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Sabbir M. Rashid
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2020 – today
- 2023
- [j4]Oshani Seneviratne, Amar K. Das, Shruthi Chari, Nkechinyere N. Agu, Sabbir M. Rashid, Jamie P. McCusker, Jade S. Franklin, Miao Qi, Kristin P. Bennett, Ching-Hua Chen, James A. Hendler, Deborah L. McGuinness:
Semantically enabling clinical decision support recommendations. J. Biomed. Semant. 14(1): 8 (2023) - [c18]Henrique Santos, Paulo Pinheiro, Jamie P. McCusker, Sabbir M. Rashid, Deborah L. McGuinness:
SciKG: Tutorial on Building Scientific Knowledge Graphs from Data, Data Dictionaries, and Codebooks. ESWC Workshops 2023 - [c17]Sabbir M. Rashid, Jamie P. McCusker, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness:
A Concise Ontology to Support Research on Complex, Multimodal Clinical Reasoning. ESWC 2023: 390-407 - 2022
- [j3]Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmermann:
Knowledge Graphs. ACM Comput. Surv. 54(4): 71:1-71:37 (2022) - 2021
- [b1]Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann:
Knowledge Graphs. Synthesis Lectures on Data, Semantics, and Knowledge, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00790-3, pp. 1-257 - [c16]Jamie P. McCusker, Michael Deagen, Tolulomo Fateye, Anya Wallace, Sabbir M. Rashid, Deborah L. McGuinness:
Creating and Visualizing the Materials Science Knowledge Graph with Whyis. ISWC (Posters/Demos/Industry) 2021 - 2020
- [j2]Sabbir M. Rashid, James P. McCusker, Paulo Pinheiro, Marcello Peixoto Bax, Henrique Santos, Jeanette A. Stingone, Amar K. Das, Deborah L. McGuinness:
The Semantic Data Dictionary - An Approach for Describing and Annotating Data. Data Intell. 2(4): 443-486 (2020) - [c15]Sabbir M. Rashid:
Employing Hybrid Reasoning to Support Clinical Decision-Making/span. DC@ISWC 2020: 9-16 - [c14]Jamie P. McCusker, Neha Keshan, Sabbir M. Rashid, Michael Deagen, L. Catherine Brinson, Deborah L. McGuinness:
NanoMine: A Knowledge Graph for Nanocomposite Materials Science. ISWC (2) 2020: 144-159 - [i3]Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, José Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmermann:
Knowledge Graphs. CoRR abs/2003.02320 (2020)
2010 – 2019
- 2019
- [j1]Ching-Hua Chen, James A. Hendler, Sabbir M. Rashid, Oshani Seneviratne, Daby Sow, Biplav Srivastava:
Reflections on Successful Research in Artificial Intelligence: An Introduction. AI Mag. 40(4): 3-5 (2019) - [c13]Alexander New, Shruthi Chari, Miao Qi, Sabbir M. Rashid, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett:
Semantically-targeted analytics for reproducible scientific discovery. AIDR 2019: 2:1-2:4 - [c12]Alexander New, Miao Qi, Shruthi Chari, Sabbir M. Rashid, Oshani Seneviratne, Jamie P. McCusker, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett:
Automating Population Health Studies Through Semantics and Statistics. SAWSemStats@ISWC 2019 - [c11]Oshani Seneviratne, Amar K. Das, Shruthi Chari, Nkechinyere N. Agu, Sabbir M. Rashid, Ching-Hua Chen, Jamie P. McCusker, James A. Hendler, Deborah L. McGuinness:
Enabling Trust in Clinical Decision Support Recommendations through Semantics. SeWeBMeDa@ISWC 2019: 55-67 - 2018
- [c10]Paulo Pinheiro, Marcello Peixoto Bax, Henrique Santos, Sabbir M. Rashid, Zhicheng Liang, Yue Liu, Yarden Ne'eman, Jamie P. McCusker, Deborah L. McGuinness:
Annotating Diverse Scientific Data With HAScO. ONTOBRAS 2018: 80-91 - [c9]Jamie P. McCusker, Sabbir M. Rashid, Nkechinyere Agu, Kristin P. Bennett, Deborah L. McGuinness:
Developing Scientific Knowledge Graphs Using Whyis. SemSci@ISWC 2018: 52-58 - [c8]Jamie P. McCusker, Sabbir M. Rashid, Nkechinyere Agu, Kristin P. Bennett, Deborah L. McGuinness:
The Whyis Knowledge Graph Framework in Action. ISWC (P&D/Industry/BlueSky) 2018 - [c7]Paulo Pinheiro, Henrique Santos, Zhicheng Liang, Yue Liu, Sabbir M. Rashid, Deborah L. McGuinness, Marcello Peixoto Bax:
HADatAc: A Framework for Scientific Data Integration using Ontologies. ISWC (P&D/Industry/BlueSky) 2018 - [c6]Sabbir M. Rashid, Deborah L. McGuinness:
Creating and Using an Education Standards Ontology to Improve Education. SW4SG@ISWC 2018 - [c5]Sabbir M. Rashid, David De Roure, Deborah L. McGuinness:
A Music Theory Ontology. SAAM@ISWC 2018: 6-14 - [c4]Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, James A. Hendler, Deborah L. McGuinness:
Knowledge Integration for Disease Characterization: A Breast Cancer Example. ISWC (2) 2018: 223-238 - [c3]Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, Jim Hendler, Deborah L. McGuinness:
Ontology-enabled Breast Cancer Characterization. ISWC (P&D/Industry/BlueSky) 2018 - [i2]Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, James A. Hendler, Deborah L. McGuinness:
Knowledge Integration for Disease Characterization: A Breast Cancer Example. CoRR abs/1807.07991 (2018) - [i1]Alexander New, Sabbir M. Rashid, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett:
Semantically-aware population health risk analyses. CoRR abs/1811.11190 (2018) - 2017
- [c2]Sabbir M. Rashid, Katherine Chastain, Jeanette A. Stingone, Deborah L. McGuinness, Jamie P. McCusker:
The Semantic Data Dictionary Approach to Data Annotation & Integration. SemSci@ISWC 2017: 47-54 - [c1]Jamie P. McCusker, Sabbir M. Rashid, Zhicheng Liang, Yue Liu, Katherine Chastain, Paulo Pinheiro, Jeanette A. Stingone, Deborah L. McGuinness:
Broad, Interdisciplinary Science In Tela: An Exposure and Child Health Ontology. WebSci 2017: 349-357
Coauthor Index
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