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Third annual workshop on data-driven knowledge mobilization

Published: 29 October 2018 Publication History

Abstract

Knowledge mobilization and translation describes the process of moving knowledge from research and development (R&D) labs into environments where it can be put to use. There is increasing interest in understanding mechanisms for knowledge mobilization, specifically with respect to academia and industry collaborations. At the same time, the number of available datasets and accessible analysis tools is growing.

References

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G. Bernard, P. Andritsos. 2017b. A Process Mining Based Model for Customer Journey Mapping. pp 49--56. In the 29th International Conference on Advanced Information Systems Engineering, CAiSE 2017, Essen, Germany, June 12--16, 2017.
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D. Luo, K. Lyons, 2017. CASCONet: A Conference dataset, arXiv preprint arXiv:1706.09485.
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K. Lyons, E. Stroulia, R. Miller & K. Booth. 2017. Second annual workshop on data driven knowledge mobilization. In Proceedings of the 27th Annual International CASCON Conference, 345--348.
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K. Lyons, E. Stroulia, D. Luo, R. Miller, V. Onut. 2016. Data-Driven Knowledge Mobilization, In Proceedings of the 26th Annual International CASCON Conference, 280--282.
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R. J. Miller, F. Nargesian, E. Zhu, C. Christodoulakis, K. Q. Pu, P. Andritsos. 2018. Making Open Data Transparent: Data Discovery on Open Data. IEEE Data Eng. Bull. 41(2): 59--70
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F. Nargesian, E. Zhu, K. Q. Pu, R. J. Miller. 2018. Table Union Search on Open Data. PVLDB 11(7): 813--825.
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D. Serrano, E. Stroulia, D. Lau, T. Ng, 2017. Linked REST APIs: A Middleware for Semantic REST API Integration, The International Conference on Web Services (ICWS 2017), Honolulu, USA.
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  • (2019)Fourth annual workshop on data-driven knowledge mobilizationProceedings of the 29th Annual International Conference on Computer Science and Software Engineering10.5555/3370272.3370325(378-379)Online publication date: 4-Nov-2019

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Published In

cover image DL Hosted proceedings
CASCON '18: Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering
October 2018
439 pages

Publisher

IBM Corp.

United States

Publication History

Published: 29 October 2018

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Overall Acceptance Rate 24 of 90 submissions, 27%

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  • (2019)Fourth annual workshop on data-driven knowledge mobilizationProceedings of the 29th Annual International Conference on Computer Science and Software Engineering10.5555/3370272.3370325(378-379)Online publication date: 4-Nov-2019

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