Knowledge Discovery on Blockchains: Challenges and Opportunities for Distributed Event Detection Under Constraints

Author(s):  
Cedric Sanders ◽  
Thomas Liebig
Author(s):  
Marcelo Vighi Fernandes ◽  
Jorge Renato Verschoore

Purpose – The main objective of this article is to investigate how blockchain is affecting the technological strategy of the financial industry.Theoretical framework – Our theoretical framework is structured based on four approaches: Blockchain; Blockchain Advantages; Technology Strategy; Blockchain Technology Strategy.Design/methodology/approach – We conducted an exploratory study using knowledge discovery in texts (KDT), with the support of text mining tools. We collected and analyzed contents of a set of news published on the Web about Blockchain. A total of 2,605 blockchain web news items were extracted from the business media worldwide, such as Forbes, Fortune, Financial Post and Business World. We explored the text dataset using sentiment analysis, opinion mining, text association analysis, and correspondence analysis.Findings – The results showed that blockchain technology has the potential to affect the transactions through a common platform. Additionally, the results demonstrated the advantages of blockchain technology for cross-border payment systems.Research, Practical Social implications – We elaborate four theoretical propositions that may guide research and help practitioners to identify challenges and opportunities for blockchain technology.Originality/value – Our study revealed how blockchain has been affecting the technology strategy of the financial industry and highlighted two starting trajectories: the establishment of private blockchain and its application in the cross-border payment services. 


2013 ◽  
Vol 321-324 ◽  
pp. 2776-2779
Author(s):  
Biao Dong

This paper analyzed context aware technology of the computing and applications for large scale sensor networks (LSSNs), proposed the establishment of context aware technology based on active mechanism, and presented active capturing service (ACS) and active knowledge discovery service (AKDS) in computing and applications for LSSNs. The results shows that active mechanism based on event-condition-action (ECA) rules provides an event detection model that suits many classes of applications in ACS and AKDS.


2021 ◽  
Author(s):  
Wu Lan ◽  
Yuan Peng Du ◽  
Songlan Sun ◽  
Jean Behaghel de Bueren ◽  
Florent Héroguel ◽  
...  

We performed a steady state high-yielding depolymerization of soluble acetal-stabilized lignin in flow, which offered a window into challenges and opportunities that will be faced when continuously processing this feedstock.


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