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» Ontologies and databases: myths and challenges
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DASFAA
2007
IEEE
187views Database» more  DASFAA 2007»
15 years 4 months ago
OntoDB: An Ontology-Based Database for Data Intensive Applications
Recently, several approaches and systems were proposed to store in the same database data and the ontologies describing their meanings. We call these databases, ontology-based data...
Dehainsala Hondjack, Guy Pierra, Ladjel Bellatrech...
SIGMOD
2005
ACM
140views Database» more  SIGMOD 2005»
15 years 10 months ago
Artemis message exchange framework: semantic interoperability of exchanged messages in the healthcare domain
One of the most challenging problems in the healthcare domain is providing interoperability among healthcare information systems. In order to address this problem, we propose the ...
Veli Bicer, Gokce Laleci, Asuman Dogac, Yildiray K...
DEXAW
2007
IEEE
137views Database» more  DEXAW 2007»
15 years 4 months ago
ENIO: An Enterprise Application Integration Ontology
If we try to increase the level of automation in Enterprise Application Integration (EAI) scenarios, we confront challenges related to the resolution of data heterogeneities, serv...
Athanasios Bouras, Panagiotis Gouvas, Gregoris Men...
ER
2010
Springer
104views Database» more  ER 2010»
14 years 8 months ago
Provenance Management in BioSciences
: Data provenance is becoming increasingly important for biosciences with the advent of large-scale collaborative environments such as the iPlant collaborative, where scientists co...
Sudha Ram, Jun Liu
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ESCIENCE
2005
IEEE
15 years 3 months ago
A Grid Environment for Data Integration of Scientific Databases
Effective integration of heterogeneous data sources has been studied as the most pressing challenge in various fields; such as, high energy physics, astronomy, and life sciences. ...
Hideo Matsuda