Cloud computing data capsules for non-consumptiveuse of texts. Zeng, J., Ruan, G., Crowell, A., Prakash, A., & Plale, B. In Proceedings of the 5th ACM workshop on Scientific cloud computing, pages 9-16, 2014. ACM. doi abstract bibtex As digital data sources grow in number and size, they pose an opportunity for computational investigation by means of text mining, natural language processing (NLP), and other text analysis techniques. In this paper we propose a virtual machine (VM) framework and methodology for nonconsumptive text analysis. Using a remote VM model, the VM is configured with software and tooling for text analysis. When completed, the VM is wiped out and resources released for other users to share. Our approach extends the VM by turning it into a data capsules that prevents leakage of copyrighted content in the event that the VM is compromised. The HathiTrust Research Center Data Capsules has seen early use in application against the HathiTrust repository of digitized books from university libraries nationwide. Copyright 2014 ACM.
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abstract = {As digital data sources grow in number and size, they pose an opportunity for computational investigation by means of text mining, natural language processing (NLP), and other text analysis techniques. In this paper we propose a virtual machine (VM) framework and methodology for nonconsumptive text analysis. Using a remote VM model, the VM is configured with software and tooling for text analysis. When completed, the VM is wiped out and resources released for other users to share. Our approach extends the VM by turning it into a data capsules that prevents leakage of copyrighted content in the event that the VM is compromised. The HathiTrust Research Center Data Capsules has seen early use in application against the HathiTrust repository of digitized books from university libraries nationwide. Copyright 2014 ACM.},
bibtype = {inproceedings},
author = {Zeng, Jiaan and Ruan, Guangchen and Crowell, Alexander and Prakash, Atul and Plale, Beth},
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