Bibliography - ge-semtk/semtk GitHub Wiki
Publications
Paul Cuddihy, Jenny Williams, Vijay Kumar, Kareem Aggour, Andrew Crapo, and Sharad Dixit, FDC Cache: Semantics-driven Federated Caching and Querying for Big Data, IEEE International Conference on Big Data (Big Data) 2020
Vijay Kumar, Kareem Aggour, Paul Cuddihy, Jenny Williams. 2020. A Federated, Multimodal Digital Thread Platform for Enabling Digital Twins. Naval Engineers Journal, Volume 132, Number 1, 1 March 2020, pp. 47-56(10). https://www.ingentaconnect.com/contentone/asne/nej/2020/00000132/00000001/art00015
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
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, Varish Mulwad. 2017. Integrated Access to Big Data Polystores through a Knowledge-driven Framework. IEEE International Conference on Big Data (Big Data), 1494-1503. DOI: http://ieeexplore.ieee.org/abstract/document/8258083/
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.
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. DOI: https://doi.org/10.1109/BigData.2015.7363864
Patents
U.S. Patent 9,760,614 (2017):
Patent Applications
US Patent App. 2019
Cuddihy P E, Mulwad V, Sellmann M, Wang T. Decision-Support System for Aircraft Requiring Emergency Landings. US Patent Application 17/134,139. 2020.
Aggour KS, Cuddihy PE, Kumar VS, Mulwad V, Williams, JMW. System and method for performing semantically-informed federated queries across a polystore. US Patent Application 16/748,044. 2020.
US Patent App. 2019
US Patent App. 2019
US Patent App. 2018
MATERIA - Knowledge-driven federated Big Data storage and analytics platform
US Patent App. Sep 2016
System and method for automatically publishing a web form from a semantic query
U.S. Patent application Mar 2016
Original name: Method and System for Capturing Knowledge in a Behavior Knowledge Graph
Systems and methods for semantically-informed querying of time series data stores
References
Alex Iankulski et al. Depend on Docker. DockerCon 2018
Recommended Semantic Web Resources
Property Graphs: Training Wheels on the way to Knowledge Graphs by Dave McComb
SADL home page by Andy Crapo