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Graduate School of Electronics of the West, France

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22 Papers

An Advanced Entity Resolution in Data Lakes: First Steps

Topics: Business Intelligence; Data Pipelines & ETL

Authors: Lamisse Bouabdelli ^{1

;

2} , Fatma Abdelhedi ² , Slimane Hammoudi ³ and Allel Hadjali ¹

Affiliations: ¹ LIAS Laboratory, ISAE-ENSMA, Poitiers, France , ² CBI² Research laboratory, Trimane, Paris, France , ³ ESEO, Angers, France

Digital Object Identifier: 10.5220/0013643200003967

Proceedings of DATA 2025, ISBN: 978-989-758-758-0

Quick Abstract

Entity Resolution (ER) is a critical challenge for maintaining data quality in data lakes, aiming to identify different descriptions that refer to the same real-world entity. We address here the problem of entity resolution in data lakes, where their schema-less architecture and heterogeneous data sources often lead to entity duplication, inconsistency, and ambiguity, causing serious data quality issues. Although ER has been well studied both in academic research and industry, many state-of-the-art ER solutions face significant drawbacks. Existing ER solutions typically compare two entities based on attribute similarity, without taking into account that some attributes contribute more significantly than others in distinguishing entities. In addition, traditional validation methods that rely on human experts are often error-prone, time-consuming, and costly. We propose an efficient ER approach that leverages deep learning, knowledge graphs (KG), and large language models (LLM) to automate and enhance entity disambiguation. Furthermore, the matching task incorporates attribute weights, thereby improving accuracy. By integrating LLM for automated validation, this approach significantly reduces the reliance on manual expert verification while maintaining high accuracy.

The Future of BPM in the Era of Industry 4.0: Exploring New Opportunities for Innovation

Topics: Business Modeling and Business Process Management; Digital Transformation; Enterprise Architecture and Industry 4.0

Authors: Hadjer Khider ^{1

;

2} , Abdelkrim Meziane ¹ and Slimane Hammoudi ³

Affiliations: ¹ Computer Science Department, Abderrahman Mira University, Bejaia, Algeria , ² Information Systems and Multimedia Systems Department, CERIST, Algiers, Algeria , ³ MODESTE Team, Computer Science Department – ESEO, Angers, France

Digital Object Identifier: 10.5220/0013477300003929

Proceedings of ICEIS 2025, ISBN: 978-989-758-749-8

Quick Abstract

In today's digital age, the fourth industrial revolution has given rise to Industry 4.0. This new paradigm has brought new challenges for organizations, through a digital transformation. This digital transformation has profoundly impacted the way businesses operate, leading to a fundamental shift in the Business Process Management (BPM), affecting business models, processes, products, relationships and competencies. This transformation is based on the use of cyber-physical systems and information and communication technologies, in particular artificial intelligence and the Internet of Things. This paper aims to identify and define the main challenges, limitations, and opportunities of BPM in the era of Industry 4.0. Furthermore, it aims to identify potential future research directions. in addition to analyzing the impact of Industry 4.0 concepts and related technologies on the management of organizations and their business processes.

BPM in the Era of Industry 4.0: A Bibliometric Analysis

Topics: Business Modeling and Business Process Management; Digital Transformation; Enterprise Architecture and Industry 4.0

Authors: Hadjer Khider ^{1

;

2} , Slimane Hammoudi ³ , Abdelkrim Meziane ¹ and Alfredo Cuzzocrea ⁴

Affiliations: ¹ Information Systems and Multimedia Systems Department, CERIST, Algiers, Algeria , ² Computer Science Department, Faculty of Exact Sciences,University of Bejaia, Bejaia 06000, Algeria , ³ ERIS Team, Computer Science Department – ESEO, Angers, France , ⁴ iDEA Lab, University of Calabria, Rende, Italy

Digital Object Identifier: 10.5220/0011995200003467

Proceedings of ICEIS 2023, ISBN: 978-989-758-648-4

Quick Abstract

In the age of today's technological development, with the advancement of the digitization of organizations, Industry 4.0 (I4.0) has evolved as a consequence of the fourth industrial revolution, leading industry to face a digital transformation (DT). This transformation is based on the use of cyber-physical systems (CPS) and information and communication technologies (ICT), in particular artificial intelligence (AI) and the Internet of Things (IoT). This new paradigm has brought changes in various areas of the functioning of the organization through a DT that holistically affects business processes, products, relationships and competencies which is a major challenge for organizations. This paper is dedicated to analyze the literature on BPM in the digital industry era through a bibliometric analysis, in order to analyze the impact of the I4.0 concepts and their associated technologies on the BPM, which will allow to determine the main BPM issues.

