Search (1683 results, page 1 of 85)

0.16856344 = sum of:
  0.13791059 = product of:
    0.41373175 = sum of:
      0.41373175 = weight(_text_:3a in 1826) [ClassicSimilarity], result of:
        0.41373175 = score(doc=1826,freq=2.0), product of:
          0.4416923 = queryWeight, product of:
            8.478011 = idf(docFreq=24, maxDocs=44218)
            0.052098576 = queryNorm
          0.93669677 = fieldWeight in 1826, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            8.478011 = idf(docFreq=24, maxDocs=44218)
            0.078125 = fieldNorm(doc=1826)
    0.33333334 = coord(1/3)
  0.030652853 = product of:
    0.061305705 = sum of:
      0.061305705 = weight(_text_:web in 1826) [ClassicSimilarity], result of:
        0.061305705 = score(doc=1826,freq=2.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.36057037 = fieldWeight in 1826, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.078125 = fieldNorm(doc=1826)
    0.5 = coord(1/2)

Source

http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja

0.095501445 = sum of:
  0.068955295 = product of:
    0.20686588 = sum of:
      0.20686588 = weight(_text_:3a in 4997) [ClassicSimilarity], result of:
        0.20686588 = score(doc=4997,freq=2.0), product of:
          0.4416923 = queryWeight, product of:
            8.478011 = idf(docFreq=24, maxDocs=44218)
            0.052098576 = queryNorm
          0.46834838 = fieldWeight in 4997, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            8.478011 = idf(docFreq=24, maxDocs=44218)
            0.0390625 = fieldNorm(doc=4997)
    0.33333334 = coord(1/3)
  0.026546149 = product of:
    0.053092297 = sum of:
      0.053092297 = weight(_text_:web in 4997) [ClassicSimilarity], result of:
        0.053092297 = score(doc=4997,freq=6.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.3122631 = fieldWeight in 4997, product of:
            2.4494898 = tf(freq=6.0), with freq of:
              6.0 = termFreq=6.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.0390625 = fieldNorm(doc=4997)
    0.5 = coord(1/2)

Abstract

While classifications are heavily used to categorize web content, the evolution of the web foresees a more formal structure - ontology - which can serve this purpose. Ontologies are core artifacts of the Semantic Web which enable machines to use inference rules to conduct automated reasoning on data. Lightweight ontologies bridge the gap between classifications and ontologies. A lightweight ontology (LO) is an ontology representing a backbone taxonomy where the concept of the child node is more specific than the concept of the parent node. Formal lightweight ontologies can be generated from their informal ones. The key applications of formal lightweight ontologies are document classification, semantic search, and data integration. However, these applications suffer from the following problems: the disambiguation accuracy of the state of the art NLP tools used in generating formal lightweight ontologies from their informal ones; the lack of background knowledge needed for the formal lightweight ontologies; and the limitation of ontology reuse. In this dissertation, we propose a novel solution to these problems in formal lightweight ontologies; namely, faceted lightweight ontology (FLO). FLO is a lightweight ontology in which terms, present in each node label, and their concepts, are available in the background knowledge (BK), which is organized as a set of facets. A facet can be defined as a distinctive property of the groups of concepts that can help in differentiating one group from another. Background knowledge can be defined as a subset of a knowledge base, such as WordNet, and often represents a specific domain.

Content

PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.

0.092324466 = product of:
  0.18464893 = sum of:
    0.18464893 = sum of:
      0.08582799 = weight(_text_:web in 8365) [ClassicSimilarity], result of:
        0.08582799 = score(doc=8365,freq=2.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.50479853 = fieldWeight in 8365, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.109375 = fieldNorm(doc=8365)
      0.09882093 = weight(_text_:22 in 8365) [ClassicSimilarity], result of:
        0.09882093 = score(doc=8365,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.5416616 = fieldWeight in 8365, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.109375 = fieldNorm(doc=8365)
  0.5 = coord(1/2)

