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    STUDIA INFORMATICA - Issue no. Sp.Issue 1 / 2009  
         
  Article:   KNOWLEDGE ACQUISITION FROM HISTORICAL DOCUMENTS.

Authors:  IOAN SALOMIE, MIHAELA DINSOREANU, CRISTINA POP, SORIN SUCIU.
 
       
         
  Abstract:  In this paper we present an intelligent system that performs knowledge acquisition from historical documents. Through knowledge acquisition, the content of documents is semantically annotated and the domain ontology is enriched. The paper describes the analysis of the document corpus and the steps for creating the core of the domain ontology as prerequisites of the knowledge acquisition process. Lexical annotation and knowledge extraction are based on domain-dependent components that include rules for extracting the relevant information from the document''s content and knowledge acquisition rules, for mapping the extracted information to ontology concepts and properties. Our work was validated on documents addressing the medieval history of Transylvania, proving to be an efficient approach to knowledge retrieval as response to ontologically-guided agent queries.

Key words and phrases. ontology core, historical documents, semantic annotation, knowledge acquisition, knowledge retrieval.


 
         
     
         
         
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