Publications

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2018
A. Eberhart, Cheatham, M., and Hitzler, P., “Pseudo-Random ALC Syntax Generation”, in The Semantic Web: ESWC 2018 Satellite Events - ESWC 2018 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers, Heraklion, Crete, Greece, 2018, vol. 11155, pp. 19–22.PDF icon Pseudo_Random_ALC_Syntax_Generation.pdf (134.95 KB)
M. Ebrahimi, Sarker, M. K., Bianchi, F., Xie, N., Doran, D., and Hitzler, P., “Reasoning over RDF Knowledge Bases using Deep Learning”, arXiv preprint arXiv:1811.04132, 2018.
S. Borgo and Hitzler, P., “Some Open Issues After Twenty Years of Formal Ontology”, in FOIS 2018, 2018.
P. Hitzler and Krisnadhi, A. A., “A Tutorial on Modular Ontology Modeling with Ontology Design Patterns: The Cooking Recipes Ontology”. 2018.PDF icon mom-recipes-example.pdf (1.15 MB)
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. 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)
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)
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)
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)
C. Shimizu, Hitzler, P., and Horridge, M., “Rendering OWL in Description Logic Syntax”, in ESWC 2017, Heidelberg, 2017.PDF icon 2017-eswc-latex.pdf (275.1 KB)
M. K. Sarker, Krisnadhi, A., Carral, D., and Hitzler, P., “Rule-based OWL Modeling with ROWLTab Protege Plugin”. 2017.PDF icon main.pdf (423.27 KB)

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