Sökning: "Semi-structured data"

Visar resultat 1 - 5 av 488 avhandlingar innehållade orden Semi-structured data.

  1. 1. Adaptive Semi-structured Information Extraction

    Författare :Anders Arpteg; Erik Sandewall; Wlodek Kulesza; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Information extraction; Artificial intelligence; Semi-structured data; Reinforced learning; Knowledge management; Computer science; Datavetenskap;

    Sammanfattning : The number of domains and tasks where information extraction tools can be used needs to be increased. One way to reach this goal is to construct user-driven information extraction systems where novice users are able to adapt them to new domains and tasks. LÄS MER

  2. 2. Intelligent semi-structured information extraction : a user-driven approach to information extraction

    Författare :Anders Arpteg; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Artificiell intelligens; Informaitonsåtervinning; Artificial intelligence; Computer science; Datavetenskap;

    Sammanfattning : The number of domains and tasks where information extraction tools can be used needs to be increased. One way to reach this goal is to design user-driven information extraction systems where non-expert users are able to adapt them to new domains and tasks. LÄS MER

  3. 3. Finding, extracting and exploiting structure in text and hypertext

    Författare :Ola Ågren; Jürgen Börstler; Frank Drewes; Maarten de Rijke; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Automatic propagation; CHiC; Data mining; Discrete data; Extraction; Hierarchies; ProT; Rank distribution; S²ProT; Spatial linking; Web mining; Web searching; Computer science; Datalogi; business data processing; administrativ databehandling;

    Sammanfattning : Data mining is a fast-developing field of study, using computations to either predict or describe large amounts of data. The increase in data produced each year goes hand in hand with this, requiring algorithms that are more and more efficient in order to find interesting information within a given time. LÄS MER

  4. 4. From Data to Decision Support in Manufacturing

    Författare :Maja Bärring; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; standards; Industry 4.0; Smart Manufacturing; manufacturing system lifecycle; data-driven decision-making; 5G; digitalization; interoperability;

    Sammanfattning : Digitalization is changing society, industry, and how business is done. For new companies that are more or less born digital, there is the opportunity to use and benefit from the capabilities offered by the new digital technologies, of which data-driven decision-making forms a crucial part. LÄS MER

  5. 5. Reliable autonomus navigation in semi-structured environments using the three-dimensional normal distributions transform (3D-NDT)

    Författare :Todor Dimitrov Stoyanov; Achim Lilienthal; Martin Magnusson; Henrik Andreasson; Michael Beetz; Örebro universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer and Systems Science; Datavetenskap;

    Sammanfattning : .... LÄS MER