Search (2 results, page 1 of 1)

  • × subject_ss:"Computer science"
  • × subject_ss:"Information Retrieval"
  1. Semantic applications (2018) 0.02
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    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
    Data mining
    Data Mining and Knowledge Discovery
    RSWK
    Data Mining
    Subject
    Data Mining
    Data mining
    Data Mining and Knowledge Discovery
  2. Crestani, F.; Mizzaro, S.; Scagnetto, I,: Mobile information retrieval (2017) 0.01
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    LCSH
    Text processing (Computer science)
    Subject
    Text processing (Computer science)