Date

22. 6.2015 16:08:38

0.08428172 = sum of:
  0.068955295 = product of:
    0.20686588 = sum of:
      0.20686588 = weight(_text_:3a in 4388) [ClassicSimilarity], result of:
        0.20686588 = score(doc=4388,freq=2.0), product of:
          0.4416923 = queryWeight, product of:
            8.478011 = idf(docFreq=24, maxDocs=44218)
            0.052098576 = queryNorm
          0.46834838 = fieldWeight in 4388, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            8.478011 = idf(docFreq=24, maxDocs=44218)
            0.0390625 = fieldNorm(doc=4388)
    0.33333334 = coord(1/3)
  0.015326426 = product of:
    0.030652853 = sum of:
      0.030652853 = weight(_text_:web in 4388) [ClassicSimilarity], result of:
        0.030652853 = score(doc=4388,freq=2.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.18028519 = fieldWeight in 4388, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.0390625 = fieldNorm(doc=4388)
    0.5 = coord(1/2)

Footnote

Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.

0.08306804 = product of:
  0.16613609 = sum of:
    0.16613609 = sum of:
      0.10966698 = weight(_text_:web in 4331) [ClassicSimilarity], result of:
        0.10966698 = score(doc=4331,freq=10.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.6450079 = fieldWeight in 4331, product of:
            3.1622777 = tf(freq=10.0), with freq of:
              10.0 = termFreq=10.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.0625 = fieldNorm(doc=4331)
      0.056469105 = weight(_text_:22 in 4331) [ClassicSimilarity], result of:
        0.056469105 = score(doc=4331,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.30952093 = fieldWeight in 4331, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0625 = fieldNorm(doc=4331)
  0.5 = coord(1/2)

Abstract

Das Semantic Web - bzw. Linked Data - hat das Potenzial, die Verfügbarkeit von Daten und Wissen, sowie den Zugriff darauf zu revolutionieren. Einen großen Beitrag dazu können Wissensorganisationssysteme wie Thesauri leisten, die die Daten inhaltlich erschließen und strukturieren. Leider sind immer noch viele dieser Systeme lediglich in Buchform oder in speziellen Anwendungen verfügbar. Wie also lassen sie sich für das Semantic Web nutzen? Das Simple Knowledge Organization System (SKOS) bietet eine Möglichkeit, die Wissensorganisationssysteme in eine Form zu "übersetzen", die im Web zitiert und mit anderen Resourcen verknüpft werden kann.

Date

15. 3.2011 19:21:22

Theme

Semantic Web

0.08274635 = product of:
  0.1654927 = sum of:
    0.1654927 = product of:
      0.49647808 = sum of:
        0.49647808 = weight(_text_:3a in 973) [ClassicSimilarity], result of:
          0.49647808 = score(doc=973,freq=2.0), product of:
            0.4416923 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.052098576 = queryNorm
            1.1240361 = fieldWeight in 973, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.09375 = fieldNorm(doc=973)
      0.33333334 = coord(1/3)
  0.5 = coord(1/2)

Content

Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.

0.078642875 = product of:
  0.15728575 = sum of:
    0.15728575 = sum of:
      0.08669936 = weight(_text_:web in 2090) [ClassicSimilarity], result of:
        0.08669936 = score(doc=2090,freq=4.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.5099235 = fieldWeight in 2090, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.078125 = fieldNorm(doc=2090)
      0.07058638 = weight(_text_:22 in 2090) [ClassicSimilarity], result of:
        0.07058638 = score(doc=2090,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.38690117 = fieldWeight in 2090, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.078125 = fieldNorm(doc=2090)
  0.5 = coord(1/2)

Source

Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou

Theme

Semantic Web

0.07635105 = product of:
  0.1527021 = sum of:
    0.1527021 = sum of:
      0.110350266 = weight(_text_:web in 4649) [ClassicSimilarity], result of:
        0.110350266 = score(doc=4649,freq=18.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.64902663 = fieldWeight in 4649, product of:
            4.2426405 = tf(freq=18.0), with freq of:
              18.0 = termFreq=18.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.046875 = fieldNorm(doc=4649)
      0.042351827 = weight(_text_:22 in 4649) [ClassicSimilarity], result of:
        0.042351827 = score(doc=4649,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.23214069 = fieldWeight in 4649, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=4649)
  0.5 = coord(1/2)

Abstract

More and more cultural heritage institutions publish their collections, vocabularies and metadata on the Web. The resulting Web of linked cultural data opens up exciting new possibilities for searching and browsing through these cultural heritage collections. We report on ongoing work in which we investigate the estimation of relevance in this Web of Culture. We study existing measures of semantic distance and how they apply to two use cases. The use cases relate to the structured, multilingual and multimodal nature of the Culture Web. We distinguish between measures using the Web, such as Google distance and PMI, and measures using the Linked Data Web, i.e. the semantic structure of metadata vocabularies. We perform a small study in which we compare these semantic distance measures to human judgements of relevance. Although it is too early to draw any definitive conclusions, the study provides new insights into the applicability of semantic distance measures to the Web of Culture, and clear starting points for further research.

