ArhiNet – A Knowledge-Based System for Creating, Processing and Retrieving Archival eContent

  • Ioan Salomie
  • Mihaela Dinsoreanu
  • Cristina Pop
  • Sorin Suciu
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 45)


This paper addresses the problem of creating, processing and querying semantically enhanced eContent from archives and digital libraries. We present an analysis of the archival domain, resulting in the creation of an archival domain model and of a domain ontology core. Our system adds semantic mark-up to the historical documents content, thus enabling document and knowledge retrieval as response to natural language ontology-guided queries. The system functionality follows two main workflows: (i) semantically enhanced eContent generation and knowledge acquisition and (ii) knowledge processing and retrieval. Within the first workflow, the relevant domain information is extracted from documents written in natural languages, followed by semantic annotation and domain ontology population. In the second workflow, ontologically guided natural language queries trigger reasoning processes that provide relevant search results. The paper also discusses the transformation of the OWL domain ontology into a hierarchical data model, thus providing support for the efficient ontology processing.


Archival domain model and ontology Knowledge acquisition Hierarchical data model Semantic annotation Ontology guided query Reasoning 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Ioan Salomie
    • 1
  • Mihaela Dinsoreanu
    • 1
  • Cristina Pop
    • 1
  • Sorin Suciu
    • 1
  1. 1.Department of Computer ScienceTechnical University of Cluj-NapocaCluj-NapocaRomania

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