Abstract
Reuse has been pointed out as a promising approach for Ontology Engineering. Reuse in ontologies allows speeding up the development process and improves the quality of the resulting ontologies. The use of patterns as an approach to encourage reuse has been explored in Ontology Engineering. An Ontology Pattern (OP) captures a solution for a recurring modeling problem. Very closely related OPs can be arranged in an Ontology Pattern Language (OPL). An OPL establishes relationships between the patterns and provides a process guiding the selection and use of them for systematic problem solving. To make it easier using an OPL, the relationships between the patterns and the process for navigating them should be represented in a clear and unambiguous way. A visual notation can be used to provide a visual representation of an OPL, aiming at improving communication. To facilitate understanding an OPL and strengthen its use, this visual notation must be cognitively rich. This paper presents OPL-ML, a visual modeling language for representing OPLs.
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Acknowledgements
This research is funded by the Brazilian Research Funding Agency CNPq (Processes 485368/2013-7 and 461777/2014-2) and FAPES (Process 69382549/2014).
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Quirino, G.K.S., Barcellos, M.P., Falbo, R.A. (2017). OPL-ML: A Modeling Language for Representing Ontology Pattern Languages. In: de Cesare, S., Frank, U. (eds) Advances in Conceptual Modeling. ER 2017. Lecture Notes in Computer Science(), vol 10651. Springer, Cham. https://doi.org/10.1007/978-3-319-70625-2_18
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