Publications

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Concept-based Explanation
A. Das, Dalal, A., and Hitzler, P., “Hidden Neuron Activation Analysis on Labeled Text Data”, in K-CAP '25: Knowledge Capture Conference 2025, USA, 2025, pp. 206 - 210.PDF icon Hidden Neuron Activation Analysis on Labeled Text Data (546.58 KB)
Concept Induction
A. Dalal, Rayan, R., Barua, A., Vasserman, E. Y., Sarker, K., and Hitzler, P., “On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis”, in 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, 2024.PDF icon 2024_NeSy_CI.pdf (358.13 KB)
A. Dalal, Rayan, R., and Hitzler, P., “Error-margin Analysis for Hidden Neuron Activation Labels”, 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024. Springer , 2024.PDF icon 2024_NeSy_CI_shortPaper.pdf (245.56 KB)
computational complexity
M. Krötzsch, Rudolph, S., and Hitzler, P., “Complexities of Horn Description Logics”, ACM Trans. Comput. Log., vol. 14, p. 2, 2013.PDF icon Hitzler-HornDLs-2013.pdf (764.32 KB)
Y. Ma, Qi, G., Xiao, G., Hitzler, P., and Lin, Z., “Computational Complexity and Anytime Algorithm for Inconsistency Measurement”, International Journal of Software and Informatics, vol. 4, pp. 3–21, 2010.PDF icon CompComplexity-IJSI2010.pdf (478.9 KB)
Complexity
F. Maier, Ma, Y., and Hitzler, P., “Paraconsistent OWL and Related Logics”, Semantic Web, vol. 4, pp. 395–427, 2013.PDF icon paraOWL-2013.pdf (698.73 KB)
CNN
A. Dalal, Rayan, R., Barua, A., Vasserman, E. Y., Sarker, K., and Hitzler, P., “On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis”, in 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, 2024.PDF icon 2024_NeSy_CI.pdf (358.13 KB)
A. Dalal, Rayan, R., and Hitzler, P., “Error-margin Analysis for Hidden Neuron Activation Labels”, 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024. Springer , 2024.PDF icon 2024_NeSy_CI_shortPaper.pdf (245.56 KB)
closed world
A. Krisnadhi, Sengupta, K., and Hitzler, P., “Local Closed World Semantics: Keep it simple, stupid!”, in Proceedings of the 24th International Workshop on Description Logics (DL 2011), Barcelona, Spain, July 13-16, 2011, 2011, vol. 745.
Classification
R. Mutharaju, Hitzler, P., and Mateti, P., “DistEL: A Distributed EL+ Ontology Classifier”, in Proceedings of the 9th International Workshop on Scalable Semantic Web Knowledge Base Systems, co-located with the International Semantic Web Conference (ISWC 2013), Sydney, Australia, 2013, vol. 1046, pp. 17-32.PDF icon SSWS2013_paper2.pdf (436.4 KB)
circumscription
A. Krisnadhi, Sengupta, K., and Hitzler, P., “Local Closed World Semantics: Keep it simple, stupid!”, in Proceedings of the 24th International Workshop on Description Logics (DL 2011), Barcelona, Spain, July 13-16, 2011, 2011, vol. 745.
Biomedical knowledge repository
S. S. Sahoo, Bodenreider, O., Hitzler, P., Sheth, A., and Thirunarayan, K., “Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data”, in Scientific and Statistical Database Management, 22nd International Conference, SSDBM 2010, Heidelberg, Germany, 2010, vol. 6187, pp. 461–470.PDF icon PaCE-SSDBM2010.pdf (810.08 KB)
Biodiversity
D. Carral, Janowicz, K., and Hitzler, P., “A logical geo-ontology design pattern for quantifying over types”, in SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), SIGSPATIAL'12, Redondo Beach, CA, USA, November 7-9, 2012, 2012, pp. 239–248.PDF icon A Logical Geo-Ontology Design Pattern for Quantifying over Types.pdf (227.63 KB)
benchmark
M. Cheatham and Hitzler, P., “Conference v2.0: An uncertain version of the OAEI Conference benchmark”, in 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, 2014, vol. 8797, pp. 148-163.PDF icon iswc14-Michelle-conferenceV2.pdf (347.31 KB)
Background knowledge
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)

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