Publications

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Conference Papers
R. Mutharaju, How I Would Like Semantic Web To Be, For My Children, in What will the Semantic Web look like 10 years from now? co-located with the 11th International Semantic Web Conference 2012 (ISWC 2012), Boston, MA, USA, 2012.PDF icon SemanticWeb-10yrs-SW2022.pdf (103.93 KB)
P. Hitzler, Grand Challenge: From Big Data to Knowledge, in Final Report on the 2013 NSF Workshop on Research Challenges and Opportunities in Knowledge Representation, Arlington, VA, 2013.PDF icon KRChallengesAndOpprtunities-FinalReport-NSF2013.pdf (3.67 MB)
Y. Hu, Janowicz, K., Carral, D., Scheider, S., Kuhn, W., Berg-Cross, G., Hitzler, P., Dean, M., and Kolas, D., A Geo-ontology Design Pattern for Semantic Trajectories, in Spatial Information Theory - 11th International Conference, COSIT 2013, Scarborough, UK, September 2-6, 2013. Proceedings, 2013, pp. 438–456.PDF icon A Geo-Ontology Design Pattern for Semantic Trajectories.pdf (1.49 MB)
A. Krisnadhi, Hu, Y., Janowicz, K., Hitzler, P., Arko, R., Carbotte, S., Chandler, C., Cheatham, M., Fils, D., Finin, T., Ji, P., Jones, M., Karima, N., Lehnert, K., Mickle, A., Narock, T., O'Brien, M., Raymond, L., Shepherd, A., Schildhauer, M., and Wiebe, P., The GeoLink Modular Oceanography Ontology, in The Semantic Web - ISWC 2015. 14th International Semantic Web Conference, Bethlehem, Pennsylvania, United States, October 11-15, 2015, 2015.
R. Amini, Zhou, L., and Hitzler, P., GeoLink Cruises: A Non-Synthetic Benchmark for Co-Reference Resolution on Knowledge Graphs, in International conference on information and knowledge management, 2020.PDF icon GeoLink_Cruise_authorversion.pdf (470.84 KB)
Z. A. Daniels, Frank, L. D., Menart, C. J., Raymer, M., and Hitzler, P., A Framework for Explainable Deep Neural Models Using External Knowledge Graphs, in Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, SPIE, 2020.
P. Jain, Hitzler, P., and Sheth, A. P., Flexible Bootstrapping-Based Ontology Alignment, in Proceedings of the 5th International Workshop on Ontology Matching (OM-2010), Shanghai, China, November 7, 2010, Shanghai, China, 2010, vol. 689.PDF icon Flexible-Bootstrapping-OM2010.pdf (62.43 KB)
M. Cheatham, Harlow, F., and Cleereman, K., Feature Selection for Collaborative Team Formation via Social Network Analysis, in International Conference on Data Mining, Las Vegas, NV, 2007.PDF icon FeatureSelectionforCollaborativeTeam.pdf (338.71 KB)
M. Cheatham and Rizki, M., Feature and Prototype Evolution for Nearest Neighbor Classification of Web Documents, in International Conference on Information Technology - New Generations, Las Vegas, NV, 2006.PDF icon Cheatham.pdf (154.98 KB)
Q. Hirt, Shimizu, C., and Hitzler, P., Extensions to the Ontology Design Pattern Representation Language, in Proceedings of the 10th Workshop on Ontology Design and Patterns (WOP 2019) co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 27, 2019, 2019, vol. 2459, pp. 76–75.PDF icon short2.pdf (365.65 KB)
C. Feier, Carral, D., Stefanoni, G., Grau, B. Cuenca, and Horrocks, I., Extending the Combined Approach Beyond Lightweight Description Logics, in Proceedings of the 28th International Workshop on Description Logics (DL), 2015.PDF icon QA beyond Lightweight DLs.pdf (479.6 KB)
D. Carral and Hitzler, P., Extending Description Logic Rules, in The Semantic Web: Research and Applications - 9th Extended Semantic Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31, 2012. Proceedings, 2012, pp. 345–359.PDF icon Extending Description Logic Rules.pdf (360.84 KB)
A. Eberhart, Shimizu, C. M., Chowdhury, S., Sarker, M. K., and Hitzler, P., Expressibility of OWL Axioms with Patterns, in The Semantic Web – 18th International Conference, ESWC 2021, 2021, pp. 230-245.PDF icon 2021-ESWC-Expressebility-of-owl-axioms-and-patterns.pdf (357.95 KB)
A. Eberhart, Shimizu, C., Chowdhury, S., Sarker, M. K., and Hitzler, P., Expressibility of OWL Axioms with Patterns, in ESWC 2021, 2021.PDF icon Expressibility_of_OWL_ Axioms_with_Patterns.pdf (357.95 KB)
A. F. Smeaton, Graham, Y., McGuinness, K., O'Connor, N. E., Quinn, S., and Sanchez, E. Arazo, Exploring the Impact of Training Data Bias on Automatic Generation of Video Captions, in MultiMedia Modeling, Cham, 2019, pp. 178–190.

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