Abstract
The increasing volume and complexity of scientific research data associated with its semantic heterogeneity demands strategies to enable data integrated reuse. This is essential to improve global collaborations, in what has been called e-Science. A way to promote data integration is through the use of ontologies. Ontologies can play the role of a shared conceptualization, providing a common semantic background for data interpretation. In the case of scientific research, particularly empirical research, there are many concepts related to research activities that are general, despite any specific domain in which they may occur. Thus, they can be represented by means of a core ontology. In this paper, we propose the design of a core ontology to deal with research activities (e.g., sampling and measurement). As the concepts used are neutral with respect to different application domains, they can be reused to build ontologies for specific research domains, speeding up the development process. To illustrate this, we present an environmental research ontology developed based on this core ontology. The proposed core ontology is grounded in the Unified Foundational Ontology (UFO), which provides a solid basis for its key elements.
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Acknowledgements
This work is partly supported by CNPq (407235/2017-5 and 312123/2017-5), CAPES (23038.028816/2016-41) and FAPES (69382549).
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Campos, P.M.C., Reginato, C.C., Almeida, J.P.A. (2019). Towards a Core Ontology for Scientific Research Activities. In: Guizzardi, G., Gailly, F., Suzana Pitangueira Maciel, R. (eds) Advances in Conceptual Modeling. ER 2019. Lecture Notes in Computer Science(), vol 11787. Springer, Cham. https://doi.org/10.1007/978-3-030-34146-6_1
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