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Bibliography

SemTK team @ Knowledge Discovery Lab edited this page Jul 9, 2019 · 29 revisions

Publications

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, and Varish Mulwad

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. https://doi.org/10.1109/BigData.2015.7363864

Patents

U.S. Patent 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.

US Patent App. Sep 2016

System and method for automatically publishing a web form from a semantic query

U.S. Patent application Mar 2016

Systems and methods for semantically-informed querying of time series data stores

References

Alex Iankulski et al. Depend on Docker. DockerCon 2018

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