Toward a Context-aware Process Model Repository

Topics: Enterprise Architecture; Process Modeling; Sustainability

Authors: Hadjer Khider ^{1

;

2} , Slimane Hammoudi ³ and Abdelkrim Meziane ²

Affiliations: ¹ Computer Science Department, Faculty of Exact Sciences,University of Bejaia, Bejaia 06000, Algeria , ² Information Systems and Multimedia Systems Department, CERIST, Algiers, Algeria , ³ ERIS Team, Computer Science Department, ESEO, Angers, France

Digital Object Identifier: 10.5220/0011386400003280

Proceedings of ICSBT 2022, ISBN: 978-989-758-587-6

Quick Abstract

Many challenges face the enterprises in constantly changing business environment. This requires them to continually consider the context(s) in which they operate to better respond to the challenges they face. Business Process Management (BPM) has become an important approach to create efficient business processes (BPs), which can evolve quickly to adapt to a rapidly changing business environment. The reuse of already designed BP models can improve the agility of defined BPs to address new issues that arise in today’s rapidly evolving business environment. Involving context into the current process model repositories is a real challenge. In this paper, we propose an architecture for context-aware process model repository to improve the reusability of the BP models and better meet the expectations of its stakeholders. We also present in this paper a comparative study of the different context-aware BPM approaches, in addition to the contextual factors that influence the reuse of BP models in the current process model repositories.

Business Process Model Recommendation as a Transformation Process in MDE: Conceptualization and First Experiments

Topics: Business Process Modeling; Model Transformations and Generative Approaches; Frameworks for Model-Driven Development

Authors: Hadjer Khider ^{1

;

2} , Slimane Hammoudi ³ and Abdelkrim Meziane ²

Affiliations: ¹ Computer Science Department, Faculty of Exact Sciences, University of Bejaia, Bejaia 06000, Algeria , ² Information Systems and Multimedia Systems Department, CERIST, Algiers, Algeria , ³ ERIS Team, Computer Science Department – ESEO, Angers, France

Digital Object Identifier: 10.5220/0009155600650075

Proceedings of MODELSWARD 2020, ISBN: 978-989-758-400-8

Quick Abstract

Business Process (BP) model repositories have been proposed to store models of BP and make them available to their stakeholders for future reuse. One of the challenges facing users of such repositories concerns the retrieval of models that suit their business needs in a given situation, which is not provided by current repositories. In order to overcome this lack, one important issue to investigate is to provide recommendation of BP models based on the user profile as the most important way to better meet his business needs which promote BP model reusability. In this paper, we propose a conceptual framework of BP model recommendation based on the user social profile and implemented as a transformation process in model driven engineering (MDE). In our experiments, the LinkedIn social network is used to extract the users’ business interests. These user business interests are then used to recommend the appropriate BP models that could fit to the user. Our proposed framework is based on model driven architecture (OMG MDE approach) where techniques of models, metamodels, transformation and weaving are used to implement a generic recommendation process.

Cost-efficient Localisation System for Agricultural Use Cases

Topics: Internet of Things; Remote Sensing and Telemetry; Multi-Sensor Data Processing; Aggregation, Classification and Tracking; Modeling and Simulation; Connected Vehicles

Authors: Gábor Paller ¹ , Sébastien Aubin ² , Gábor Élő ¹ and Olivier Camp ²

Affiliations: ¹ Széchenyi István University, Hungary , ² ESEO, France

Digital Object Identifier: 10.5220/0006137501420149

Proceedings of SENSORNETS 2017, ISBN: 978-989-758-211-0

Quick Abstract

Connected agricultural applications often depend on exact localisation solutions. Often the term “precision agriculture” implies a technology that identifies the location of the livestock, crop, field of agricultural machinery with more or less of precision. While precision requirements vary, the localisation often has to be quite precise like sub-meter or even decimeter precision. Dual-band GPS solutions are able to satisfy these high-precision requirements but these equipments are quite costly and their purchase is often regulated. This paper presents two agricultural use cases and the combination of low-cost GPS and short-range localisation systems that are able to satisfy high-precision requirements for fraction of the costs of dual-band GPS.

Related Ontology Subjects/Areas/Topics (14)

Aggregation, Classification and Tracking	Multimedia	Sensor Networks
Data Communication Networking	Multimedia Signal Processing	Software Agents and Internet Computing
Data Manipulation	Multi-Sensor Data Processing	Software and Architectures
Enterprise Information Systems	Obstacles	Telecommunications
Internet of Things	Remote Sensing

A New Flexible Method for Advising Metamodel Matching

Topic: Meta-Modeling: Foundations and Tools

Authors: Lamine Lafi ¹ , Jamel Feki ² and Slimane Hammoudi ³

Affiliations: ¹ University of Gabès, Tunisia , ² University of Sfax, Tunisia , ³ ESEO, France

Digital Object Identifier: 10.5220/0004714903760383

Proceedings of MODELSWARD 2014, ISBN: 978-989-758-007-9

Quick Abstract

One relevant issue in metamodel matching is how to select the most suitable matching technique to execute for a given couple of metamodels, and how to adjust parameters (e.g., threshold, F-measure, quality). In this paper, we present a flexible method for selecting the most appropriate metamodel matching technique for a given couple of metamodels. The proposed method assists the user to choose the most suitable matching technique that provides good quality of matches. This method relies on a new quality metric called Score and, on using a decision tree. In order to validate our method, we conduct experimental results on ten real-world metamodels and four recent matching techniques.

