Semantic monitoring and compensation in socio-technical processes

Authors

Yingzhi Gou, University of WollongongFollow
Aditya Ghose, University of WollongongFollow
Chee Fon Chang, University of WollongongFollow
Hoa Dam, University of WollongongFollow
Andrew Alexis Miller, University of WollongongFollow

RIS ID

96054

Publication Details

Gou, Y., Ghose, A., Chang, C., Dam, H. Khanh. & Miller, A. (2014). Semantic monitoring and compensation in socio-technical processes. Lecture Notes in Computer Science, 8823 117-126.

Abstract

Socio-technical processes are becoming increasingly important, with the growing recognition of the computational limits of full automation, the growth in popularity of crowd sourcing, the complexity and openness of modern organizations etc. A key challenge in managing socio-technical processes is dealing with the flexible, and sometimes dynamic, nature of the execution of human-mediated tasks. It is well-recognized that human execution does not always conform to predetermined coordination models, and is often error-prone. This paper addresses the problem of semantically monitoring the execution of socio-technical processes to check for non-conformance, and the problem of recovering from (or compensating for) non-conformance. This paper proposes a semantic solution to the problem, by leveraging semantically annotated process models to detect non-conformance, and using the same semantic annotations to identify compensatory human-mediated tasks.