Yannick Naudet

• Dr. Sc.
• Scientific Coordinator at Luxembourg Institute of Science and Technology (LIST)

In modern Cyber-Physical Enterprises, the place of cognition to build more flexible, autonomous, self-adaptive and ultimately more intelligent systems remains unclear. However it could be an essential element to ensure interoperability, as highlighted in recent works on cognitive interoperability. Assuming an environment where cyber-physical system...

Human Digital Twins (HDTs) are an emerging concept with the potential to create human-centric systems for Industry 5.0. The concept has rapidly spread to new application domains, most notably Healthcare, leading to diverging conceptual interpretations. This Systematic Literature Review analyses the conceptual understanding of HDTs across all applic...

Due to their value and interconnected role in our societies, critical infrastructures are vulnerable national assets increasingly becoming targets of cyber-attacks. Despite there being a multitude of training programs in cybersecurity offered, human errors are still accountable for a majority of breaches. As current training and awareness courses a...

The transition from automated processes to mechanisms that manifest intelligence through cognitive abilities such as memorisation, adaptability and decision-making in uncertain contexts, has marked a turning point in the field of industrial systems, particularly in the development of cyber–physical systems and digital twins. This evolution, support...

The desire to enhance cyber-physical systems (CPS) with cognitive capabilities represents a significant step forward in the evolution of robotics and intelligent automation. This paper focuses on the application of cognitive architectures to create cognitive CPS with the ability to perceive, reason and learn autonomously and also capable of interac...

Human-Robot Collaboration combines the reliability of robots with human adaptability. It is a prime candidate to respond to the trend of Mass Customization which requires frequent reconfiguration with variable lot sizes. But the close contact between humans and robots creates new safety risks, and ergonomic factors like robot-induced stress need to...

The notion of Cyber-Physical-Social System (CPSS) is an emerging concept developed as a result of the need to understand the impact of Cyber-Physical Systems (CPS) on humans and vice versa. This paradigm shift from CPS to CPSS was mainly attributed to the increasing use of sensor enabled smart devices and the tight link with the users. The concept...

The evolution of smart devices has led to the transformation of many physical spaces to the so-called smart environments collectively termed as Cyber-Physical-Social System (CPSS). In CPSS users co-exist with different stakeholders influencing each other while being influenced by different environmental factors. Additionally, these environments oft...

The notion of Cyber-Physical-Social System (CPSS) is an emerging concept developed as a result of the need to understand the impact of Cyber-Physical Systems (CPS) on humans and vice versa. This paradigm shift from CPS to CPSS was mainly attributed to the increasing use of sensor-enabled smart devices and the tight link with the users. The concept...

A Cyber-Physical-Social System (CPSS) is an emerging paradigm often understood as a physical and virtual space of interaction which is cohabited by humans and sensor-enabled smart devices. In such settings, human interaction behaviour is often different from person to person and is guided by complex environmental and natural factors that are not ye...

A Cyber-Physical-Social System (CPSS) is an emerging paradigm often understood as a physical and virtual space of interaction which is cohabited by humans and sensor-enabled smart devices. In such settings, human interaction behaviour is often different from person to person and is guided by complex environmental and natural factors that are not ye...

This is a concept paper that introduces the Cognitive Internet of Things and particularly the role that human users play in it. The Cognitive Internet of Things, which forms a Collective AI, based on autonomous software agents, with things that can sense, think and act. We address three specific IoT challenges from a human-centred and social way: i...

In Recommender systems, data representation techniques play a great role as they have the power to entangle, hide and reveal explanatory factors embedded within datasets. Hence, they influence the quality of recommendations. Specifically, in Visual Art (VA) recommendations the complexity of the concepts embodied within paintings, makes the task of...

The notion of Cyber-Physical-Social System (CPSS) and similar concepts using different acronyms emerged as a major paradigm shift to facilitate the interaction between human and Cyber-Physical System (CPS). However, human interaction behaviour is the result of multiple social dimensions governed by complex environmental, cultural and contextual fac...