Date

26.12.2011 13:40:22

Theme

Semantic Web

0.07319553 = product of:
  0.14639106 = sum of:
    0.14639106 = sum of:
      0.10403923 = weight(_text_:web in 2158) [ClassicSimilarity], result of:
        0.10403923 = score(doc=2158,freq=16.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.6119082 = fieldWeight in 2158, product of:
            4.0 = tf(freq=16.0), with freq of:
              16.0 = termFreq=16.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.046875 = fieldNorm(doc=2158)
      0.042351827 = weight(_text_:22 in 2158) [ClassicSimilarity], result of:
        0.042351827 = score(doc=2158,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.23214069 = fieldWeight in 2158, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=2158)
  0.5 = coord(1/2)

Abstract

This paper introduces a project to develop a reliable, cost-effective method for classifying Internet texts into register categories, and apply that approach to the analysis of a large corpus of web documents. To date, the project has proceeded in 2 key phases. First, we developed a bottom-up method for web register classification, asking end users of the web to utilize a decision-tree survey to code relevant situational characteristics of web documents, resulting in a bottom-up identification of register and subregister categories. We present details regarding the development and testing of this method through a series of 10 pilot studies. Then, in the second phase of our project we applied this procedure to a corpus of 53,000 web documents. An analysis of the results demonstrates the effectiveness of these methods for web register classification and provides a preliminary description of the types and distribution of registers on the web.

Date

4. 8.2015 19:22:04

0.06983581 = product of:
  0.13967162 = sum of:
    0.13967162 = sum of:
      0.0973198 = weight(_text_:web in 987) [ClassicSimilarity], result of:
        0.0973198 = score(doc=987,freq=14.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.57238775 = fieldWeight in 987, product of:
            3.7416575 = tf(freq=14.0), with freq of:
              14.0 = termFreq=14.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.046875 = fieldNorm(doc=987)
      0.042351827 = weight(_text_:22 in 987) [ClassicSimilarity], result of:
        0.042351827 = score(doc=987,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.23214069 = fieldWeight in 987, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=987)
  0.5 = coord(1/2)

Abstract

This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve languages as a tool for subject queries and knowledge exploration. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications.

Date

23. 7.2017 13:49:22

LCSH

Semantic Web
World Wide Web / Subject access

RSWK

Semantic Web

Subject

Semantic Web
World Wide Web / Subject access
Semantic Web

0.06761923 = product of:
  0.13523845 = sum of:
    0.13523845 = sum of:
      0.08582799 = weight(_text_:web in 1517) [ClassicSimilarity], result of:
        0.08582799 = score(doc=1517,freq=8.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.50479853 = fieldWeight in 1517, product of:
            2.828427 = tf(freq=8.0), with freq of:
              8.0 = termFreq=8.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.0546875 = fieldNorm(doc=1517)
      0.049410466 = weight(_text_:22 in 1517) [ClassicSimilarity], result of:
        0.049410466 = score(doc=1517,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.2708308 = fieldWeight in 1517, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0546875 = fieldNorm(doc=1517)
  0.5 = coord(1/2)

RSWK

Soziale Software / World Wide Web 2.0 / Kongress / Düsseldorf <2012>

Subject

Soziale Software / World Wide Web 2.0 / Kongress / Düsseldorf <2012>

0.06622623 = product of:
  0.13245246 = sum of:
    0.13245246 = sum of:
      0.09010062 = weight(_text_:web in 3197) [ClassicSimilarity], result of:
        0.09010062 = score(doc=3197,freq=12.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.5299281 = fieldWeight in 3197, product of:
            3.4641016 = tf(freq=12.0), with freq of:
              12.0 = termFreq=12.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.046875 = fieldNorm(doc=3197)
      0.042351827 = weight(_text_:22 in 3197) [ClassicSimilarity], result of:
        0.042351827 = score(doc=3197,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.23214069 = fieldWeight in 3197, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=3197)
  0.5 = coord(1/2)

