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Towards Automated Analysis of Model-Driven Artifacts in Industry
2018
Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development
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These ecosystems formalize the domain of interest using Domain Specific Languages (DSLs), and formalize the relations between models by means of automated model transformations. ...
Multi-Disciplinary System Engineering (MDSE) ecosystems provide a means for this. ...
ACKNOWLEDGEMENTS The authors thank Jeroen Voeten, Wilbert Alberts, Sven Weber, Marc Hamilton and Rogier Wester for stimulating discussions and constructive feedback on earlier versions of this paper. ...
doi:10.5220/0006749407430751
dblp:conf/modelsward/SchiffelersLMB18
fatcat:jz374ktrmjcjvfpma5x4p23ro4
Exploring DSL Evolutionary Patterns in Practice - A Study of DSL Evolution in a Large-scale Industrial DSL Repository
2018
Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development
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For instance, by using domain-specific languages, enabling engineers to model systems in terms of their domain, rather then encoding them into general purpose modeling languages. ...
When domain languages evolve, they may trigger co-evolution of models, model-to-model transformations, editors (both graphical and textual), and other artifacts that depend on the domain-specific language ...
One way to support such early analysis is to design domain-specific languages (DSLs) enabling engineers to model (parts of) systems in terms close to their knowledge domain. ...
doi:10.5220/0006605804460453
dblp:conf/modelsward/MengerinkSCSSB18
fatcat:hv35vdrw2reuln7kpk6vxx26yy
Multidimensional ontology modeling of human digital ecosystems affected by social behavioural data patterns
2010
4th IEEE International Conference on Digital Ecosystems and Technologies
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Domain ontologies are built based on the known-knowledge mining and thus unknown relationships are modeled that are affected by social behaviour data patterns. ...
This methodology is adopted to understand the human ecosystem that is affected by human behavioural and social disorder data patterns. ...
During data mining stage, domain knowledge is allowed with specification of constraints for directing the data mining procedures, for example narrowing of searching process. ...
doi:10.1109/dest.2010.5610601
fatcat:dkfzgug6obh4bfubqk6fgwcira
Data Sovereignty and the Internet of Production
[chapter]
2020
Lecture Notes in Computer Science
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A shared metaphor, borrowed from Plato's famous Cave Allegory, serves as the core modeling and data management approach from conceptual, logical, physical, and business perspectives. ...
concerning the usage of their own data in the presence of dominant data-hungry players in the Internet needs more investigation. ...
of Production -390621612. ...
doi:10.1007/978-3-030-49435-3_34
fatcat:azte6hwfbra37poeswdydnfezm
Edison Data Science Framework: Part 1. Data Science Competence Framework (Cf-Ds) Release 2
2017
Zenodo
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, and for companies to better define a set of required competences and skills for their specific industry domain in their search for Data Science talents, on the other hand. ...
CF-DS will provide a basis for Data Science Body of Knowledge (DS-BoK) and Model Curriculum (MC-DC) definitions, and further for the Data Science Professional profiles (DSPP). ...
to better define a set of required competences and skills for their specific industry domain in their search for Data Science talents, on the other hand. ...
doi:10.5281/zenodo.1044345
fatcat:ybg432e6lfhgboplyo22ka37ci
Introduction
[chapter]
2008
Lecture Notes in Computer Science
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This has been a sudden upsurge of research activity in the problems associated with adding semantics to the Web. This work on semantics will involve data, knowledge, and process semantics. ...
It has also produced a major shift in our thinking on the nature and scope of information processing. ...
language specification
Theme 4: Language for Semantic Web
• Extensions to languages
• Languages for knowledge extraction and integration
• Content-based information and knowledge retrieval
• Database ...
doi:10.1007/978-3-540-89784-2_1
fatcat:ewc2brfrzndjha7dgcfruj2h3a
Model Driven Interoperability for System Engineering
2020
Modelling
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As a result, the MDSEA, extended with interoperability concerns, led to the design of the MDISE (Model Driven Interoperability System Engineering) framework, which capitalizes on the research on enterprise ...
To finish, some proposals are made to extend the Model System Tool Box (MSTB) and the use of MDISE for Cyber Physical System (CPS) that are relevant components of SC-ICTS. ...
