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What Are They Talking about? Relation Extraction from News to Identify Research Directions in Emerging Technologies

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dc.contributor.author Prat, Nicolas
dc.date.accessioned 2020-12-24T20:08:18Z
dc.date.available 2020-12-24T20:08:18Z
dc.date.issued 2021-01-05
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/71282
dc.description.abstract Emerging technologies are characterized by their uncertainty, rapid evolution, and major impact. We focus on identifying research directions in these technologies. Identifying these research directions requires keeping in pace with the development of the technologies, and reaching out to individuals and society, beyond organizations. This is made possible by big data analytics. This paper uses design science research to propose and apply a methodology that performs text mining on news crawled from the Internet to identify research directions for an emerging technology. The methodology uses relation extraction on the news documents to extract relations between terms of the emerging technology and information systems constructs. These relations are then analyzed to suggest research avenues. We apply the methodology to blockchain, a major emerging technology, and derive insights from this application.
dc.format.extent 10 pages
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Advances in Design Science Research
dc.subject blockchain
dc.subject design science research
dc.subject emerging technology
dc.subject relation extraction
dc.subject research direction
dc.title What Are They Talking about? Relation Extraction from News to Identify Research Directions in Emerging Technologies
dc.identifier.doi 10.24251/HICSS.2021.662
prism.startingpage 5449
Appears in Collections: Advances in Design Science Research


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