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Behavioral Analysis of Scientific Workflows With Semantic Information
2018
IEEE Access
The recent development in scientific computing related areas has shown an increasing interest in scientific workflows because of their abilities to solve complex challenges. Problems and challenges that were too heavy or time-consuming can be solved now in a more efficient manner. Scientific workflows have been progressively improved by means of the introduction of new paradigms and technologies, being the semantic area one of the most promising ones. This paper focuses on the addition of
doi:10.1109/access.2018.2878043
fatcat:ttsu4v5ksbev5imyue2oejbsx4