Conflicts of Interest: The authors declare no conflict of interest. Modelling 2020, 1 ...
doi:10.3390/modelling1020007
fatcat:oso5isafjvcpvgc5kt366b47kq
Micro Workflow Gestural Analysis: Representation in Social Business Processes
[chapter]
2010
Lecture Notes in Business Information Processing
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These techniques can be applied in differing expert driven problem domains and the resultant data from such analysis of gestural meta data can help to build a reputational representation of human agents ...
within specific business processes, which will assist in finding the most appropriate human agent for a given task. ...
The modelling concepts were extended by an industry driven modelling language called BPEL. ...
doi:10.1007/978-3-642-12186-9_26
fatcat:xlsvhpuwlja6fd2zjvppyxepoq
Ontology Summit 2016 Communique: Ontologies within semantic interoperability ecosystems
2017
Applied Ontology
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The VIVO semantic web-application was created as a solution driven by a common set of requirements that are not industry specific. ...
It provides a multicountry, multi-language reference model with targeted goals addressing requirements in the HR domain. 4. ...
doi:10.3233/ao-170181
fatcat:v7gurhorhre37fvugolrar2uzm
Raising Time Awareness in Model-Driven Engineering: Vision Paper
2017
2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS)
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We envision that Model-Driven Engineering (MDE) would be an appropriate ecosystem for a seamless and orthogonal integration of time into domain modelling and processing. ...
The conviction that big data analytics is a key for the success of modern businesses is growing deeper, and the mobilisation of companies into adopting it becomes increasingly important. ...
OCL follows one of the main principles of model-driven engineering, the separation of concerns between structure and behaviour definition. ...
doi:10.1109/models.2017.11
dblp:conf/models/Benelallam0MFBB17
fatcat:23gqmdrcinfytpn2suiurezrzq
The Big Data Value Chain: Definitions, Concepts, and Theoretical Approaches
[chapter]
2016
New Horizons for a Data-Driven Economy
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big data technology • Determining the value of data • Identification of business models that will support a data-driven ecosystem • Enabling entrepreneurs and venture capitalists to easily access the ...
The Big Data domain is no different. The different definitions of "Big Data" which have emerged show the diversity and use of the term to label data with different attributes. ...
doi:10.1007/978-3-319-21569-3_3
fatcat:4f27mbpvdjckzbze5c6hrcjxju
Business ecosystem modeling- the hybrid of system modeling and ecological modeling: an application of the smart grid
2019
Energy Informatics
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Therefore, there is the need for a unified ontology as a standard that can be used for a specific domain, e.g. smart grid (Cuenca et al. 2017) . ...
Perform data and text mining. Perform statistical analyses, data reduction (distribution fitting, etc.). ...
Availability of data and materials Data sharing not applicable to this article as no datasets were generated or analyzed during the current study. Ethics approval Not applicable. ...
doi:10.1186/s42162-019-0100-4
fatcat:slkkybes5nc2bjxk47obsog6ua
Mining Domain Models in Ethereum DApps using Code Cloning
[article]
2022
arXiv
pre-print
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This research study explores the use of near-miss clone detection to support the characterization of domain models of smart contracts for each of the popular domains in which smart contracts are being ...
We analyze the clusters of code clones and the semantics of the code fragments in the clusters in an attempt to categorize them and discover the structural models of the patterns in code clones. ...
Meta Model for the mined domain models
resources and an active involvement of online community in developing DApps have made the software developers of traditional programming languages to rely on standards ...
arXiv:2203.00771v1
fatcat:y6tjo25d4benbeeooi4wupogwa
Modeling Frameworks for Knowledge Engineering Approaches
2022
Journal of Computing and Natural Science
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Human knowledge was regarded as a transfer process into an applied knowledge base in the early 1980s as the creation of a Knowledge-Based Systems (KBS). ...
Here, we demonstrate a number of new ideas and approaches that have emerged during the last few years. ...
DesignKARL is a KARL extension that adds more primitives for organizing the KARL Model and specifying data mining algorithms kinds. ...
doi:10.53759/181x/jcns202202003
fatcat:lrkfbb3f5jgitgzfavtop5avru
Data Science Competence Framework (Cf-Ds): Approach And Working Version
2016
Zenodo
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, and for companies to better define a set of required competences and skills for their specific industry domain in their search for Data Science talents, on the other hand. ...
CF-DS will provide a basis for Data Science Body of Knowledge (DS-BoK) and Model Curriculum (MC-DC) definitions, and further for the Data Science Professional certification. ...
It serves as a foundation for the definition of the Data Science Body of Knowledge and Data Science Model Curriculum. ...
doi:10.5281/zenodo.159438
fatcat:iq3ce3ygzbfvpmfgnxwyduappa
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