In Recommender systems, data representation techniques play a great role as they have the power to entangle, hide and reveal explanatory factors embedded within datasets. Hence, they influence the quality of recommendations. Specifically, in Visual Art (VA) recommendations the complexity of the concepts embodied within paintings, makes the task of...

The notion of Cyber-Physical-Social System (CPSS) and similar concepts using different acronyms emerged as a major paradigm shift to facilitate the interaction between human and Cyber-Physical System (CPS). However, human interaction behaviour is the result of multiple social dimensions governed by complex environmental, cultural and contextual fac...

The 4th industrial revolution (Industry 4.0) heavily relying on the concept of Cyber-Physical Systems (CPS) has transformed the manufacturing industry into an intelligent environment. Advances in manufacturing and automation industries created hyper-connected industrial ecosystems that are not limited to smart production but also facilitate organiz...

Recent advances in semantic web and deep learning technologies enable new means for the computational analysis of vast amounts of information from the field of digital humanities. We discuss how some of the techniques can be used to identify historical and cultural symmetries between different characters, locations, events or venues, and how these...

In this paper we introduce the notion of personalisation in Cyber-Physical-Social Systems (CPSS). A CPSS is an extension of Cyber-Physical systems involving cyberspace and physical space, in which humans, machines and objects interact adding to the complexity of the system, especially due to the dynamics of human behaviour that is not yet fully und...

The paper presents the H2020 CrossCult project, providing a short overview, a summary of the platform developed by the project, a description of the consortium, lessons learnt in three main dimensions (humanities, technology and business), the open challenges and the main tools developed by the project.

This report presents the CrossCult digital datasets of the four project pilots.It contains a description of the methods and data structures used to semantically model and ingest the digital resources of the pilots into the CrossCult Knowledge Base following the semantics of the CrossCult Upper-level ontology, a set of examples of semantic enrichmen...

This paper presents the Upper-level Ontology and the other ontological schemas and vocabularies that we used to model the semantics of the “world” of CrossCult and its four pilots. It consists of two documents: a report describing the rationale and structure of the ontology and a PDF file containing the definitions of the classes and properties of...

Human History, is a huge mesh of interrelated facts and concepts, spanning beyond borders, encompassing global aspects and finally constituting a shared, global experience. This is especially the case regarding European history, which is highly interconnected by nature; however, most History-related experiences that are today offered to the greater...

This paper presents a smart event mobile application prototype featuring beacon-based indoor geolocation, personalized recommendations and automated user interface adaptation. Focus is given here to the recommendation function, which exploits professional social network mining and semantic concept identification. We report its use in real condition...

Contrary to many application domains, recommending items within a museum is not only a question of preferences. Of course, the visitors expect suggestions that are likely to interest or please them. However, additional factors should be taken into account. Recent works use the visiting styles [1] or the shortest distance between items [2] to adapt...

In this paper we propose a new approach to complex comfort management based on ontologies, being the main result of undergoing GOLIATH project. The approach comprises an application of Internet-of-Things (IoT) devices, an abstraction layer (SITE), a smart IoT middleware and a Multi-Agent System (MAS). Those elements allow a user to ask the system i...

The report presents a collaborative effort of the four pilots, which took place in the first six months (M1-M6) of the project and focused on: 1) refining the original scenarios, 2) capturing the requirements, 3) defining the evaluation framework, 4) identifying the contributing technologies, 5) specifying the core gameplay for the four pilots and...

Risk management in the field of information security is most often handled individually by enterprises, taking only a limited view on the influential factors coming from their providers, clients or more globally from their environment. This approach becomes less appropriate in the case of networked enterprises, which tend to form ecosystems with co...

From a Complex Adaptive Systems (CAS) theory perspective a new approach for supporting Enterprise Interoperability (EI) is described. Particular needs informed by the theory are presented and a software environment supporting these requirements is proposed. The infrastructure aims at serving as a tool for solving problems in the EI domain, and incl...

When personalities clash, teams operate less effectively. Personality differences affect face-to-face collaboration and may lower trust in virtual teams. For relatively short-lived assignments, like those of online crowdsourcing, personality match- ing could provide a simple, scalable strategy for effective team formation. However, it is not clear...

