• DocumentCode
    2536808
  • Title

    Knowledge Acquisition and Processing System for Romanian Historical Documents

  • Author

    Salomie, Ioan ; Dinsoreanu, Mihaela ; Pop, Cristina Bianca ; Lar, Razvan

  • Author_Institution
    Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    194
  • Lastpage
    201
  • Abstract
    This paper presents ArhiNet, an integrated system for generating, processing and querying semantically enhanced archival eContent related to the middle age history of Transylvania, targeting cultural heritage preservation. The main workflows of the system aim to perform semantically enhanced eContent generation and knowledge acquisition, as well as knowledge processing and retrieval. Through knowledge acquisition, the relevant information is extracted from historical documents and structured as a domain ontology. In knowledge processing, the extracted ontological information is further processed and enhanced both through automatic reasoning and with the help of knowledge engineers. Finally, through knowledge retrieval, relevant documents and information are provided in response to natural language guided user queries.
  • Keywords
    knowledge acquisition; ontologies (artificial intelligence); query processing; ArhiNet; Romanian historical documents; automatic reasoning; cultural heritage preservation; domain ontology; knowledge acquisition; knowledge engineers; knowledge processing; knowledge retrieval; natural language; ontological information; semantically enhanced archival eContent; user queries; Data mining; Databases; Grammar; Knowledge acquisition; Natural languages; OWL; Ontologies; historical documents; knowledge acquisition; knowledge retrieval; ontology; reasoning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2010 12th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4244-9816-1
  • Type

    conf

  • DOI
    10.1109/SYNASC.2010.68
  • Filename
    5715287