Related Ontology Subjects/Areas/Topics (4)

MetaModeling		Paradigm Trends		Software Engineering
Models

Toward the Design of a Generic Model of Interoperability for SIEC - SIEC: Eco-design Information System

Topics: Coupling and Integrating Heterogeneous Data Sources; Middleware Integration

Authors: Mengqiang Yang ¹ , Mongi Smati ¹ , Khalil Khalifa ¹ , Slimane Hammoudi ² , Olivier Beaudoux ² , Olivier Camp ² and Frédéric Saubion ³

Affiliations: ¹ ACV PLUS, France , ² GROUPE ESEO, France , ³ Université d’Angers, France

Digital Object Identifier: 10.5220/0004564103290333

Proceedings of ICEIS 2013, ISBN: 978-989-8565-59-4

Quick Abstract

Faced with the need to take into account environmental impacts, life cycle analysis (LCA) should emerge as an engine for innovation and eco-design. It is clear that there are many barriers to their deployment. There is thus a need for tools to facilitate their integration in business projects. These LCA tools must be compatible with different existing information systems. In addition, it is also necessary that the coupling of the different data sources helps to make decisions. This article shows the requirements of the company ACV Plus in terms of interoperability and HCI (Human-computer Interaction) in order to make its Siec software easily adaptable to various business sectors. Different peripheral tools have been developed to define data exchange formats and meet specific needs. This research aims to develop a generic bus in order to have easier process maintenance and avoid costly development for each new situation. Two PhD thesis have focused on the HCI aspects and on interoperability aspects. More generally, our project aims to develop a new system with interoperable design and management tools that can help any customer in the definition of its environmental projects and eco-design.

Related Ontology Subjects/Areas/Topics (7)

Coupling and Integrating Heterogeneous Data Sources	Enterprise Information Systems	Middleware Platforms
Databases and Information Systems Integration	Middleware Integration	Technology Platforms
e-Business

Discoverying Cloud Services by Preconditions and Effects for Compositions

Topics: Interoperability; Web Services; Semantic Web Technologies and Applications

Authors: Lorena Erdens ¹ , Daniela Barreiro Claro ¹ , Denivaldo Lopes ² and Patrick Albers ³

Affiliations: ¹ Federal University of Bahia (UFBA), Brazil , ² Federal University of Maranhao (UFMA), Brazil , ³ ESEO, France

Digital Object Identifier: 10.5220/0004006302640270

Proceedings of ICEIS 2012, ISBN: 978-989-8565-11-2

Quick Abstract

Nowadays, most of companies deploy their services as a Web service format over the Internet. Additionally, cloud environments are dealing with web services published on the Internet. The use of the services deployed is subject to its discovery. Many techniques are being developed to increase the description of a web service, thus automating their discovery and providing more significant results. Such techniques are based on semantic concepts to provide more unambiguous information on describing such services. This paper proposes to discover cloud services based on the semantic Web, especially on preconditions and effects. Several works have been carried out on preconditions and effects, however we have achieved more accurate results using service descriptions based on conditions. We present our approach examining three main aspects: (i) relevant retrieved services (ii) complexity and (iii) execution time and we compare with other closely related work in an attempt to position our work and our results.

Related Ontology Subjects/Areas/Topics (27)

Artificial Intelligence	Integration/Interoperability	Simulation and Modeling
Biomedical Engineering	Interoperability	Software Agents and Internet Computing
Cloud Computing	Knowledge Management and Information Sharing	Software and Architectures
Collaboration and e-Services	Knowledge-Based Systems	Software Engineering
Complex Systems Modeling and Simulation	Mobile Software and Services	Software Engineering Methods and Techniques
Data Engineering	Ontologies and the Semantic Web	Symbolic Systems
e-Business	Semantic Web Technologies	Telecommunications
Enterprise Information Systems	Sensor Networks	Web Services
Health Information Systems	Services Science	Wireless Information Networks and Systems

MODEL DRIVEN DEVELOPMENT OF CONTEXT-AWARE SERVICES USING PARAMETERIZED TRANSFORMATION

Topics: Service-Oriented Computing; Model-Driven Engineering

Author: Slimane Hammoudi

Affiliation: ESEO 4, France

Digital Object Identifier: 10.5220/0003618202440248

Proceedings of ICSOFT 2011, ISBN: 978-989-8425-77-5

Quick Abstract

Context-aware development has been an emergent subject of many research works in ubiquitous computing. Few of them propose Model Driven Development (MDD) as an approach for context-aware application development. Many focus on context capture and adaptation by the use of legacy architectures and others artefacts to bind context with application logic. This work proposes a new approach called COMODE (Context Aware Model Driven Development) which advocates Model Driven Development to promote reuse, adaptability and interoperability for context-aware application development on service platforms. In this paper we focus on the transformation issue and propose a parameterized transformation as a new approach for model driven development of context-aware services.

Related Ontology Subjects/Areas/Topics (11)

Agents	e-Business	Services
Artificial Intelligence	Enterprise Information Systems	Software Engineering
Communication and Software Infrastructure	Model-Driven Engineering	Software Engineering Methods and Techniques
Cross-Feeding between Data and Software Engineering	Service-Oriented Computing