Abstract
This paper introduces the MINE platform, which aims to help scientists overcome the difficulties in data acquisition and text analysis in a large scale. Foremost, MINE provides a search portal, which facilitates the data acquisition process by allowing users to search and download data across multiple repositories. After investigating other state-of-the-art systems on the market at the moment, we realize that they cannot satisfy the complexity of a text analysis workflow. Therefore, a text analysis workspace was created in MINE. This workspace gives users not only a chance to build their own analysis workflows, but also to execute them on a powerful and reliable infrastructure. Although this workspace is a promising feature, there are still some works to be done. However, we strongly believe that it will be released for public use in this year.
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Behnk, R., Georgi, K., Granzow, R., Atze, L.: Testing the HathiTrust copyright search protocol in germany: a pilot project on procedures and resources. D-lib Mag. 20(9/10) (2014)
Burdick, A., Drucker, J., Lunenfeld, P., Presner, T., Schnapp, J.: Digital_Humanities. MIT Press, Cambridge (2016)
Doan, T.H.A., Bingert, S., Yahyapour, R.: Using a workflow management platform in textual data management. Data Intell. 4(2), 398–408 (2022)
Drucker, J., Kim, D., Salehian, I., Bushong, A.: Introduction to Digital Humanities Course Book. Methods, and Tutorials for Students and Instructors, Concepts (2014)
Flowable: open source. https://www.flowable.com/open-source/. Accessed 18 July 2022
Georg-August-Universität Göttingen - Öffentlichkeitsarbeit: Goettingen State and University Library. https://www.uni-goettingen.de/en/about+the+goettingen+state+and+university+library/56613.html. Accessed 16 May 2022
Georg-August-Universität Göttingen - Öffentlichkeitsarbeit: Press release: Northern Germany’s fastest computer. https://www.uni-goettingen.de/en/3240.html?id=6091 (2020). Accessed 16 May 2022
Google cloud: features. https://cloud.google.com/natural-language#section-6. Accessed 16 May 2022
Google cloud: pricing. https://cloud.google.com/natural-language#section-7. Accessed 16 May 2022
Google cloud: using the healthcare natural language API. https://cloud.google.com/healthcare-api/docs/how-tos/nlp. Accessed 16 May 2022
GRO.publications: Göttingen Research Online Publications. https://publications.goettingen-research-online.de/. Accessed 23 Feb 2022
Göttinger Digitalisierungszentrum: Ein Service der SUB Göttingen. https://gdz.sub.uni-goettingen.de/. Accessed 23 Feb 2022
HathiTrust: HathiTrust Languages. https://www.hathitrust.org/visualizations_languages. Accessed 16 May 2022
HathiTrust: HathiTrust Research Center Analytics. https://analytics.hathitrust.org/. Accessed 16 May 2022
HathiTrust: Overview of HathiTrust Cost Model and Annual Fees. https://www.hathitrust.org/Cost. Accessed 16 May 2022
HathiTrust: welcome to HathiTrust! https://www.hathitrust.org/about. Accessed 16 May 2022
IBM Watson: features. https://www.ibm.com/cloud/watson-natural-language-understanding/details. Accessed 16 May 2022
IBM Watson: IBM Watson discovery. https://www.ibm.com/cloud/watson-discovery. Accessed 16 May 2022
IBM Watson: pricing. https://www.ibm.com/cloud/watson-natural-language-understanding/pricing. Accessed 16 May 2022
Microsoft: cognitive service for language pricing. https://azure.microsoft.com/en-us/pricing/details/cognitive-services/language-service/. Accessed 16 May 2022
Microsoft: what is the text analytics for health in azure cognitive service for language? https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/text-analytics-for-health/overview?tabs=ner. Accessed 16 May 2022
OpenFaas: serverless functions, made simple. https://www.openfaas.com/. Accessed 18 Jul 2022
Orchest: build data pipelines, the easy way. https://www.orchest.io/. Accessed 18 Jul 2022
TextGrid: TextGrid. https://textgridrep.org/. Accessed 23 Feb 2022
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Doan, T.H.A., Király, P., Bingert, S. (2022). MINE – Workspace as a Service for Text Analysis. In: Silvello, G., et al. Linking Theory and Practice of Digital Libraries. TPDL 2022. Lecture Notes in Computer Science, vol 13541. Springer, Cham. https://doi.org/10.1007/978-3-031-16802-4_29
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