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2023

C. Widmer, Sarker, M. K., Nadella, S., Fiechter, J., Juvina, I., Minnery, B., Hitzler, P., Schwartz, J., and Raymer, M., “Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge”, Journal of Web Semantics, vol. 79:100807, 2023.

Towards_human_compatible_XAI.pdf (1.06 MB)

C. Shimizu, Hitzler, P., Gonzalez-Estrecha, S., Goeke-Smith, J., Rehberger, D., Foley, C., and Sheill, A., “The Wikibase approach to the Enslaved.Org Hub Knowledge Graph”, in The Semantic Web – ISWC 2023 – 22nd International Semantic Web Conference, Athens, Greece, November 6-10, 2023, 2023, vol. Proceedings, Part II. Lecture Notes in Computer Science 14266, Springer 2023, pp. 419-434.

2023-ISWC-enslaved.pdf (858.94 KB)

2022

K. Janowicz, Shimizu, C., Hitzler, P., Mai, G., Stephen, S., Zhu, R., Cai, L., Zhou, L., Schildhauer, M., Liu, Z., Wang, Z., and Shi, M., “Diverse data! Diverse schemata?”, Semantic Web, vol. 13, pp. 1–3, 2022.

sw_2022_13-1_sw-13-1-sw210453_sw-13-sw210453.pdf (61.64 KB)

N. Ammar, Carlson, T., Doubleday, K., Escobar, K., Fuller, N., Grove, M., Handspicker, B., Hardy, D., Heflin, J., Hitzler, P., Israni, S., Jahn, E., Lassila, O., Lebo, T., Li, C., Medlin, C., Murray, A., Rudnicki, R., Sanders, L., Schildhauer, M., Seaton, G., Shimizu, C., Soman, K., and Wormeli, P., “Group D: NIEM Ontology”, 2022.

P. Hitzler, Bhattacharjee, S., MacMullen, J., Shekhar, S., Stapleton, A., Zaslavsky, I., Janowicz, K., Rao, D., Lange, M., Israni, S., and Young, E., “Group E: Connecting investments in nutrition security and climate”, 2022.

K. Janowicz, Hitzler, P., Li, W., Rehberger, D., Schildhauer, M., Zhu, R., Shimizu, C., Fisher, C. K., Cai, L., Mai, G., Zalewski, J., Zhou, L., Stephen, S., Estrecha, S. Gonzalez, Mecum, B. D., Lopez-Carr, A., Schroeder, A., Smith, D., Wright, D. J., Wang, S., Tian, Y., Liu, Z., Shi, M., D'Onofrio, A., Gu, Z., and Currier, K., “Know, Know Where, Knowwheregraph: A Densely Connected, Cross-Domain Knowledge Graph and Geo-Enrichment Service Stack for Applications in Environmental Intelligence”, AI Mag., vol. 43, pp. 30–39, 2022.

K. Janowicz, Hitzler, P., Li, W., Rehberger, D., Schildhauer, M., Zhu, R., Shimizu, C., Fisher, C. K., Cai, L., Mai, G., Zalewski, J., Zhou, L., Stephen, S., Gonzalez, S., Mecum, B., Carr, A. Lopez, Schroeder, A., Smith, D., Wright, D., Wang, S., Tian, Y., Liu, Z., Shi, M., D’Onofrio, A., and Gu, Z., “Know, Know Where, KnowWhereGraph: A Densely Connected, Cross-Domain Knowledge Graph and Geo-Enrichment Service Stack for Applications in Environmental Intelligence”, AI Magazine, 2022.

KWG-AI-Magazine-2022.pdf (7.6 MB)

Z. Liu, Shi, M., Janowicz, K., Mai, G., Zhu, R., Delbeque, S., and Hitzler, P., “LD Connect: A Linked Data Portal for IOS Press Scientometrics”, in The Semantic Web - 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 - June 2, 2022, 2022.

2022-ESWC-LDConnect(1).pdf (3.13 MB)

S. Chowdhury, Ebrahimi, M., Hitzler, P., and Eberhart, A., “Memory Networks for RDFS Reasoning: Experiments”, SemREC-SMART 2022, Joint Proceedings of SemREC 2022 and SMART 2022 co-located with 21st International SemanticWeb Conference (ISWC 2022). CEUR Workshop Proceedings 3337, CEUR-WS.org 2023, Hangzhou, China, pp. pp. 28-32, 2022.

A. Jana, Paudel, B., Sarker, M. K., Ebrahimi, M., Hitzler, P., and Amariucai, G. T., “Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication”, Proceedings of Privacy Enhancing Technologies , vol. 2022 (4), pp. 86-104, 2022.

2020-arxiv-nfes.pdf (408.14 KB)

T. R. Besold, Garcez, A. S. d'Avila, Bader, S., Bowman, H., Domingos, P., Hitzler, P., Kühnberger, K. - U., Lamb, L. C., Lowd, D., Lima, P. Machado Vi, de Penning, L., Pinkas, G., Poon, H., and Zaverucha, G., “Neural-Symbolic Learning and Reasoning: A Survey and Interpretation”, in Neuro-Symbolic Artificial Intelligence: The State of the Art, Amsterdam: IOS Press, 2022.

2017-nesy-survey(4).pdf (635.26 KB)

P. Hitzler, Eberhart, A., Ebrahimi, M., Sarker, M. K., and Zhou, L., “Neuro-symbolic approaches in artificial intelligence”, National Science Review, vol. 9, no. 6, 2022.

M. K. Sarker, Zhou, L., Eberhart, A., and Hitzler, P., “Neuro-Symbolic Artificial Intelligence: Current Trends”, AI Communications, vol. 34, no. 3, 2022.

2021_AIC_NeSy.pdf (149.19 KB)

P. Hitzler and Sarker, M. K., Neuro-Symbolic Artificial Intelligence - The State of the Art. Amsterdam: IOS Press, 2022.

C. Baru, Campbell, L., Chang, W., DeBlank-Knowles, T., George, J., Halbert, M., Albrecht, K., Amaral, L., Ammar, N., Bacastow, T., Baranzini, S., Bishop, M., Cafarella, M., Cucerzan, S., Ding, Y., Handspicker, B., Hassanzadeh, O., Hitzler, P., Hudson, F., Israni, S., Rizk-Jackson, A., Jackson, E., Jahn, E., Janowicz, K., Kar, B., Klein, S., Lange, M., Lassila, O., Li, C., McGranaghan, R., Omay, M., Pah, A., Raschid, L., Ricart, G., Sallinger, E., Seaton, G., Shimizu, C., Stahopoulos, A., Wormeli, P., Yeghiazarian, L., Young, E., Livingston, P., Maughan, D., and Smith, S., “Open Knowledge Network Roadmap: Powering The Next Data Revolution”, 2022.

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