Contexts: a formalization and some applications
Contexts: a formalization and some applications
ACM Computing Surveys (CSUR)
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Defeasible logic programming: an argumentative approach
Theory and Practice of Logic Programming
ε-connections of abstract description systems
Artificial Intelligence
Bridging the gap between OWL and relational databases
Proceedings of the 16th international conference on World Wide Web
Rules and Ontologies for the Semantic Web
Reasoning Web
Reasoning with a Network of Aligned Ontologies
RR '08 Proceedings of the 2nd International Conference on Web Reasoning and Rule Systems
Supporting manual mapping revision using logical reasoning
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Reasoning with inconsistent ontologies
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A formal investigation of mapping language for terminological knowledge
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
On the semantics of linking and importing in modular ontologies
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
DRAGO: distributed reasoning architecture for the semantic web
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
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The need for semantics preserving integration of complex data has been widely recognized in the healthcare domain. While standards such as Health Level Seven (HL7) have been developed in this direction, they have mostly been applied in limited, controlled environments, still being used incoherently across countries, organizations, or hospitals. In a more mobile and global society, data and knowledge are going to be commonly exchanged between various systems at Web scale. Specialists in this domain have increasingly argued in favor of using Semantic Web technologies for modeling healthcare data in a well formalized way. This paper provides a reality check in how far current Semantic Web standards can tackle interoperability issues arising in such systems driven by the modeling of concrete use cases on exchanging clinical data and practices. Recognizing the insufficiency of standard OWL to model our scenario, we survey theoretical approaches to extend OWL by modularity and context towards handling heterogeneity in Semantic-Web-enabled health care and life sciences (HCLS) systems. We come to the conclusion that none of these approaches addresses all of our use case heterogeneity aspects in its entirety. We finally sketch paths on how better approaches could be devised by combining several existing techniques.