An Ontological Model of an Information System
IEEE Transactions on Software Engineering
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Anchoring data quality dimensions in ontological foundations
Communications of the ACM
Choosing classes in conceptual modeling
Communications of the ACM
Using objects for systems analysis
Communications of the ACM
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Emancipating instances from the tyranny of classes in information modeling
ACM Transactions on Database Systems (TODS)
The Semantic Web: The Roles of XML and RDF
IEEE Internet Computing
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
Ontology mapping: the state of the art
The Knowledge Engineering Review
Ontology based object-oriented domain modelling: fundamental concepts
Requirements Engineering
A semiotic metrics suite for assessing the quality of ontologies
Data & Knowledge Engineering - Special issue: Natural language and database and information systems: NLDB 03
Journal of Software Maintenance and Evolution: Research and Practice
Research on the Building and Reasoning of Travel Ontology
IITAW '08 Proceedings of the 2008 International Symposium on Intelligent Information Technology Application Workshops
Theoretical foundations for conceptual modelling in information systems development
Decision Support Systems
Crowdsourcing systems on the World-Wide Web
Communications of the ACM
Conceptual modeling principles for crowdsourcing
Proceedings of the 1st international workshop on Multimodal crowd sensing
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Domain ontologies can promote shared understanding of a domain using standardized constructs to represent domain semantics. Building upon this promise, libraries of domain-specific ontologies have been created. However, we argue that adopting any particular domain ontology can in fact hinder domain understanding and reduce the quality of data made available through a shared ontology. This paper examines unintended consequences of class-based ontological commitment and advocates instead an instance-andproperty ontological foundation. The proposed approach can better inform the practice of information sharing and can, in participative domains, enable users to contribute higher quality information with fewer constraints.