3rd International Workshop on Information Systems Engineering for Smarter Life

In the era of digitalization, new technologies (Internet of Things, Augmented Reality, Cyber-Physical Systems, Cloud Computing, Machine Learning, and so on) change not only the functioning of enterprises and organizations, but also all aspects of human life: smart buildings and vehicles, digitally-enhanced visits for museums, robots assisting disabled people, serious games for learning… the list is long. These various technologies are intended to improve or enhance life of humans. In one way or another, they contribute to a Smarter Life.

Until now, digital technologies have been brought into the game as silo solutions. Reasoning holistically about information in the context of a bank or a manufacturing plant is routine practice. However, it is less common with the application of emerging technologies in everyday public life. We deeply believe that methods, models, and techniques inherited from IS engineering research can considerably improve how humans interact with the digital world and will significantly change the user experience.

This 3rd edition of the ISESL workshop will be dedicated to the preparation of a book on Smart Life Engineering. We are currently working on this edited book. We have selected 20-30 published papers that we plan to develop as the first book on the engineering of smart applications in many different societal
sectors. We want to invite these authors on a personal basis for the Joint Book Editing Meeting workshop to discuss the book and their chapters in depth. After the workshop, the chapters should have gained in quality and coherence within the overall theme of Smart Life Engineering.

  • Chairs: Elena Kornyshova, Rébecca Deneckère, Eric Gressier Soudan, John Murray, and Sjaak Brinkkemper

1st International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems.

Hybrid Artificial Intelligence is the research direction that focuses on the combination of two prominent fields sub-symbolic AI (e.g., machine learning, deep learning, neural networks) and symbolic AI (e.g., knowledge graphs, knowledge representation and reasoning, knowledge engineering, knowledge-based systems). Approaches from both fields have complementary strengths and enable the creation of Intelligent Information Systems (IIS).
For example, whilst neural networks can recognize patterns in large amount of data, knowledge-based systems contain domain knowledge and enable logical reasoning and explainability of conclusions. The creation of IIS requires high expertise in both AI approaches and an addressed application domain. An early inclusion of domain experts in the engineering process would promote high quality of an IIS and would reduce its building time. Such an early inclusion is, however, challenging because AI experts and domain experts typically speak different languages: one more technical and one more business oriented. Enterprise Modelling (EM) can tackle this challenge as it supports the alignment of business and IT.
EM is an established approach for the conceptual representation, design, implementation and analysis of information systems. Structural elements of enterprise models are supplemented with graphical notation, which fosters human interpretability, hence supporting design decisions and communication. The convergence of Hybrid Artificial Intelligence and Enterprise Modelling promises to deliver high value in the creation of Intelligent Information Systems.

Knowledge Graphs for Semantics-driven Systems Engineering

The goal of this workshop is to stimulate research work about how Knowledge Graphs can add context and flexibility to information systems, enabling semantic enrichment and reasoning capabilities for their operation or engineering processes.
Knowledge Graphs have been primarily investigated as engineered artifacts by themselves – from their underlying formalisms (e.g. description logics), enabling technologies (e.g. RDF, LPG) to their knowledge management and semantic enrichment capabilities.
With this workshop we aim to shift focus from what Knowledge Graphs are, or how they can be built, towards how they can be relevant to Information Systems engineering. We also aim to investigate their place in the Conceptual Modeling paradigm, specifically how Knowledge Graphs can enable new flavors of model-driven engineering or low-code engineering. Research advances on the interplay between Knowledge Graphs and Machine Learning or Natural Language Processing for systems engineering purposes are also welcome.
Various stages of research maturity can be reported in the workshop contributions – from position and vision papers to experience reports and full research papers.

35th International Workshop on Blockchain for Information Systems

Blockchain technology supports the execution and storage of transactions in a decentralized, transparent and immutable fashion. It is part of a broader set of technologies referred to as Distributed Ledger Technologies (DLTs). Cryptocurrencies represented the first major application of blockchain. Then, the development of smart contracts has provided the opportunity to manage other types of assets and to implement business logic running on blockchain platforms. Finally, the era of broader applications of blockchain technology beyond currencies, finance and markets has emerged.
The opportunities related to the evolution of blockchain technology, along with their challenges have generated a strong and continuously growing interest from industry and academia in the engineering of blockchain-based information systems, and more particularly, in the engineering of blockchain-based solutions for Business Process Management (BPM). Beside classical engineering questions, new and specific challenges arise for blockchain-based solutions for organizations and for BPM, to which conceptual modeling, databases, ontology engineering and information systems communities could provide relevant answers. In particular, the workshop focuses on the definition of requirements for, development, use, and evolution of blockchain-based solutions.

