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Knowledge Acquisition and Processing System for Romanian Historical Documents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
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 Through knowledge acquisition, the relevant information is extracted from historical documents and structured as a domain ontology.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knowledge acquisition; ontologies (artificial intelligence); query processing; ArhiNet; Romanian historical documents; automatic reasoning; cultural heritage preservation; domain ontology; knowledge acquisition; knowledge engineers; knowledge processing; knowledge retrieval;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eContent; user queries; Data mining; Databases; Grammar; Knowledge acquisition; Natural languages; OWL; Ontologies; historical documents; knowledge acquisition; knowledge retrieval; ontology; reasoning;
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
DOI :
10.1109/SYNASC.2010.68