The Format Model: A Theory of database Organization
Journal of the ACM (JACM)
IFO: a formal semantic database model
ACM Transactions on Database Systems (TODS)
Entity modeling: techniques and application
Entity modeling: techniques and application
Part-whole relations in object-centered systems: an overview
Data & Knowledge Engineering - Special issue on modeling parts and wholes
UML distilled: applying the standard object modeling language
UML distilled: applying the standard object modeling language
Database description with SDM: a semantic database model
ACM Transactions on Database Systems (TODS)
Database abstractions: aggregation and generalization
ACM Transactions on Database Systems (TODS)
Data Modeling Essentials, 2nd Edition: A Comprehensive Guide to Data Analysis, Design, and Innovation
The description logic handbook
OntoFIS as a NLP resource in the drug-therapy domain: design issues and solutions applied
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
The language of folksonomies: what tags reveal about user classification
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
Extending context descriptions in semantics-aware access control
ICISS'06 Proceedings of the Second international conference on Information Systems Security
RDFreduce: Customized Aggregations with Provenance for RDF Data based on an Industrial Use Case
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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Data modeling for Web Applications needs to be guided not only by the specific requirements of a particular application, but also by the goal of maximizing interoperability between systems. This necessitates the adoption of widely accepted design methods and a set of rich, theoretically motivated principles for organizing data in ontologies. This paper presents one set of such principles. It is based on the observation that current ontologies emphasize the abstraction mechanism of generalization but ignore the various forms of aggregation. We explore possible techniques for modeling aggregation with OWL, investigate the semantics of aggregation, and consider the merits of aggregation over generalization for modeling knowledge in particular situations.