Authors:
Silvio Domingos Cardoso
1
;
Chantal Reynaud-Delaître
2
;
Marcos Da Silveira
1
;
Ying-Chi Lin
3
;
Anika Groß
3
;
Erhard Rahm
3
and
Cedric Pruski
1
Affiliations:
1
LIST and Luxembourg Institute of Science and Technology, Luxembourg
;
2
University of Paris-Sud XI, France
;
3
Universität Leipzig, Germany
Keyword(s):
Semantic Annotation, Annotation Maintenance, Ontology Evolution, Life Sciences.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Semantic Interoperability
;
Society, e-Business and e-Government
;
Web Information Systems and Technologies
Abstract:
Semantic annotations are often used to enrich documents as clinical trials and electronic health records. However,
the usability of these annotations tends to decrease over time due to the evolution of the domain ontologies.
The maintenance of these annotations is critical for tools that exploit them (e.g., search engines and
decision support systems) in order to assure an acceptable level of performance. Despite the recent advances
in ontology evolution systems, the maintenance of semantic annotations remains an open problem. In this paper,
we introduce, based on previous experiments, the main components of a multi-level approach towards the
automatic maintenance of semantic annotations. We further provide examples for strengthening our proposal.