Abstract

Indexing consists of both novel and more traditional techniques. Cutting-edge indexing techniques, such as automatic indexing, ontologies, and topic maps, were developed independently of older techniques such as thesauri, but it is now recognized that these older methods also hold expertise. Indexing describes various traditional and novel indexing techniques, giving information professionals and students of library and information sciences a broad and comprehensible introduction to indexing. This title consists of twelve chapters: an Introduction to subject readings and theasauri; Automatic indexing versus manual indexing; Techniques applied in automatic indexing of text material; Automatic indexing of images; The black art of indexing moving images; Automatic indexing of music; Taxonomies and ontologies; Metadata formats and indexing; Tagging; Topic maps; Indexing the web; and The Semantic Web.

Date

24. 8.2016 14:03:22

RSWK

Semantic Web

Subject

Semantic Web

Theme

Semantic Web

0.0629143 = product of:
  0.1258286 = sum of:
    0.1258286 = sum of:
      0.06935949 = weight(_text_:web in 1679) [ClassicSimilarity], result of:
        0.06935949 = score(doc=1679,freq=4.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.4079388 = fieldWeight in 1679, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.0625 = fieldNorm(doc=1679)
      0.056469105 = weight(_text_:22 in 1679) [ClassicSimilarity], result of:
        0.056469105 = score(doc=1679,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.30952093 = fieldWeight in 1679, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0625 = fieldNorm(doc=1679)
  0.5 = coord(1/2)

Abstract

Durch den neuen Erschließungsstandard "Resource Description and Access" (RDA) lassen sich bibliografische Daten sowie Normdaten Semantic-Web-konform repräsentieren. Der Vortrag soll aufzeigen, welche Auswirkungen RDA auf die Katalogisierung in Bibliotheken und den Zugang zu den erschlossenen Ressourcen im Semantic Web hat. Anhand erster Erfahrungen aus praktischen Umsetzungen wird erläutert, wie bibliografische Daten durch RDA und Linked-Data-Technologien besser zugänglich gemacht und vor allem nachgenutzt werden können.

Date

13. 2.2011 20:22:23

0.0629143 = product of:
  0.1258286 = sum of:
    0.1258286 = sum of:
      0.06935949 = weight(_text_:web in 4392) [ClassicSimilarity], result of:
        0.06935949 = score(doc=4392,freq=4.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.4079388 = fieldWeight in 4392, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.0625 = fieldNorm(doc=4392)
      0.056469105 = weight(_text_:22 in 4392) [ClassicSimilarity], result of:
        0.056469105 = score(doc=4392,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.30952093 = fieldWeight in 4392, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0625 = fieldNorm(doc=4392)
  0.5 = coord(1/2)

Abstract

»Wann versteht mich mein Computer endlich?« So könnte man die Quintessenz der 1. DGI-Konferenz, ausgerichtet von der Deutschen Gesellschaft für Informationswissenschaft und Informationspraxis (DGI) anlässlich der diesjährigen Frankfurter Buchmesse zusammenfassen, in deren Rahmen zugleich die 62. DGI-Jahrestagung stattgefunden hat. Unter dem Motto »Semantic Web & Linked Data - Elemente zukünftiger Informationsinfrastrukturen« kamen vom 7. bis 9. Oktober 2010 über 400 Informationsfachleute aus Wissenschaft, Bildung, Verwaltung, Wirtschaft und Bibliotheken zusammen, um ihre Arbeiten und Erkenntnisse zur nächsten Generation der Webtechnologien vorzustellen und untereinander zu diskutieren.

