Search (1 results, page 1 of 1)

  • × subject_ss:"Wissensbasiertes System"
  • × subject_ss:"Semantic Web"
  1. Semantic applications (2018) 0.07
    0.06868714 = product of:
      0.13737428 = sum of:
        0.024359472 = weight(_text_:for in 5204) [ClassicSimilarity], result of:
          0.024359472 = score(doc=5204,freq=14.0), product of:
            0.08876751 = queryWeight, product of:
              1.8775425 = idf(docFreq=18385, maxDocs=44218)
              0.047278564 = queryNorm
            0.27441877 = fieldWeight in 5204, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.8775425 = idf(docFreq=18385, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5204)
        0.11301481 = weight(_text_:computing in 5204) [ClassicSimilarity], result of:
          0.11301481 = score(doc=5204,freq=4.0), product of:
            0.26151994 = queryWeight, product of:
              5.5314693 = idf(docFreq=475, maxDocs=44218)
              0.047278564 = queryNorm
            0.43214604 = fieldWeight in 5204, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.5314693 = idf(docFreq=475, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5204)
      0.5 = coord(2/4)
    
    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.
    Content
    Introduction.- Ontology Development.- Compliance using Metadata.- Variety Management for Big Data.- Text Mining in Economics.- Generation of Natural Language Texts.- Sentiment Analysis.- Building Concise Text Corpora from Web Contents.- Ontology-Based Modelling of Web Content.- Personalized Clinical Decision Support for Cancer Care.- Applications of Temporal Conceptual Semantic Systems.- Context-Aware Documentation in the Smart Factory.- Knowledge-Based Production Planning for Industry 4.0.- Information Exchange in Jurisdiction.- Supporting Automated License Clearing.- Managing cultural assets: Implementing typical cultural heritage archive's usage scenarios via Semantic Web technologies.- Semantic Applications for Process Management.- Domain-Specific Semantic Search Applications.
    LCSH
    Management of Computing and Information Systems
    Subject
    Management of Computing and Information Systems