Publications

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2016
M. Cheatham, Shimizu, C., Ferguson, H., and Vardeman, C., “Use case for the Modified Hazardous Situation ODP”. 2016.Binary Data MHS_Instance.owl (7.73 KB)
2017
K. Hammar, Hitzler, P., Lawrynowicz, A., Krisnadhi, A., Nuzzolese, A., and Solanki, M., Advances in Ontology Design and Patterns, vol. 32. Amsterdam: IOS Press, 2017.
M. Ebrahimi, Yazdavar, A. Hossein, and Sheth, A., “Challenges of Sentiment Analysis for Dynamic Events”. 2017.
M. Ebrahimi, Yazdavar, A. Hossein, and Sheth, A., “On the Challenges of Sentiment Analysis for Dynamic Events”, IEEE Intelligent Systems, 2017.
M. Cheatham, Vardeman, C., Karima, N., and Hitzler, P., “Computational Environment: An ODP to Support Finding and Recreating Computational Analyses”, in 8th Workshop on Ontology Design and Patterns - WOP2017, 2017.PDF icon wop2017-comp-env.pdf (1.05 MB)
A. A. Krisnadhi and Hitzler, P., “A Core Pattern for Events”, in Advances in Ontology Design and Patterns, Amsterdam: IOS Press, 2017.PDF icon 2016-wop-events.pdf (252.85 KB)
D. Carral, “Efficient Reasoning Algorithms for Fragments of Horn Description Logics”, Wright State University, Dayton, 2017.PDF icon PhD Dissertation Carral.pdf (578.29 KB)
M. K. Sarker, Xie, N., Doran, D., Raymer, M., and Hitzler, P., “Explaining Trained Neural Networks with Semantic Web Technologies: First Steps”, Twelveth International Workshop on Neural-Symbolic Learning and Reasoning, NeSy. London, UK, 2017.PDF icon 2017-nesy-xai.pdf (2.09 MB)
D. Carral, Hitzler, P., Lapp, H., and Rudolph, S., “On the Ontological Modeling of Trees”, in 8th Workshop on Ontology Design and Patterns - WOP2017, 2017.PDF icon wop2017-trees.pdf (495.86 KB)
C. Vardeman, Krisnadhi, A., Cheatham, M., Janowicz, K., Ferguson, H., Hitzler, P., and Buccellato, A., “An Ontology Design Pattern and Its Use Case for Modeling Material Transformation”, Semantic Web, vol. 8, no. 5, p. 731, 2017.PDF icon swj1303.pdf (3.91 MB)
C. Shimizu and Cheatham, M., “An Ontology Design Pattern for Microblog Entries”, in 8th Workshop on Ontology Design and Patterns (WOP2017), 2017.PDF icon paper.pdf (1.36 MB)
M. Labaf, “ Propositional rule extraction from neural networks under background knowledge”, in Twelfth International Workshop on Neural-Symbolic Learning and Reasoning, 2017.PDF icon main.pdf (270.11 KB)
M. Labaf, Hitzler, P., and Evans, A. B., “Propositional Rule Extraction from Neural Networks under Background Knowledge”, 2017.PDF icon MastreThesis.pdf (587.2 KB)
K. Gunaratna, Yazdavar, A. Hossein, Thirunarayan, K., Sheth, A., and Cheng, G., “Relatedness-based Multi-Entity Summarization”, in IJCAI, 2017.
N. Xie, Sarker, M. K., Doran, D., Hitzler, P., and Raymer, M., “Relating Input Concepts to Convolutional Neural Network Decisions”, NIPS 2017 Workshop: Interpreting, Explaining and Visualizing Deep Learning, NIPS IEVDL 2017. NIPS, CA, USA, 2017.PDF icon Relating Input Concepts to Convolutional Neural Network Decisions.pdf (2.35 MB)

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