Source

BuB. 63(2011) H.1, S.22-23

0.060996275 = product of:
  0.12199255 = sum of:
    0.12199255 = sum of:
      0.08669936 = weight(_text_:web in 1627) [ClassicSimilarity], result of:
        0.08669936 = score(doc=1627,freq=16.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.5099235 = fieldWeight in 1627, product of:
            4.0 = tf(freq=16.0), with freq of:
              16.0 = termFreq=16.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1627)
      0.03529319 = weight(_text_:22 in 1627) [ClassicSimilarity], result of:
        0.03529319 = score(doc=1627,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.19345059 = fieldWeight in 1627, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1627)
  0.5 = coord(1/2)

Abstract

Purpose The purpose of this paper is to design a watcher-based crawler (WBC) that has the ability of crawling static and dynamic web sites, and can download only the updated and newly added web pages. Design/methodology/approach In the proposed WBC crawler, a watcher file, which can be uploaded to the web sites servers, prepares a report that contains the addresses of the updated and the newly added web pages. In addition, the WBC is split into five units, where each unit is responsible for performing a specific crawling process. Findings Several experiments have been conducted and it has been observed that the proposed WBC increases the number of uniquely visited static and dynamic web sites as compared with the existing crawling techniques. In addition, the proposed watcher file not only allows the crawlers to visit the updated and newly web pages, but also solves the crawlers overlapping and communication problems. Originality/value The proposed WBC performs all crawling processes in the sense that it detects all updated and newly added pages automatically without any human explicit intervention or downloading the entire web sites.

Date

20. 1.2015 18:30:22

0.057959333 = product of:
  0.115918666 = sum of:
    0.115918666 = sum of:
      0.07356684 = weight(_text_:web in 4560) [ClassicSimilarity], result of:
        0.07356684 = score(doc=4560,freq=8.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.43268442 = fieldWeight in 4560, product of:
            2.828427 = tf(freq=8.0), with freq of:
              8.0 = termFreq=8.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.046875 = fieldNorm(doc=4560)
      0.042351827 = weight(_text_:22 in 4560) [ClassicSimilarity], result of:
        0.042351827 = score(doc=4560,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.23214069 = fieldWeight in 4560, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=4560)
  0.5 = coord(1/2)

Abstract

In this article, several procedures (e.g., measurements, information retrieval analyses, power law, association rules, hierarchical clustering) are introduced which were made on a pilot digital library. Information retrievals of web users from 01/01/2003 to 01/01/2006 on the internal search engine of the pilot digital library have been analyzed. With the power law method of data processing, a constant information retrieval pattern has been established, stable over a longer period of time. After this, the data have been analyzed. On the basis of the accomplished measurements and analyses, a series of mental models of web users for global (educational) purposes have been developed (e.g., the metamodel of thought hierarchy of web users, the segmentation model of web users), and the users were profiled in four different groups (adventurers, observers, applicable, and know-alls). The article concludes with the construction of a new knowledge management solution called multidimensional rank thesaurus.

Date

13. 7.2011 14:47:22

0.057959333 = product of:
  0.115918666 = sum of:
    0.115918666 = sum of:
      0.07356684 = weight(_text_:web in 563) [ClassicSimilarity], result of:
        0.07356684 = score(doc=563,freq=8.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.43268442 = fieldWeight in 563, product of:
            2.828427 = tf(freq=8.0), with freq of:
              8.0 = termFreq=8.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.046875 = fieldNorm(doc=563)
      0.042351827 = weight(_text_:22 in 563) [ClassicSimilarity], result of:
        0.042351827 = score(doc=563,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.23214069 = fieldWeight in 563, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=563)
  0.5 = coord(1/2)

Abstract

In this thesis we propose three new word association measures for multi-word term extraction. We combine these association measures with LocalMaxs algorithm in our extraction model and compare the results of different multi-word term extraction methods. Our approach is language and domain independent and requires no training data. It can be applied to such tasks as text summarization, information retrieval, and document classification. We further explore the potential of using multi-word terms as an effective representation for general web-page summarization. We extract multi-word terms from human written summaries in a large collection of web-pages, and generate the summaries by aligning document words with these multi-word terms. Our system applies machine translation technology to learn the aligning process from a training set and focuses on selecting high quality multi-word terms from human written summaries to generate suitable results for web-page summarization.

