Publications

MINT Overview Publication

  • Gil,Y.; Garijo, D.; Khider, D.; Knoblock, C.A.; Ratnakar, V.; Osorio, M.; Vargas, H.; Pham,M.; Pujara, J.; Shbita, B. Vu, B; Chiang, Y.; Feldman, D.; Lin, Y.; Song, H.; Kumar, V.; Khandelwal, A.; Steinbach, M.; Tayal, K.; Xu, S.; Pierce, S.A.; Pearson, L.; Hardesty-Lewis, D.; Deelman, E.; Ferreira da Silva, R.; Mayani, R.; Kemanian, A.R.; Shi, Y.; Leonard, L.; Peckham, S.; Stoica, M.; Cobourn, K.; Zhang, Z.; Duffy, C.; and Shu, L. Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making , ACM Transactions on Interactive Intelligent Systems (TiiS), 11(2). 2021.

Overall Project Publications

  1. Timo Schaffhauser, Daniel Garijo, Maximiliano Osorio, Daniel Bittner, Suzanne Pierce, Hernan Vargas, Markus Disse, Yolanda Gil, A framework for the broad dissemination of hydrological models for non-expert users, in Environmental Modelling & Software.
  2. Berhanu, B.; Bisrat, E.; Gil, Y.; Khider, D.; Osorio, M.; Ratnakar, V.; and Vargas, H., An AI Approach to Integrating Climate, Hydrology, and Agriculture Models, in Proceedings of the First International Workshop on Social Impact of AI for Africa (SIAIA), held at the 36th Annual Conference of the Association for the Advancement of Artificial Intelligence (AAAI-22), 2022.
  3. Pham, M.; Knoblock, C.A.; Chen, M.; Vu, B.; Pujara, J., SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables, in Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021.
  4. Vu, B.; Knoblock, C.A.; Szekely, P.; Pham, M.; Pujara, J., A Graph-based Approach for Inferring Semantic Descriptions of Wikipedia Tables, in Proceedings of the International Semantic Web Conference, 2021.
  5. Willard, J.; Jia, X.; Xu, S.; Steinbach, M.; and Kumar, V., Integrating physics-based modeling with machine learning: A survey, in Preprint.
  6. Gil,Y.; Garijo, D.; Khider, D.; Knoblock, C.A.; Ratnakar, V.; Osorio, M.; Vargas, H.; Pham,M.; Pujara, J.; Shbita, B. Vu, B; Chiang, Y.; Feldman, D.; Lin, Y.; Song, H.; Kumar, V.; Khandelwal, A.; Steinbach, M.; Tayal, K.; Xu, S.; Pierce, S.A.; Pearson, L.; Hardesty-Lewis, D.; Deelman, E.; Ferreira da Silva, R.; Mayani, R.; Kemanian, A.R.; Shi, Y.; Leonard, L.; Peckham, S.; Stoica, M.; Cobourn, K.; Zhang, Z.; Duffy, C.; and Shu, L., Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making, in ACM Transactions on Interactive Intelligent Systems (TiiS), 11(2). 2021.
  7. Garijo, D. and Osorio M., OBA: An Ontology-Based Framework for Creating REST APIs for Knowledge Graphs, in Proceedings of the 2020 International Semantic Web Conference.
  8. Goble, C.; Cohen-Boulakia, S.; Soiland-Reyes, S.; Garijo, D.; Gil, Y.; Crusoe, M. R.; Peters, K.; and Schober, D, FAIR Computational Workflows, in Data Intelligence, 2(1): 108-121. 2020.
  9. D. Garijo, M. Osorio, D. Khider, V. Ratnakar, and Y. Gil, OKG-Soft: An Open Knowledge Graph with Machine Readable Scientific Software Metadata, in Proceedings of the 15th IEEE Conference on eScience, 2019.
  10. Shbita B., B. Vu, D. Feldman, M. Pham, A. Rajendran, C. Knoblock, J. Pujara, and Y. Chiang, Creating a FAIR Data Catalog to Support Scientific Modeling, in Workshop on Advanced Knowledge Technologies for Science in a FAIR World, colocated with the 15th IEEE Conference on eScience, 2019.
