I-2312 - Phd Student Semantic Drift in Model-driven

il y a 2 semaines

EschsurAlzette, Esch-sur-Alzette, Luxembourg Luxembourg Institute of Science and Technology (LIST) Temps plein

Are you passionate about research? So are we Come and join us:

The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT.

By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.


You 'd like to contribute as PhD student? Join our IT for Innovation Services department:

The IT for Innovative Services (ITIS) department, with its 100 researchers and engineers, focuses on the digital transformation of operations in organizations with traditional environments and digital ecosystems, with the aim of improving their performance and innovation capacity.

The common thread throughout ITIS is to develop the most efficient use of big data to ensure the most appropriate decision-making processes.

The department relies on the

Data Analytics Platform:
a hybrid infrastructure covering the entire range of data analytics activities.

The platform is based on three pillars:
a high-performance computing (HPC) infrastructure, a cognitive analytics pillar and an interactive visualization wall (Viswall).

Responsibilities:

How will you contribute?:


In order to be efficient, the ecosystem of models forming a MDDT should be a consistent whole: composed of conceptually aligned models (i.e., views) and metamodel (i.e., viewpoints).

Integrating models into a federation of models [3] produced by different actors (experts and non-experts) and representing different domains is a real challenge, even when considering mature model engineering approaches [4].


At the border of each models, beyond the _a priori _conceptual knowledge expression, the stakeholder will certainly have to negotiate, make compromises and understand each other's.

Thus, the models supporting them may have to be adapted:
from one standard to another, adding/removing elements, etc. _i.e.,_ making the models flexible [6] to share a common view on a given problem. As a result, each concept behind the models can have slightly different interpretation (reinforced in informal languages).

This will lead to:
(i) a semantic mismatch and (ii) a semantic drift induced by the evolution of the models during their lifecycle [5] that should be captured and assimilated during the semantic harmonization.

  • Acquire a deep and clear understanding of the literature of the field semantic drift and model alignment, and model flexibility
  • Detect and characterize semantic drift and mismatch
  • Propagate the detected drift/mismatch to other artifact in order to federate a set of interconnected models
  • Participate in the development of tools supporting the proposed approach and its evaluation on dedicated use-case from the mobility domain.
References

[1] Grieves, M.

, & Vickers, J Digital twin:
Mitigating unpredictable, undesirable emergent behavior in complex systems. In _Transdisciplinary perspectives on complex systems_ (pp Springer, Cham.

[2] Kirchhof, J. C., Michael, J., Rumpe, B., Varga, S., & Wortmann, A. (2020, October). Model-driven digital twin construction: synthesizing the integration of cyber-physical systems with their information systems. In the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems_ (pp

[3] Golra, F. R., Beugnard, A., Dagnat, F., Guerin, S., & Guychard, C. (2016, September). Continuous requirements engineering using model federation. In 2016 IEEE 24th International Requirements Engineering Conference (RE) (pp IEEE.

[4] A. Wortmann, O. Barais, B. Combemale, and M. Wimmer. Modeling Languages in Industry 4.

0 :
an Extended Systematic Mapping Study. Software and Systems Modeling, 19(1) :67-94, January 2019.

[5] Stavropoulos, T. G., Andreadis, S., Kontopoulos, E.

, & Kompatsiaris, I SemaDrift:

A hybrid method and visual tools to measure semantic drift in ontologies. _Journal of Web Semantics_, _54_,

[6]

JSMF:

A Javascript Flexible Modelling Framework,
JS Sottet, N Biri Workshop on Flexible Model Driven Engineering (FlexMDE16) organised at Models Conference.

, 2016

Activities

Write a PhD thesis in the field of computer science

  • Participation to training activities and research workshops
  • Presentation of papers at academic conferences
  • Writing of research papers and publication of peerreviewed journal articles
  • Participation at public history and outreach activities of LIST
Must Have Requirements
You hold a Master's degree or diploma in computer science or data science. You have good knowledge engineering, model engineering or software engineering.

You are used to communication effectively in English, both in writing and orally.

Additionally, you have good knowledge in Knowledge representation and Model Driven Engineering. You have good knowledge in Modelling, including system m

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