This paper details and discusses experimental results obtained towards personalizing a museum visit through a personal mobile guide, using an approach relying on users' cognitive style, gaming, social networks, and recommendations. It describes the personalization system, which relies on a Facebook game to infer users' cognitive style, visiting sty...

"Does placing workers together based on their personality give better performance results in cooperative crowdsourcing settings, compared to non-personality based crowd team formation?" In this work we examine the impact of personality compatibility on the effectiveness of crowdsourced team work. Using a personality-based group dynamics approach, w...

This chapter presents the stakes linked to the diversity of resources recommended by recommender systems. It describes approaches for evaluating and increasing the diversity within current recommender systems. Recommender systems adapt a selection (filtering) or a resource (adaptation) to a person (personalization), a group of people (group persona...

This paper discusses the use of personalisation in crowd systems. Crowd Systems are systems, which may be virtual or physical, and which involve a crowd of people in the realisation of one or more systemlevel objective(s). We define Crowd Systems in terms of the General System Theory, propose a classification scheme and discuss their complexity. Th...

Collaborating business organisations have to face the challenge of being interoperable despite the growing complexity of products and services, and despite the increasing agility requirements. Changes to products and services and to supply network configurations occur frequently and require to maintain interoperability constantly in a dynamic way....

In this paper, we discuss the use of the General Systems Theory, for Enterprise Interoperability (EI). We review the main systemic concepts and models, highlighting the systemic concepts related to the enterprise domain, that are important for interoperability. In particular we survey the Ontology of Enterprise Interoperability (OoEI) based on the...

In this paper the authors propose a crowd coordination mechanism to increase the quality of articles produced in wiki systems. Wikis constitute promising social digital ecosystems for collaborative knowledge creation on the Web. However, as a result of the purely self-coordinated manner that they function, they cannot ensure the quality of the prod...

This chapter presents recent research results towards providing context-aware recommendations in the future internet, based on semantic modelling of knowledge and recommending approaches mixing both semantic and fuzzy processing for better personalisation. It focuses on an Hybrid Ad-hoc Network environment, constituting a common communication infra...

Version française du chapitre "Recommender Systems and Diversity: Taking Advantage of the Long Tail and the Diversity of Recommendation Lists" - https://onlinelibrary.wiley.com/doi/book/10.1002/9781119054252

Version anglaise du chapitre "Recommandeurs et diversité : exploitation de la longue traîne et diversité des listes de recommandations" - ISTE

This paper presents an approach to enhance museum visitors experience through the use of Gaming, Social Networks and Recommendations. The originality of the dedicated social and mobile visit personalisation system is that it relies on the user’s cognitive profile in addition to his interests, both inferred from a game on Facebook.

This paper presents an innovative approach based on social-network gaming, which will extract players’ cognitive styles for personalization purposes. Cognitive styles describe the way individuals think, perceive and remember information and can be exploited to personalize user interaction. Questionnaires are usually employed to identify cognitive s...

A crowdsourced stream processing system (CSP) is a system that incorporates crowdsourced tasks in the processing of a data stream. This can be seen as enabling crowdsourcing work to be applied on a sample of large-scale data at high speed, or equivalently, enabling stream processing to employ human intelligence. It also leads to a substantial expan...

Crowdsourcing is increasingly gaining attention as one of the most promising forms of large-scale dynamic collective work. However current crowd-sourcing approaches do not offer guarantees often demanded by consumers, for example regarding minimum quality, maximum cost or job accomplishment time. The problem appears to have a greater impact in corp...

In this paper, we elaborate on the Enterprise Architecture (EA) and how it can be improved by using Enterprise Interoperability (EI) requirements. We describe how enterprise interoperability is related to EA concepts by especially analysing the de�nition and the founda- tion of interoperability, highlighting the relationships with EA. We then propo...