  • Link: https://www.bc4is.com/
  • Chairs: Victor Amaral de Sousa, Sarah Bouraga, Corentin Burnay (+steering committee)

16th International Workshop on Value Modeling and Business Ontologies

The importance of modeling the essence of enterprises on a level that abstracts from operational details is increasingly recognized. Abstraction is needed for achieving interoperability and data integration, for instance. Ontological inquiry has received renewed interest because of the advent of complex information systems which rely on robust and coherent, formal representations of their subject matter. Two established enterprise modeling approaches are value modeling and business ontology. Value modeling is a business modeling approach that focuses on the value objects exchanged in business networks. Business ontology provides abstract descriptions of enterprises in their business context, focusing on what is needed to create and transfer value. Research in these fields is conducted using instruments like the REA Ontology (Resources, Events, Agents), the Unified Foundational Ontology (UFO), the Business Model Canvas, the e3value toolset, the Value Delivery Modeling Language (VDML), and the Enterprise Engineering framework. The goal of the VMBO workshop series is two-fold: (i) to bring together researchers with an interest in value modeling and business ontology to present and discuss the current state of the art; (ii) to identify key areas for further research.

2nd International Workshop on Decentralized Governance Design

CAiSE has a long history for advanced computer systems. As such CAiSE community recognizes the emergence of the Decentralized Web 3.0, and acknowledges that this evolvement goes hand in hand with Decentralized Governance Design. Decentralized Web 3.0 is the next evolutionary step of the internet, and it is defined by focus on end-user sovereignty which is translated in decentralized design, which can be achieved through several advanced computer systems and technology such as blockchain. We define decentralized governance as the rules of engagement decided by peers collaboratively instead of a centralized actor deciding the rules. We have entered the age of computational trust, in which network regulation is possible without a centralized party. Without a centralized actor, a self-organizing ecosystem requires a decentralized design approach, we refer to that as Decentralized Governance Design. Decentralized web 3.0 requires an innovative and computational approach in developing computer systems that will align with decentralized technology architectures.

2nd International Workshop on Agile Methods for Information Systems Engineering

2nd International Workshop on Agile Methods for Information Systems Engineering (Agil-ISE23). The practice of Information Systems Engineering (ISE) has evolved substantially because of adoption of agile methods. These agile methods for ISE focus on continuous and iterative improvement of usable/deployable releases, often driven by the actual user/customer experience with the information system. An iteration within this development process includes requirements analysis, system design, implementation, and testing; and user/customer acceptance, with the aim of continuous enhancement of the delivered features. This workshop focuses on agile practices, such as behavior-driven development, test-driven development, rapid prototyping, agile product management, agile governance, agile process customization/tailoring, and artifacts, such as user stories, features, scenarios, product/sprint backlogs, Kanban boards, that are used in ISE. The theme we wish to discuss at the workshop is:ֺ How can artifacts and practices be improved or innovated to make them more effective in supporting the agility of ISE processes? We intend to discuss this question primarily, but not exclusively, from the perspective ofֺnovel digital technologiesֺandֺdata-driven approaches (e.g., AI, NLP, ML, etc.), focusing on the application of state of the art research approaches.

3rd International Workshop on Model-driven Organizational and Business Agility

The MOBA Workshop aims at scientific and pragmatic exploration of organizational and business agility or Enterprise Agility as whole. MOBA tries to find analogies and the common theoretical background for model-driven studies of organizational and business agility from various perspectives ranging from formal mathematical approaches to soft skills, by which it tries to harmonize it. In order to model and study organizational and business agility from system perspective, MOBA workshop pursues a goal to develop foundations for consolidation of best practices from industry, enterprise architecture, semantic interoperability, model-driven design of information systems, models validation, business value co-creation. Selected papers of MOBA will be published in the Springer series of LNBIP as post-event proceedings.
Within the scope of MOBA workshop the MOBA Master & Doctoral Consortium (MOBA MASDOC) is planned for master and doctoral students whose research is related to the MOBA research topics at any stage in their thesis. Its main objective is to help the students with their thesis by giving feedback on their own research work as well as to give some general advice on making the most of their research environment.

  • Link: https://moba.hse.ru
  • Chairs: Joseph Barjis, Eduard Babkin, Pavel Malyzhenkov and Vojtěch Merunka

1st Workshop on Modelling and Implementation of Digital Twins for Complex Systems

The concept of Digital Twin is becoming increasingly popular since it was introduced in the scope of the Smart Industry (Industry 4.0). A Digital Twin (DT) is a digital representation of a physical twin that is a real-world entity, system, or event. It mirrors a distinctive object, process, building, or human, regardless of whether that thing is tangible or non-tangible in the real world. The ultimate purpose of Digital Twins is to improve decision-making for solving real-world problems by using the digital model to create the information necessary for decision-making and subsequently applying the decisions in the real world. Nowadays, Digital Twins are not limited to industrial applications but are spreading to other areas as well, such as, for example, in the healthcare domain, in personalised medicine and clinical trials for drug development.
This workshop aims at getting a better understanding of the techniques that can be used to model and implement Digital Twins and their applications in different domains. In this workshop, we welcome contributions that aim at introducing formal definitions of Digital Twin but also contributions that describe applications of Digital Twins in different domains. Contributions on tooling for Digital Twins are also welcome.