Classical mereology and restricted domains
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Part-whole relations in object-centered systems: an overview
Data & Knowledge Engineering - Special issue on modeling parts and wholes
Advanced object-oriented analysis and design using UML
Advanced object-oriented analysis and design using UML
On the Translation of Qualitative Spatial Reasoning Problems into Modal Logics
KI '99 Proceedings of the 23rd Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Representing topological relationships among heterogeneous geometry-collection features
Journal of Computer Science and Technology
Representing and reasoning over a taxonomy of part-whole relations
Applied Ontology - Ontological Foundations of Conceptual Modelling
Computational ontologies of parthood, componenthood, and containment
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A model for classification of topological relationships between two spatial objects
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
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
Guided entity reuse and class expression generator
Proceedings of the seventh international conference on Knowledge capture
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Representing and reasoning over mereotopological relations (parthood and location) in an ontology is a well-known challenge, because there are many relations to choose from and OWL has limited expressiveness in this regard. To address these issues, we structure mereotopological relations based on the KGEMT mereotopological theory. A correctly chosen relation counterbalances some weaknesses in OWL's representation and reasoning services. To achieve effortless selection of the appropriate relation, we hide the complexities of the underlying theory through automation of modelling guidelines in the new tool OntoPartS. It uses, mainly, the categories from DOLCE [12], which avoids lengthy question sessions, and it includes examples and verbalizations. OntoPartS was experimentally evaluated, which demonstrated that selecting and representing the desired relation was done efficiently and more accurately with OntoPartS.