This paper investigates the effect that smart routing and recommendations can have on improving the Quality of Experience of museum visitors. The novelty of our approach consists of taking into account not only user interests but also their visiting styles, as well as modeling the museum not as a sterile space but as a location where crowds meet an...

This paper presents MKM, a meta-knowledge model to manage knowledge reliability, in order to extend a CBR system so that it can reason on partially reliable, non expert, knowledge from the Web. Knowledge reliability is considered from the point of view of the decision maker using the CBR system. It is captured by the MKM model including notions suc...

As technology becomes more far-reaching and interconnected, the need of interoperability is becoming increasingly important. The Ontology of Enterprise Interoperability (OoEI) was defined as a scientific reference model regarding interoperability leading to a common understanding involving this topic. The OoEI was proposed in the general context of...

This deliverable updates the scenarios and requirements described in D2.1.2 to include on-demand features identified during connectivity phase development, the usage by driving experiments and experiments funded through the open calls. The document provides a description of the functionality that needs to be developed within the expansion phase, to...

In this paper, we present an approach to weight the influence of context regarding user interests in content-based recommendations. The balance between interest-content matching and situation matching is formalized using a Fuzzy model, allowing more intuitive personalization. Using content consumption history, this model can be optimized from an in...

Semantic similarity measures aim at computing a value that represents to what extent two semantic resources are similar. This paper proposes an extension of a semantic similarity measure for large linked data sources such as DBPedia. In order to evaluate and compare similarity measures, an experiment is described to collect human evaluations of the...

To further improve individual health and well-being, access to high quality and safe services, eHealth interoperability is a fundamental prerequisite. A mature interoperability between health systems will support health services organization and delivery, and improve citizens' awareness of how to prevent disease and preserve good health. Within thi...

Since the advent of the Web 2.0, the amount of digital data available became increasingly overwhelming for a user looking for specific information. As a consequence, personalisation systems aiming at assisting the user in this task have emerged. The use of semantic web technologies to represent user profiles and their interests has shown some promi...

There have been several ontologies developed for context-aware systems and frameworks based on semantic reasoning. In parallel, efforts have been made towards the realisation of ontologies for sensors and observations. While the main inputs of context-aware systems are observations provided by sensors, context ontologies focus only on expressing co...

To survive in a competitive environment, enterprises have to solve interoperability problems or prevent them to appear, and if possible avoid them by choosing suitable partners having a good interoperability potential. This paper proposes and discusses decision support to enterprise interoperability establishment using MMEI (Maturity Model for Ente...

The Web service requests are increasingly complex, the complex request requires many functionalities having any dependencies, binary dependencies or global dependencies. The request can requires also constraints, objectives and conditions. All requested elements having a semantically links which they are defined as an ontology. The ontology can be...

Measuring interoperability maturity allows a company to know its strengths and weaknesses in terms of interoperability with its current and potential partners, and to prioritize improvement actions. Existing maturity models however cover only few aspects of interoperability. This paper aims at presenting a Maturity Model for Enterprise Interoperabi...

In a globalized and networked society, interoperability is a pervasive topic as it is a key factor of success for enterprises to meet their own added values and to exploit the market opportunities. This paper aims at presenting a model based on enterprise interoperability potential following the maturity models approach. Interoperability potential...

In the future Internet, context-aware content transmission should be done seamlessly. However, context aggregation and handling in today's communication networks is still a challenging problem as mobility of nodes and users makes information routing as well as context processing difficult. We suggest here that the paradigms of content object and co...

In this paper, we present an approach for high stake decision making based on the processing of uncontrolled knowledge originated from e-communities. Knowledge bases fed by such communities can provide a very rich source for a diagnosis or decision-support systems. However, they inherently bear inherent problems due in particular to knowledge heter...

The main purpose of this paper is to present a new approach for High-Stake Decision Support Systems. We introduce the challenge of the exploitation of heterogeneous community-based knowledge for decision-aid in critical situations. Knowledge shared in e-communities can be very rich, but is also inherently chaotic and questionable. Such uncontrolled...

