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Bibliography
Vijay S. Kumar, Paul Cuddihy, and Kareem S. Aggour. 2019. NodeGroup: A Knowledge-driven Data Management Abstraction for Industrial Machine Learning. In Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning (DEEM'19). ACM, New York, NY, USA, Article 10, 4 pages. DOI: [https://doi.org/10.1145/3329486.3329497] (https://doi.org/10.1145/3329486.3329497)
ISWC 2018 SemTK: A Semantics Toolkit for User-friendly SPARQL Generation and Semantic Data Management Paul Cuddihy, Justin McHugh, Jenny Williams, Varish Mulwad, Kareem Aggour. 2018. A Semantics Toolkit for User-friendly SPARQL Generation and Semantic Data Management In Proceedings of International Semantic Web Conference (P&D/Industry/BlueSky). DOI: http://ceur-ws.org/Vol-2180/paper-12.pdf
Justin McHugh, Paul Cuddihy, Jenny Williams, Kareem Aggour, Vijay Kumar, and Varish Mulwad
arXiv 2017: SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge Graphs
Paul Cuddihy, Justin McHugh, Jenny Weisenberg Williams, Varish Mulwad, Kareem S. Aggour. 2017. SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge Graphs. https://arxiv.org/abs/1710.11531.
IEEE 2015: Semantics for Big Data access & integration: Improving industrial equipment design through increased data usability
Jenny Weisenberg Williams, Paul Cuddihy, Justin McHugh, Kareem S. Aggour, Arvind Menon, Steven M. Gusta fson, and Timothy Healy. 2015. Semantics for Big Data access & integration: Improving industrial equipment design through increased data usability. In Proceedings of the IEEE International Conference on Big Data. 1103–1112. https://doi.org/10.1109/BigData.2015.7363864
System and method for automatically publishing a web form from a semantic query
Systems and methods for semantically-informed querying of time series data stores