A classification of semantic conflicts in heterogeneous database systems
WITS '92 Selected papers of the workshop on Information technologies and systems
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Using explicit ontologies in KBS development
International Journal of Human-Computer Studies
Data quality: the field guide
Principles of the Business Rule Approach
Principles of the Business Rule Approach
Ontologies for conceptual modeling: their creation, use, and management
Data & Knowledge Engineering
A Metadata Approach to Resolving Semantic Conflicts
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
GWAI '92 Proceedings of the 16th German Conference on Artificial Intelligence: Advances in Artificial Intelligence
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Information Systems - Special issue: Data management in bioinformatics
UML Distilled: A Brief Guide to the Standard Object Modeling Language
UML Distilled: A Brief Guide to the Standard Object Modeling Language
Exploratory Data Mining and Data Cleaning
Exploratory Data Mining and Data Cleaning
Representing and reasoning about semantic conflicts in heterogeneous information systems
Representing and reasoning about semantic conflicts in heterogeneous information systems
A proposal for an owl rules language
Proceedings of the 13th international conference on World Wide Web
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
AOW '06 Proceedings of the second Australasian workshop on Advances in ontologies - Volume 72
Ten Challenges for Ontology Matching
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
Query Answering for OWL-DL with rules
Web Semantics: Science, Services and Agents on the World Wide Web
Reconciling description logics and rules
Journal of the ACM (JACM)
A multiple-domain ontology builder
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
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Biomedical domain and proteomics in particular are faced with an increasing volume of data. The heterogeneity of data sources implies heterogeneity in the representation and in the content of data. Data may also be incorrect, implicate errors and can compromise the analysis of experiments results. Our approach aims to ensure the initial quality of data during import into an information system dedicated to proteomics. It is based on the joint use of models, which represent the system sources, and ontologies, which are use as mediators between them. The controls, we propose, ensure the validity of values, semantics and data consistency during import process.