Search (8 results, page 1 of 1)

  • × theme_ss:"Semantic Web"
  • × type_ss:"m"
  • × year_i:[2010 TO 2020}
  1. Weller, K.: Knowledge representation in the Social Semantic Web (2010) 0.02
    0.016424723 = product of:
      0.06569889 = sum of:
        0.06569889 = weight(_text_:soziale in 4515) [ClassicSimilarity], result of:
          0.06569889 = score(doc=4515,freq=2.0), product of:
            0.2780798 = queryWeight, product of:
              6.1096387 = idf(docFreq=266, maxDocs=44218)
              0.045514934 = queryNorm
            0.23625913 = fieldWeight in 4515, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              6.1096387 = idf(docFreq=266, maxDocs=44218)
              0.02734375 = fieldNorm(doc=4515)
      0.25 = coord(1/4)
    
    Footnote
    Rez. in: iwp 62(2011) H.4, S.205-206 (C. Carstens): "Welche Arten der Wissensrepräsentation existieren im Web, wie ausgeprägt sind semantische Strukturen in diesem Kontext, und wie können soziale Aktivitäten im Sinne des Web 2.0 zur Strukturierung von Wissen im Web beitragen? Diesen Fragen widmet sich Wellers Buch mit dem Titel Knowledge Representation in the Social Semantic Web. Der Begriff Social Semantic Web spielt einerseits auf die semantische Strukturierung von Daten im Sinne des Semantic Web an und deutet andererseits auf die zunehmend kollaborative Inhaltserstellung im Social Web hin. Weller greift die Entwicklungen in diesen beiden Bereichen auf und beleuchtet die Möglichkeiten und Herausforderungen, die aus der Kombination der Aktivitäten im Semantic Web und im Social Web entstehen. Der Fokus des Buches liegt dabei primär auf den konzeptuellen Herausforderungen, die sich in diesem Kontext ergeben. So strebt die originäre Vision des Semantic Web die Annotation aller Webinhalte mit ausdrucksstarken, hochformalisierten Ontologien an. Im Social Web hingegen werden große Mengen an Daten von Nutzern erstellt, die häufig mithilfe von unkontrollierten Tags in Folksonomies annotiert werden. Weller sieht in derartigen kollaborativ erstellten Inhalten und Annotationen großes Potenzial für die semantische Indexierung, eine wichtige Voraussetzung für das Retrieval im Web. Das Hauptinteresse des Buches besteht daher darin, eine Brücke zwischen den Wissensrepräsentations-Methoden im Social Web und im Semantic Web zu schlagen. Um dieser Fragestellung nachzugehen, gliedert sich das Buch in drei Teile. . . .
  2. Gartner, R.: Metadata : shaping knowledge from antiquity to the semantic web (2016) 0.01
    0.006995385 = product of:
      0.02798154 = sum of:
        0.02798154 = product of:
          0.05596308 = sum of:
            0.05596308 = weight(_text_:software in 731) [ClassicSimilarity], result of:
              0.05596308 = score(doc=731,freq=4.0), product of:
                0.18056466 = queryWeight, product of:
                  3.9671519 = idf(docFreq=2274, maxDocs=44218)
                  0.045514934 = queryNorm
                0.30993375 = fieldWeight in 731, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.9671519 = idf(docFreq=2274, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=731)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    LCSH
    Application software
    Subject
    Application software
  3. Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016) 0.01
    0.005395815 = product of:
      0.02158326 = sum of:
        0.02158326 = product of:
          0.04316652 = sum of:
            0.04316652 = weight(_text_:22 in 3283) [ClassicSimilarity], result of:
              0.04316652 = score(doc=3283,freq=2.0), product of:
                0.15938555 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045514934 = queryNorm
                0.2708308 = fieldWeight in 3283, 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=3283)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
  4. Semantic applications (2018) 0.00
    0.0049464838 = product of:
      0.019785935 = sum of:
        0.019785935 = product of:
          0.03957187 = sum of:
            0.03957187 = weight(_text_:software in 5204) [ClassicSimilarity], result of:
              0.03957187 = score(doc=5204,freq=2.0), product of:
                0.18056466 = queryWeight, product of:
                  3.9671519 = idf(docFreq=2274, maxDocs=44218)
                  0.045514934 = queryNorm
                0.21915624 = fieldWeight in 5204, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.9671519 = idf(docFreq=2274, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5204)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    This book describes proven methodologies for developing semantic applications: software applications which explicitly or implicitly uses the semantics (i.e., the meaning) of a domain terminology in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. The book includes technological and architectural best practices for corporate use.
  5. Keyser, P. de: Indexing : from thesauri to the Semantic Web (2012) 0.00
    0.0046249838 = product of:
      0.018499935 = sum of:
        0.018499935 = product of:
          0.03699987 = sum of:
            0.03699987 = weight(_text_:22 in 3197) [ClassicSimilarity], result of:
              0.03699987 = score(doc=3197,freq=2.0), product of:
                0.15938555 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045514934 = 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)
      0.25 = coord(1/4)
    
