Search (4 results, page 1 of 1)

0.017433673 = product of:
  0.043584183 = sum of:
    0.021555046 = weight(_text_:u in 3407) [ClassicSimilarity], result of:
      0.021555046 = score(doc=3407,freq=2.0), product of:
        0.14895199 = queryWeight, product of:
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.04548924 = queryNorm
        0.14471136 = fieldWeight in 3407, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.03125 = fieldNorm(doc=3407)
    0.022029137 = weight(_text_:r in 3407) [ClassicSimilarity], result of:
      0.022029137 = score(doc=3407,freq=2.0), product of:
        0.15058114 = queryWeight, product of:
          3.3102584 = idf(docFreq=4387, maxDocs=44218)
          0.04548924 = queryNorm
        0.14629413 = fieldWeight in 3407, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.3102584 = idf(docFreq=4387, maxDocs=44218)
          0.03125 = fieldNorm(doc=3407)
  0.4 = coord(2/5)

Editor

Hagengruber, R. u. U.V. Riss

0.015594902 = product of:
  0.07797451 = sum of:
    0.07797451 = sum of:
      0.05332186 = weight(_text_:stand in 168) [ClassicSimilarity], result of:
        0.05332186 = score(doc=168,freq=2.0), product of:
          0.23427421 = queryWeight, product of:
            5.1501017 = idf(docFreq=696, maxDocs=44218)
            0.04548924 = queryNorm
          0.22760448 = fieldWeight in 168, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            5.1501017 = idf(docFreq=696, maxDocs=44218)
            0.03125 = fieldNorm(doc=168)
      0.024652656 = weight(_text_:22 in 168) [ClassicSimilarity], result of:
        0.024652656 = score(doc=168,freq=2.0), product of:
          0.15929557 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.04548924 = queryNorm
          0.15476047 = fieldWeight in 168, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03125 = fieldNorm(doc=168)
  0.2 = coord(1/5)

Abstract

Ontologies are viewed as the silver bullet for many applications, but in open or evolving systems, different parties can adopt different ontologies. This increases heterogeneity problems rather than reducing heterogeneity. This book proposes ontology matching as a solution to the problem of semantic heterogeneity, offering researchers and practitioners a uniform framework of reference to currently available work. The techniques presented apply to database schema matching, catalog integration, XML schema matching and more. Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko's book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, artificial intelligence. With Ontology Matching, researchers and practitioners will find a reference book which presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can equally be applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a detailed account of matching techniques and matching systems in a systematic way from theoretical, practical and application perspectives.

Date

20. 6.2012 19:08:22

0.010199634 = product of:
  0.05099817 = sum of:
    0.05099817 = weight(_text_:r in 5152) [ClassicSimilarity], result of:
      0.05099817 = score(doc=5152,freq=14.0), product of:
        0.15058114 = queryWeight, product of:
          3.3102584 = idf(docFreq=4387, maxDocs=44218)
          0.04548924 = queryNorm
        0.33867568 = fieldWeight in 5152, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.3102584 = idf(docFreq=4387, maxDocs=44218)
          0.02734375 = fieldNorm(doc=5152)
  0.2 = coord(1/5)

Content

C H A P T E R 1 What is an ontology?; Introduction; The data deluge and information overload; Defining terms; Knowledge organization systems and ontologies; Ontologies, metadata and linked data; What can an ontology do?; Ontologies and information professionals; Alternatives to ontologies; The aims of this book; The structure of this book; C H A P T E R 2 Ontologies and the semantic web; Introduction; The semantic web and linked data; Resource Description Framework (RDF); Classes, subclasses and properties; The semantic web stack; Embedded RDF; Alternative semantic visionsLibraries and the semantic web; Other cultural heritage institutions and the semantic web; Other organizations and the semantic web; Conclusion; C H A P T E R 3 Existing ontologies; Introduction; Ontology documentation; Ontologies for representing ontologies; Ontologies for libraries; Upper ontologies; Cultural heritage data models; Ontologies for the web; Conclusion; C H A P T E R 4 Adopting ontologies; Introduction; Reusing ontologies: application profiles and data models; Identifying ontologies; The ideal ontology discovery tool; Selection criteria; Conclusion C H A P T E R 5 Building ontologiesIntroduction; Approaches to building an ontology; The twelve steps; Ontology development example: Bibliometric Metrics Ontology element set; Conclusion; C H A P T E R 6 Interrogating ontologies; Introduction; Interrogating ontologies for reuse; Interrogating a knowledge base; Understanding ontology use; Conclusion; C H A P T E R 7 The future of ontologies and the information professional; Introduction; The future of ontologies for knowledge discovery; The future role of library and information professionals; The practical development of ontologies

0.007591071 = product of:
  0.037955355 = sum of:
    0.037955355 = weight(_text_:o in 2863) [ClassicSimilarity], result of:
      0.037955355 = score(doc=2863,freq=2.0), product of:
        0.22823264 = queryWeight, product of:
          5.017288 = idf(docFreq=795, maxDocs=44218)
          0.04548924 = queryNorm
        0.16630118 = fieldWeight in 2863, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.017288 = idf(docFreq=795, maxDocs=44218)
          0.0234375 = fieldNorm(doc=2863)
  0.2 = coord(1/5)

Footnote

Rez. in: Mitt. VÖB 62(2009) H.2, S.92-96 (O. Oberhauser): "... Ein kurzes Fazit: Ein lesenswertes Buch, das insbesondere jenen, die sich bislang noch nicht mit Ontologien und semantischen Techniken befasst haben, einen nützlichen ersten Einblick zu geben vermag. Nichts hingegen für Spezialisten, denn der Text kann auf den verfügbaren Seiten an keiner Stelle wirklich in die Tiefe gehen. Insbesondere die beiden ersten Hauptabschnitte sind auch als Lehrtext gut geeignet, selbst wenn an verschiedenen Stellen die Präzision zu wünschen übrig lässt. Gar zu nonchalant wird hier nämlich mit Grundbegriffen der Wissensorganisation umgegangen - z.B. wird der Informationsthesaurus nicht ausreichend vom Synonymenwörterbuch (Roget's) abgegrenzt, Klassifikationssysteme werden durchweg als Taxonomien (mit reduziertem Anspruchsniveau) verkauft. Und: zum Themenbereich "automatisches Klassifizieren" fällt den Autorinnen lediglich das reichlich angestaubte System Scorpion von OCLC ein. Mit diesen kleinen Einschränkungen kann das Werk aber durchaus empfohlen werden. Der Ladenpreis ist natürlich für Studierende bzw. persönliche Käufer zu hoch, doch das Buch wird wohl ohnedies vornehmlich institutionelle Abnehmer finden."