  11. Stoica M., and S.D. Peckham, Incorporating New Concepts into the Scientific Variables Ontology, in Workshop on Advanced Knowledge Technologies for Science in a FAIR World, colocated with the 15th IEEE Conference on eScience, 2019.
  12. Shbita B., A. Rajendran, J. Pujara, and C. Knoblock, Parsing, Representing and Transforming Units of Measure, in Proceedings of the Conference in Modeling the World's Systems (MWS), 2019.
  13. D. Garijo, D. Khider, V. Ratnakar, Y. Gil, E. Deelman, R. Ferreira da Silva, C. Knoblock, Y. Chiang, M. Pham, J. Pujara, B. Vu, D. Feldman, R. Mayani, K. Cobourn, C. Duffy, A. Kemanian, L. Shu, V. Kumar, A. Khandelwal, K. Tayal, S. Peckham, M. Stoica, A. Dabrowski, D. Hardesty-Lewis, and S. Pierce, An Intelligent Interface for Integrating Climate, Hydrology, Agriculture, and Socioeconomic Models, in Proceedings of the 24th ACM International Conference on Intelligent User Interfaces (IUI’19), 2019, p. 111–112.
  14. M. Stoica and S. D. Peckham, The Scientific Variables Ontology: A Blueprint for Custom Manual and Autpmated Creation and Alignment of Machine-Iterpretable Qualitative and Quanitative Variable Concepts, in Proceedings of the Conference in Modeling the World's Systems (MWS), 2019.
  15. M. Pham, C. Knoblock, and J. Pujara, Learning Data Transformations with Minimal User Effort, in Proceedings of the IEEE International Conference on Big Data, 2019.
  16. B. Vu, C. Knoblock, and J. Pujara, D-REPR: A Language for Describing and Mapping Diversely-Structured Data Sources to RDF, in Proceedings of the 10th ACM International Conference on Knowledge Capture (K-CAP), 2019.
  17. B. Vu, C. Knoblock, and J. Pujara, Learning Semantic Models of Data Sources Using Probabilistic Graphical Models, in Proceedings of The World Wide Web Conference (WWW), 2019.
  18. J. Pujara, A. Rajendran, M. Ghasemi-Gol, and P. Szekely, A Common Framework for Developing Table Understanding Models, in Proceedings of the International Semantic Web Conference, 2019 (Posters).
  19. D. Garijo, D. Khider, Y. Gil, L. Carvalho, B. Essawy, S. Pierce, D. H. Lewis, V. Ratnakar, S. D. Peckham, C. Duffy, and J. Goodall, A Semantic Model Registry to Support Comparison and Reuse, in Proceedings of the 9th International Congress on Environmental Modelling and Software, 2018.
  20. R. Ferreira da Silva, D. Garijo, S. Peckham, Y. Gil, E. Deelman, and V. Ratnakar, Towards Model Integration via Abductive Workflow Composition and Multi-Method Scalable Model Execution, in Proceedings of the 9th International Congress on Environmental Modelling and Software, 2018.
  21. S. D. Peckham, and M. Stoica, Principle-based, Semi-automatic Ontology Generation to Support Cross-Domain Interoperability of Data Sets and Models, in Proceedings of the 9th International Congress on Environmental Modelling and Software, 2018.
  22. Y. Gil, K. Cobourn, E. Deelman, C. Duffy, R. Ferreira da Silva, A. Kemanian, C. Knoblock, V. Kumar, S. Peckham, L. Carvalho, Y. Chiang, D. Garijo, D. Khider, A. Khandelwal, M. Pahm, J. Pujara, V. Ratnakar, M. Stoica, and B. Vu, MINT: Model Integration Through Knowledge-Powered Data and Process Composition, in Proceedings of the 9th International Congress on Environmental Modelling and Software, 2018.
  23. J. Willard, X. Jia, S. Xu, M. Steinbach, and V. Kumar, Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems, in .