Call for Papers - EMISAJ Special Issue: "Enterprise Modeling and Knowledge Graphs"

2021-12-23

Editors

  • Robert Buchmann, Babeș-Bolyai University, Romania
  • Georg Grossmann, University of South Australia, Australia
  • Andreas L. Opdahl, University of Bergen, Norway

Scope
In this special issue we seek high-quality contributions that investigate the use of Knowledge Graphs and their underlying technologies for Enterprise Modeling or in convergence with Enterprise Modeling.

Knowledge Graphs have emerged from a long line of research that includes the Semantic Web vision, description logics, computational ontology, Linked Open Data, graph databases, semantic search engines and other semantic technologies. In recent years Knowledge Graphs have matured to become a topical technique for integrating, organizing, analyzing, and reasoning over many different types of information. A recent development is harnessing Knowledge Graphs for machine learning using graph neural networks (GNNs) and other graph embedding techniques.

Important connections between Enterprise Modeling and Knowledge Graphs include mining enterprise models from information in enterprise knowledge graphs or making enterprise models available as part of such graphs. Knowledge Graphs can also be used to enrich and provide context for enterprise models or to empower enterprise Digital Twins. Furthermore, representing enterprise models as Knowledge Graphs invites new types of analysing and reasoning, using techniques such as graph embeddings and description logic. Ontologies can also be used to ground the semantics of enterprise models and modeling languages, or in support of model annotation. The special issue is also interested in applications of Knowledge Graphs for practices that have been traditionally model-based, e.g. enterprise architecture management, business process management, product-service systems or service engineering, business ecosystem or value networks analysis.

Possible Topics include but are not limited to:

  • Mining enterprise models from Enterprise Knowledge Graphs
  • Live enterprise models reflecting dynamic Enterprise Knowledge Graphs
  • Making enterprise models available as (part of) Knowledge Graphs
  • Enriching and contextualizing enterprise models with Knowledge Graphs
  • Analyzing enterprise models using Knowledge Graph embeddings
  • Grounding enterprise model and modeling-language semantics in ontology
  • Reasoning over enterprise models and modeling languages using Description Logics
  • Applying Knowledge Graphs for modeling enterprise interoperability
  • Empowering enterprise Digital Twin design and operation with Knowledge Graphs
  • Low code Enterprise Knowledge Graph building
  • Knowledge Graphs supporting enterprise architecture management
  • Semantic business process management
  • Knowledge Graph benefits for product-service systems and service science
  • Semantic modeling for GRC (governance, risk management and compliance)
  • Digital Transformation via Knowledge Graph adoption
  • Analyzing business ecosystems and value networks with Knowledge Graphs
  • Analyzing conceptual overlapping or convergence between enterprise modeling languages and enterprise ontologies

Associate Editors

  • Giuseppe Berio, Université Bretagne Sud, France
  • Dominik Bork, Technical University of Vienna, Austria
  • Michael Fellmann, University of Rostock, Germany
  • Ana-Maria Ghiran, Babeș-Bolyai University, Romania
  • Mounira Harzallah, University of Nantes, France
  • Knut Hinkelmann, FHNW - University of Applied Sciences and Arts Northwestern Switzerland
  • Paul Johannesson, Stockholm University, Sweden
  • Vinay Kulkarni, TCS Research, India
  • Ben Roelens, Open University, The Netherlands

Important Dates

  • Deadline for Paper Submission: Septmeber 15, 2022
  • First round of reviews completed: November 15, 2022
  • Submission of revisions: January 15, 2023
  • Second round of reviews completed: March 15, 2023
  • Final submission: May 15, 2023
  • Publication of Special Issue: June 15, 2023

Submissions
Submissions must adhere to the author guidelines for EMISAJ, which can be found at https://www.emisa-journal.org/emisa/about/submissions. When submitting the article in the submission system, please make sure to select the section “Special Issue on Enterprise Modeling and Knowledge Graphs”. Please note that EMISAJ is a True Open Access journal (no author fees, no exclusive rights to publish). EMISAJ is indexed in DBLP, EBSCO, and the Emerging Sources Citation Index (ESCI).

References 

  • Buchmann R A, Karagiannis D (2016): Enriching Linked Data with Semantics from Domain-Specific Diagrammatic Models, Business & Information Systems Engineering 58(5):341-353
  • Smajevic M, Hacks S, Bork D (2021): Using Knowledge Graphs to Detect Enterprise Architecture Smells, Proceedings of PoEM 2021, LNBIP 432, Springer, p. 48-63
  • Corea C, Fellmann M, Delfmann P (2021): Ontology-Based Process Modeling-Will We Live to See It? Proceedings of ER 2021, LNCS 13011, Springer, 36-46
  • Fellmann M, Hogrebe F, Thomas O, Nüttgens M (2011): Checking the Semantic Correctness of Process Models - An Ontology-driven Approach Using Domain Knowledge and Rules. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 6(3): 22-35 (2011)
  • Anaya V, Berio G, Harzallah M, Heymans P, Matulevičius R, Opdahl A L, Panetto H, Verdecho M J (2010): The unified enterprise modelling language—overview and further work, Computers in Industry 61(2): 99-111.
  • Opdahl A L, Berio G, Harzallah M, Matulevičius R (2012): An ontology for enterprise and information systems modelling. Applied Ontology, 7(1): 49-92.
  • Sandkuhl K, Fill H G, Hoppenbrouwers S, Krogstie J, Matthes F, Opdahl A, Schwabe G, Uludag O, Winter R (2018): From expert discipline to common practice: a vision and research agenda for extending the reach of enterprise modeling. Business & Information Systems Engineering, 60(1): 69-80.