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Foundations of the unified modeling language
2FACS'97 Proceedings of the 2nd BCS-FACS conference on Northern Formal Methods
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ACM SIGMOD Record
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PAKM '02 Proceedings of the 4th International Conference on Practical Aspects of Knowledge Management
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IEEE Intelligent Systems
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WWW '03 Proceedings of the 12th international conference on World Wide Web
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IBM Systems Journal
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Advances in Engineering Software
Interoperability among Distributed Overlapping Ontologies--A Fuzzy Ontology Framework
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Supporting ontology-based semantic matching in RDBMS
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Structured Learning of Component Dependencies in AmI Systems
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Context comparison for object fusion
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
ImageNotion: methodology, tool support and evaluation
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Semantic model for knowledge representation in e-business
Knowledge-Based Systems
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OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
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Journal on Data Semantics II
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Journal on Data Semantics V
A learning support tool with clinical cases based on concept maps and medical entity recognition
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Conceptual content management for enterprise web services
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
Data modelling and ontological semantics
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Construction of Domain Ontologies: Sourcing the World Wide Web
International Journal of Intelligent Information Technologies
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In recent years ontologies - shared conceptualizations of some domain - are increasingly seen as the key to further automation of information processing. Although many approaches for representing and applying ontologies have already been devised, they haven't found their way into enterprise applications. In this paper we argue that ontology-based systems lack critical technical features, such as scalability, reliability, concurrency and integration with existing data sources, as well as the support for modularization and meta-concept modeling from the conceptual modeling perspective. We present a conceptual modeling approach that balances some of the trade-offs to more easily integrate into existing enterprise information infrastructure. Our approach is implemented within KAON, the Karlsruhe Ontology and Semantic Web tool suite.