Extending and formalizing the framework for information systems architecture
IBM Systems Journal
A framework for information systems architecture
IBM Systems Journal
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Entity-Relationship Modeling: Foundations of Database Technology
Entity-Relationship Modeling: Foundations of Database Technology
Supporting Fine-grained Data Lineage in a Database Visualization Environment
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Linguistic based search facilities in snowflake-like database schemes
Data & Knowledge Engineering - NLDB2002
Survey of semantic annotation platforms
Proceedings of the 2005 ACM symposium on Applied computing
Conceptual modelling of web information systems
Data & Knowledge Engineering
ULDBs: databases with uncertainty and lineage
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Pragmatics of storyboarding for web information systems: usage analysis
International Journal of Web and Grid Services
The Conceptual Framework To User-Oriented Content Management
Proceedings of the 2007 conference on Information Modelling and Knowledge Bases XVIII
Engineering database component ware
TEAA'06 Proceedings of the 2nd international conference on Trends in enterprise application architecture
Towards a theory of genericity based on government and binding
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
Knowledge Modeling, Management and Utilization towards Next Generation Web
Proceedings of the 2010 conference on Information Modelling and Knowledge Bases XXI
Future Directions of Knowledge Systems Environments for Web 3.0
Proceedings of the 2011 conference on Information Modelling and Knowledge Bases XXII
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Content management is the process of handling information within an organization or community. Therefore, content management systems have to provide generic functionality for generation, extraction, storage, and exchange of digital assets. Because of the heterogeneity and complexity of content, a sufficient semantical and user-oriented annotation of content is crucial. Although semantical annotation by metadata and ontologies together with reasoning support has been extensively studied for a long time, commercially available content management systems provide only basic support for semantic modelling. Conceptual aspects of content users and support of user specific intensions are neglected. In this paper we will analyze the mismatch between the requirements of content management and semantical description and propose a data model for content which treats semantic information not only as describing metadata but incorporates the data itself, the intension behind the data, the usage of data and the origin of data on the same level.