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Bibliography

Paul Cuddihy GE Research edited this page Mar 2, 2021 · 29 revisions

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):

Method and tool for browsing semantic data and creating queries using a domain/range representation PE Cuddihy, JDS McHugh, RKR Palla. Method and tool for browsing semantic data and creating queries using a domain/range representation. US 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

Service layer augmentation of response to semantically-informed query of arbitrary external data sources

US Patent App. 2019

Service layer augmentation of response to semantically-informed query of arbitrary external data sources

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