Abstract
In this paper, we describe a set of software tools called the PRIDE ONTOlogy Editor (PRONTOE) and a methodology that allows system operators and domain experts to build and maintain ontologies of their systems with no explicit understanding of the underlying ontology representation. We present three case studies: one using NASA flight controllers, one using the DARPA Robotic Challenge, and one using unmanned vehicles.
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Acknowledgements
This work is funded by a NASA Small Business Innovation Research (SBIR) grant. The authors grateful to Dr. Jeremy Frank of NASA Ames Research Center for his help with this project. The authors also wish to thank the numerous NASA flight controllers who have worked with us over the last several years to get the correct data into our ontology. Kevin Kusy was instrumental in creating import scripts for external databases. The development of an ontology of robot affordances for the simulated Atlas robot was funded under a DARPA Phase I Small Business Technology Transfer (STTR) contract.
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Bell, S., Bonasso, P., Boddy, M., Kortenkamp, D., Schreckenghost, D. (2015). PRONTOE: An Ontology Editor for Domain Experts. In: Fred, A., Dietz, J., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2013. Communications in Computer and Information Science, vol 454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46549-3_10
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DOI: https://doi.org/10.1007/978-3-662-46549-3_10
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