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In this demo we present our SemML system that addresses these challenges by enhancing machine learning with semantic technologies: by capturing domain and ML knowledge in ontologies and ontology templates ... Machine learning (ML) is gaining much attention for data analysis in manufacturing. Despite the success, there is still a number of challenges in widening the scope of ML adoption. ... One-time development of an ML pipeline for a specific scenario can be done within a reasonably short time. However, condition monitoring requires the constant development of new ML models. ...doi:10.5445/ir/1000127042 fatcat:np56qmvhhvgshmgr7nai5dk7gm
, which our tool answers right away, has to be reformulated by a developer into a SQL-like statement in order to be answerable with a tool, such as Semmle. 8 A Semmle query would look like this: from Method ... Software engineers could either monitor these metrics by means of a Web front-end or with a plug-in for their IDE. ... Meta-model extractors for Java and C#. They extract the static source code structure of a software project, based on the FAMIX meta-model [TDD00] . ...doi:10.5167/uzh-72861 fatcat:qt7hiojy6vc7ncrw6k3fng433q
He heads the Laboratory for Usage-centered Software Engineering, a research and development group dedicated to making technology more useful and usable. ... Whether its a UML modeling tool or a Web 2.0 ERP system, on the other side of the screen is a human eye and hand coordinated by a human brain. ... Acknowledgments We wish to thank Michael Hicks and the anonymous reviewers for their helpful comments on earlier versions of this paper, Mike Furr and Elnatan Reisner for assisting in the testing of our ...fatcat:nb4ev2loh5cnzf4um3iisgzxem
as system modelling. ... OMI is the acronym of the German name for the Institute of Information Resource Management located at Ulm University, Germany. ... Researchers using the Inception Score need to be aware of its limitations. ...doi:10.18725/oparu-38460 fatcat:rlndofm4enfxvpoel4o6gd7tmy