Date

10. 1.2013 19:22:47

0.053031296 = product of:
  0.10606259 = sum of:
    0.10606259 = sum of:
      0.063710764 = weight(_text_:web in 2118) [ClassicSimilarity], result of:
        0.063710764 = score(doc=2118,freq=6.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.37471575 = fieldWeight in 2118, product of:
            2.4494898 = tf(freq=6.0), with freq of:
              6.0 = termFreq=6.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.046875 = fieldNorm(doc=2118)
      0.042351827 = weight(_text_:22 in 2118) [ClassicSimilarity], result of:
        0.042351827 = score(doc=2118,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.23214069 = fieldWeight in 2118, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=2118)
  0.5 = coord(1/2)

Abstract

Während das Internet vor noch nicht allzu langer Zeit hauptsächlich ein weiteres Informationsmedium darstellte, so explodieren die technischen Möglichkeiten derzeit förmlich. Diese stärken nicht nur den gegenseitigen Austausch der Nutzer. Sie alle vermessen unsere täglichen Gewohnheiten - auf sehr vielfältige Art und Weise. Die Mechanismen, die das gekaufte Web ausmachen, werden hierdurch komplexer. In den meisten neuen Technologien und Anwendungen verbergen sich Wege, die Verbraucherverführung zu perfektionieren. Nicht wenige davon dürften zudem für die Politik und andere Interessensverbände von Bedeutung sein, als alternativer Kanal, um Wählergruppen und Unterstützer zu mobilisieren. Das nachfolgende Kapitel nennt die wichtigsten Trends der nächsten Jahre, mitsamt ihren möglichen manipulativen Auswirkungen. Nur wenn wir beobachten, von wem die Zukunftstechniken wie genutzt werden, können wir kommerziellen Auswüchsen vorbeugen.

Content

Mit Verweis auf das Buch: Firnkes, M.: Das gekaufte Web: wie wir online manipuliert werden. Hannover : Heise Zeitschriften Verlag 2015. 220 S.

Date

5. 7.2015 22:02:31

Theme

Semantic Web

0.052756835 = product of:
  0.10551367 = sum of:
    0.10551367 = sum of:
      0.049044564 = weight(_text_:web in 344) [ClassicSimilarity], result of:
        0.049044564 = score(doc=344,freq=2.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.2884563 = fieldWeight in 344, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.0625 = fieldNorm(doc=344)
      0.056469105 = weight(_text_:22 in 344) [ClassicSimilarity], result of:
        0.056469105 = score(doc=344,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.30952093 = fieldWeight in 344, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0625 = fieldNorm(doc=344)
  0.5 = coord(1/2)

Date

18. 9.2018 18:22:18

Source

Handbuch Internet-Suchmaschinen, 2: Neue Entwicklungen in der Web-Suche. Hrsg.: D. Lewandowski

0.051917527 = product of:
  0.103835054 = sum of:
    0.103835054 = sum of:
      0.06854186 = weight(_text_:web in 109) [ClassicSimilarity], result of:
        0.06854186 = score(doc=109,freq=10.0), product of:
          0.17002425 = queryWeight, product of:
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.052098576 = queryNorm
          0.40312994 = fieldWeight in 109, product of:
            3.1622777 = tf(freq=10.0), with freq of:
              10.0 = termFreq=10.0
            3.2635105 = idf(docFreq=4597, maxDocs=44218)
            0.0390625 = fieldNorm(doc=109)
      0.03529319 = weight(_text_:22 in 109) [ClassicSimilarity], result of:
        0.03529319 = score(doc=109,freq=2.0), product of:
          0.18244034 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052098576 = queryNorm
          0.19345059 = fieldWeight in 109, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=109)
  0.5 = coord(1/2)

Abstract

This chapter shows that the wider use of Web search engines, reconsidering the theoretical and methodological frameworks to grasp new information practices. Beginning with an overview of the recent challenges implied by the dynamic nature of the Web, this chapter then traces the information behavior related concepts in order to present the different approaches from the user perspective. The authors pay special attention to the concept of "information practice" and other related concepts such as "use", "activity", and "behavior" largely used in the literature but not always strictly defined. The authors provide an overview of user-oriented studies that are meaningful to understand the different contexts of use of electronic information access systems, focusing on five approaches: the system-oriented approaches, the theories of information seeking, the cognitive and psychological approaches, the management science approaches, and the marketing approaches. Future directions of work are then shaped, including social searching and the ethical, cultural, and political dimensions of Web search engines. The authors conclude considering the importance of Critical theory to better understand the role of Web Search engines in our modern society.

Date

20. 4.2012 13:22:37