Authors:
Ioan Salomie
;
Mihaela Dinsoreanu
;
Cristina Pop
;
Sorin Suciu
;
Tudor Vlad
and
Ioana Iacob
Affiliation:
Technical University of Cluj-Napoca, Romania
Keyword(s):
Archival domain model, Knowledge acquisition, Historical domain ontology, Semantic annotation, Semantic query, Reasoning.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Digital Libraries
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology and the Semantic Web
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
This paper addresses the problem of generating and processing of eContent from archives and digital libraries. We present a system that adds semantic mark-up to the content of historical documents, thus enabling document and knowledge retrieval as response to semantic queries. The system functionality follows two main workflows: eContent generation and knowledge acquisition on one hand and knowledge processing and retrieval on the other hand. 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 queries trigger reasoning processes that provide relevant search results.