Proceedings of the 2020 Federated Conference on Computer Science and Information Systems 2020
DOI: 10.15439/2020f168
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Introducing LogDL - Log Description Language for Insights from Complex Data

Abstract: We propose a new logic-based language called Log Description Language (LogDL), designed to be a medium for the knowledge discovery workflows over complex data sets. It makes it possible to operate with the original data along with machinelearning-driven insights expressed as facts and rules, regarded as so-called descriptive logs characterizing the observed processes in real or virtual environments. LogDL is inspired by the research at the border of AI and games, precisely by Game Description Language (GDL) th… Show more

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Cited by 4 publications
(4 citation statements)
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“…pattern recognition, image analysis or modelling situational awareness by AI systems [17]. In all these cases ontology is a tool for modelling the structure of concepts and relationships describing a selected part of the local context in which the system is described [18].…”
Section: A Ontology Of Conceptsmentioning
confidence: 99%
“…pattern recognition, image analysis or modelling situational awareness by AI systems [17]. In all these cases ontology is a tool for modelling the structure of concepts and relationships describing a selected part of the local context in which the system is described [18].…”
Section: A Ontology Of Conceptsmentioning
confidence: 99%
“…They can have the form of videos, sequence of screenshots or structured logs. A particularly suitable format for such logs is in LogDL [43], which was inspired by GDL mentioned in the context of General Game Playing. We think that the most important thing is to not give the bots any more information than the human players had.…”
Section: A Descriptionmentioning
confidence: 99%
“…Also, security systems could benefit from more accurate analysis methods; facial recognition methods -despite rising privacy concerns -may also provide valuable insight if used with respect to legal regulations [9]. Finally, a system such as Arahub is a source of meta-data that could be used to learn about general behaviors and trends in the society, which can be used for making predictive models or inferring rules [10].…”
Section: B Motivationmentioning
confidence: 99%