E-government services are actually a major stake for public administrations. However, regarding perceived quality, no models, neither measurement scales are specifically developed for them. A literature review, from a critical point of view, leads to the conclusion that actual perceived quality models are not taking enough into account end-users. T...

This paper presents the concepts of ontology-based personalisation for the recommendation of contents adapted to the user and his context. This approach is presented and illustrated through two use cases in the television and commerce domains, which have been prototyped in the framework of different European research projects.

In the web services domain, answering users' needs sometimes requires the construction of new services based on existing ones. This problem is known as services composition. It consists in combining existing basic services into more sophisticated ones, which are able to meet users' needs. The composition may be driven by various motivations. In the...

In this chapter, we present a recommending system that has been developed for filtering TV content provided to users on their mobile devices. This recommender is fully based on ontologies which are used to formalize both the user and her/his interests, and the audiovisual content. The developed ontologies allow matchmaking between user and content...

Interoperability has been mainly approached from an IT point of view or enterprise collaboration perspective. This paper aims at contributing to develop a science base for interoperability by studying interoperability on the basis of the system theory. The main contribution is to propose a formalisation of interoperability grounded in the general s...

Future Internet resources include many physical and conceptual resources, which can be described and documented by structured data. They can even publish themselves structured data on the Web. These new actors will raise significant challenges to adapt linkage mechanisms between datasets on a larger scale and implement them as part of the Future In...

Automatic composition of web services supports the solving of complex user request. The set of possible solutions can be represented by a graph, modeling the composition. Usually, this kind of approach is highly simplified by considering only sequences of services. This paper proposes an algorithm for automatic semantic web services composition, wh...

In the framework of context-awareness in mobile networks, handling both user and context in a homogeneous way is a key concern. It is particularly important in a recommendation process where imprecise user-defined values are compared with sensor inputs. This paper reports work in progress towards the realisation of a common representation framework...

Existing interoperability maturity models are fragmented and only cover some interoperability aspects. This paper tentatively proposes a maturity model for enterprise interoperability which is elaborated on the basis of existing ones. It is also consistent to the Enterprise Interoperability Framework currently under the standardization process. Aft...

This chapter focuses on the challenge of developing a comprehensive model of knowledge value tracking within virtual Communities of Practice (CoPs) outlining the conditions of knowledge value creation, diffusion and storing. Built upon a study of participation and reification processes within virtual CoPs, the model identifies and articulates three...

In this paper, we discuss the use of the Systems science, starting from the General Systems Theory, for Enterprise Interoperability (EI). We review and discuss main systemic concepts, highlighting the system properties that are important for interoperability and solutions to deal with related issues at a systemic level. We then propose an ontology,...

We present here a recommending system that has been developed for filtering TV content provided to mobile devices users. This recommender is fully based on ontologies, which are used to formalize both the user and her/his interests, and the audiovisual content. The developed ontologies allow matchmaking between user and content at different levels,...

In this short paper, we present a series of ontologies allowing modeling of user, multimedia content and context, and a rule-based matchmaking approach for recommending systems. Category-based preferences as well as the expression of any interest concerning a concept formalized in an ontology are allowed. Furthermore, recommendations can be provide...

Developing interoperability implies defining metrics to measure the degree of interoperability between systems. One of the measures is concerned with the use of maturity models, describing the stages through which systems should evolve to reach higher completeness in the realization of a given objective. This paper reviews the main maturity models...

Purpose – By providing interoperability users can be supported in sharing and reusing vocabularies and knowledge. Ontology alignment plays an important role in the context of semantic interoperability. Usually ontology alignment tools generate results that are difficult to understand or assess. In order to enable users to check and improve alignmen...

With a first version developed last year, the Ontology of Interoperability (OoI) aims at formally describing concepts relating to problems and solutions in the domain of interoperability. From the beginning, the OoI has its foundations in the systemic theory and addresses interoperability from the general point of view of a system, whether it is co...

The ability of a system to interoperate with another is a multi-dimensional concern which must be considered simultaneously from different perspectives and covering all the concerns relevant for different stakeholders. In this paper, we present a model of interoperability for service-based inter-enterprise computing environments which is based on t...