Inference and Ontologies

Author:

Ulicny Brian E.,Moskal Jakub J.,Kokar Mieczyslaw M.,Abe Keith,Smith John Kei

Publisher

Springer International Publishing

Reference88 articles.

1. Anagnostopoulos, E. et al. Vol. 418. Studies in Computational Intelligence. Springer Berlin Heidelberg, 2013, pp. 319–360. isbn: 978-3-642-28976-7. doi: 10 . 1007 / 978 - 3 - 642 - 28977 - 4 _ 12. url: http://dx.doi.org/10.1007/978-3-642-28977-4_12

2. Apache Jena. http://jena.apache.org

3. Atkinson, S.R., Beaulne, K., Walker, D., and Hossain, L. “Cyber – Transparencies, Assurance and Deterrence”, International Conference on Cyber Security, 2012

4. Baader, F., McGuinness, D. L., Nardi, D., and Patel-Schneider, P. F. (Eds.). (2010) The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press.

5. Barwise, J., Perry, J. (1983) Situations and Attitudes. Cambridge, MA: MIT Press.

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1. Towards Cybersecurity Risk Assessment Automation: an Ontological Approach;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14

2. Ontology-Based APT Attack Detection and Defense Countermeasures;2022 International Conference on High Performance Big Data and Intelligent Systems (HDIS);2022-12-10

3. Knowledge and Datasets as a Resource for Improving Artificial Intelligence;Lecture Notes in Networks and Systems;2021

4. The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity;Lecture Notes in Computer Science;2019

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