Issues and approaches of database integration
Communications of the ACM
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Consistent Integration of Formal Methods
TACAS '00 Proceedings of the 6th International Conference on Tools and Algorithms for Construction and Analysis of Systems: Held as Part of the European Joint Conferences on the Theory and Practice of Software, ETAPS 2000
Global Schema Generation Using Formal Ontologies
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Streams, structures, spaces, scenarios, societies (5s): A formal model for digital libraries
ACM Transactions on Information Systems (TOIS)
Semantics-Aware Resolution of Multi-part Persistent Indentifiers
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Semantics-aware matching strategy (SAMS) for the Ontology meDiated Data Integration (ODDI)
International Journal of Knowledge Engineering and Soft Data Paradigms
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Nowadays the World Wide Web has become the most important platform for publishing scientific materials. The first advantages of online publication are instant access and easy, low-cost, distribution and duplication. But of great impact in middle term success of electronic publication is the availability of systems that support citation and metrics to evaluate the performances of the different actors in the scientific sector. EPICA is an new infrastructure technology supporting integration of uniform and persistent naming systems and declarative expression of metrics used to asses performances. This way independent actors are allowed to cooperate in a common infrastructure. The key element to support this integration is the semantic mapping between metrics and scientific publications available in the Web. This paper discusses this vision and proposes preliminary results related to the definition of a Metrics Assessment Data Model to express this semantic mapping.