Knowledge Processes and Ontologies
IEEE Intelligent Systems
Representing and reasoning over a taxonomy of part-whole relations
Applied Ontology - Ontological Foundations of Conceptual Modelling
Applied Ontology - Towards a Metaontology for the Biomedical Domain
Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization
Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization
Towards an User-Friendly Ontology Design Methodology
I-ESA '09 Proceedings of the 2009 International Conference on Interoperability for Enterprise Software and Applications China
Semantic foundations of medical information systems based on top-level ontologies
Knowledge-Based Systems
Dependencies between ontology design parameters
International Journal of Metadata, Semantics and Ontologies
Part-Whole relations in object-role models
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Factors affecting ontology development in ecology
DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
Transforming semi-structured life science diagrams into meaningful domain ontologies with DiDOn
Journal of Biomedical Informatics
ONSET: automated foundational ontology selection and explanation
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Guided entity reuse and class expression generator
Proceedings of the seventh international conference on Knowledge capture
Toward semantic interoperability with linked foundationalontologies in ROMULUS
Proceedings of the seventh international conference on Knowledge capture
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Hi-index | 0.00 |
There is an assumption that ontology developers will use a top-down approach by using a foundational ontology, because it purportedly speeds up ontology development and improves quality and interoperability of the domain ontology. Informal assessment of these assumptions reveals ambiguous results that are not only open to different interpretations but also such that foundational ontology usage is not foreseen in most methodologies. Therefore, we investigated these assumptions in a controlled experiment. After a lecture about DOLCE, BFO, and partwhole relations, one-third chose to start domain ontology development with an OWLized foundational ontology. On average, those who commenced with a foundational ontology added more new classes and class axioms, and significantly less object properties than those who started from scratch. No ontology contained errors regarding part-of vs. is-a. The comprehensive results show that the 'cost' incurred spending time getting acquainted with a foundational ontology compared to starting from scratch was more than made up for in size, understandability, and interoperability already within the limited time frame of the experiment.