscape' in order to gain detailed insight into the development of MD fields, their interaction, and the transfer of knowledge between them. This methodology is appropriate to visualize the position of MD activities in relation to interdisciplinary MD developments, and particularly in relation to socio-economic problems. Furthermore, it allows the identification of the major actors. It even provides the possibility of foresight. We describe a first approach to apply bibliometric mapping as an instrument to investigate characteristics of knowledge transfer. In this paper we discuss the creation of 'maps of science' with help of advanced bibliometric methods. This 'bibliometric cartography' can be seen as a specific type of data-mining, applied to large amounts of scientific publications. As an example we describe the mapping of the field neuroscience, one of the largest and fast growing fields in the life sciences. The number of publications covered by this database is about 80,000 per year, the period covered is 1995-1998. Current research is going an to update the mapping for the years 1999-2002. This paper addresses the main lines of the methodology and its application in the study of knowledge transfer.
    Theme
    Data Mining
  4. Vaughan, L.: Visualizing linguistic and cultural differences using Web co-link data (2006) 0.03
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    Abstract
    The study examined Web co-links to Canadian university Web sites. Multidimensional scaling (MDS) was used to analyze and visualize co-link data as was done in co-citation analysis. Co-link data were collected in ways that would reflect three different views, the global view, the French Canada view, and the English Canada view. Mapping results of the three data sets accurately reflected the ways Canadians see the universities and clearly showed the linguistic and cultural differences within Canadian society. This shows that Web co-linking is not a random phenomenon and that co-link data contain useful information for Web data mining. It is proposed that the method developed in the study can be applied to other contexts such as analyzing relationships of different organizations or countries. This kind of research is promising because of the dynamics and the diversity of the Web.
  5. Stuart, D.: Web metrics for library and information professionals (2014) 0.02
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    LCSH
    Data mining
    Subject
    Data mining
  6. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.01
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    Date
    4.12.2006 12:12:22
  7. Zhang, Y.: ¬The impact of Internet-based electronic resources on formal scholarly communication in the area of library and information science : a citation analysis (1998) 0.01
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    Date
    30. 1.1999 17:22:22
  8. Neth, M.: Citation analysis and the Web (1998) 0.01
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    Date
    10. 1.1999 16:22:37
  9. Tonta, Y.: Scholarly communication and the use of networked information sources (1996) 0.01
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    Source
    IFLA journal. 22(1996) no.3, S.240-245
  10. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.01
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    Date
    22. 3.2009 17:49:11