Using semantic values to facilitate interoperability among heterogeneous information systems
ACM Transactions on Database Systems (TODS)
DAML+OIL: An Ontology Language for the Semantic Web
IEEE Intelligent Systems
The Semantic Web: A Guide to the Future of XML, Web Services, and Knowledge Management
The Semantic Web: A Guide to the Future of XML, Web Services, and Knowledge Management
Data Management Challenges and Development for Military Information Systems
IEEE Transactions on Knowledge and Data Engineering
Retrieval effectiveness of an ontology-based model for information selection
The VLDB Journal — The International Journal on Very Large Data Bases
Infodynamics: Analogical analysis of states of matter and information
Information Sciences: an International Journal
Content-based ontology matching for GIS datasets
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Validating Multi-column Schema Matchings by Type
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
A retrospective analysis of Teletext: An interoperability standard evolving already over 30 years
Advanced Engineering Informatics
A developer's view of application servers interoperability
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part II
Hi-index | 0.00 |
''Global Interoperability Using Semantics, Standards, Science and Technology'' is a concept that is predicated on the assumption that the semantic integration, frameworks and standards that support information exchange, and advances in science and technology can enable information-systems interoperability for many diverse users. This paper recommends technologies and approaches for enabling interoperability across a wide spectrum of political, geographical, and organizational levels, e.g. coalition, federal, state, tribal, regional, non government, and private. These recommendations represent steps toward the goal of the Semantic Web, where computers understand information on web sites through knowledge representations, agents, and ontologies.