    Date
    24. 8.2016 14:03:22
  6. Brambilla, M.; Ceri, S.: Designing exploratory search applications upon Web data sources (2012) 0.00
    0.0039571873 = product of:
      0.01582875 = sum of:
        0.01582875 = product of:
          0.0316575 = sum of:
            0.0316575 = weight(_text_:software in 428) [ClassicSimilarity], result of:
              0.0316575 = score(doc=428,freq=2.0), product of:
                0.18056466 = queryWeight, product of:
                  3.9671519 = idf(docFreq=2274, maxDocs=44218)
                  0.045514934 = queryNorm
                0.17532499 = fieldWeight in 428, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.9671519 = idf(docFreq=2274, maxDocs=44218)
                  0.03125 = fieldNorm(doc=428)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    Search is the preferred method to access information in today's computing systems. The Web, accessed through search engines, is universally recognized as the source for answering users' information needs. However, offering a link to a Web page does not cover all information needs. Even simple problems, such as "Which theater offers an at least three-stars action movie in London close to a good Italian restaurant," can only be solved by searching the Web multiple times, e.g., by extracting a list of the recent action movies filtered by ranking, then looking for movie theaters, then looking for Italian restaurants close to them. While search engines hint to useful information, the user's brain is the fundamental platform for information integration. An important trend is the availability of new, specialized data sources-the so-called "long tail" of the Web of data. Such carefully collected and curated data sources can be much more valuable than information currently available in Web pages; however, many sources remain hidden or insulated, in the lack of software solutions for bringing them to surface and making them usable in the search context. A new class of tailor-made systems, designed to satisfy the needs of users with specific aims, will support the publishing and integration of data sources for vertical domains; the user will be able to select sources based on individual or collective trust, and systems will be able to route queries to such sources and to provide easyto-use interfaces for combining them within search strategies, at the same time, rewarding the data source owners for each contribution to effective search. Efforts such as Google's Fusion Tables show that the technology for bringing hidden data sources to surface is feasible.
  7. Corporate Semantic Web : wie semantische Anwendungen in Unternehmen Nutzen stiften (2015) 0.00
    0.0039571873 = product of:
      0.01582875 = sum of:
        0.01582875 = product of:
          0.0316575 = sum of:
            0.0316575 = weight(_text_:software in 2246) [ClassicSimilarity], result of:
              0.0316575 = score(doc=2246,freq=2.0), product of:
                0.18056466 = queryWeight, product of:
                  3.9671519 = idf(docFreq=2274, maxDocs=44218)
                  0.045514934 = queryNorm
                0.17532499 = fieldWeight in 2246, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.9671519 = idf(docFreq=2274, maxDocs=44218)
                  0.03125 = fieldNorm(doc=2246)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    Beim Corporate Semantic Web betrachtet man Semantic Web-Anwendungen, die innerhalb eines Unternehmens oder einer Organisation - kommerziell und nicht kommerziell - eingesetzt werden, von Mitarbeitern, von Kunden oder Partnern. Die Autoren erläutern prägende Erfahrungen in der Entwicklung von Semantic Web-Anwendungen. Sie berichten über Software-Architektur, Methodik, Technologieauswahl, Linked Open Data Sets, Lizenzfragen etc. Anwendungen aus den Branchen Banken, Versicherungen, Telekommunikation, Medien, Energie, Maschinenbau, Logistik, Touristik, Spielwaren, Bibliothekswesen und Kultur werden vorgestellt. Der Leser erhält so einen umfassenden Überblick über die Semantic Web-Einsatzbereiche sowie konkrete Umsetzungshinweise für eigene Vorhaben.
  8. Metadata and semantics research : 7th Research Conference, MTSR 2013 Thessaloniki, Greece, November 19-22, 2013. Proceedings (2013) 0.00
    0.0038154172 = product of:
      0.015261669 = sum of:
        0.015261669 = product of:
          0.030523337 = sum of:
            0.030523337 = weight(_text_:22 in 1155) [ClassicSimilarity], result of:
              0.030523337 = score(doc=1155,freq=4.0), product of:
                0.15938555 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045514934 = queryNorm
                0.19150631 = fieldWeight in 1155, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.02734375 = fieldNorm(doc=1155)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Date
    17.12.2013 12:51:22

Languages