Ontology-based model-driven patterns for notification-oriented data-intensive enterprise information systems

International audienceIn the fourth industrial revolution, the current Enterprise Information Systems (EIS) are facing a set of new challenges raised by the applications of Cyber-Physical Systems (CPS) and Internet of Things (IoT). In this scenario, a data-intensive EIS involves networks of physical objects with sensing, data collection, transmission and actuation capabilities, and vast endpoints in the cloud, thereby offering large amounts of data. Such systems can be considered as a multidisciplinary complex system with strong interrelations between the involved components. In order to cope with the big heterogeneousness of those physical objects and their intrinsic information, the authors propose a notification-based approach derived from the so-called Notification Oriented Paradigm (NOP), a new rule and event driven approach for software and hardware specification and execution. However, the heterogeneity of those information and their interpretation relatively to an evolving context impose the definition of model-driven patterns based on some formal knowledge modelled by a set of skill-based ontologies. Thus, the paper focuses on the open issue related to the formalisation of such ontology-based patterns for their verification, ensuring the coherence of the whole set of data in each contextual engineering domain involved in the EIS

Self-Aware Smart Products: Systematic Literature Review, Conceptual Design and Prototype Implementation

Abstract The fourth industrial revolution makes more effective use of data generated during manufacturing processes and creates a more interconnected manufacturing network. The data stored inside a product can be updated, analyzed and protected throughout its life cycle. It is currently becoming a reality to speed up the modern mass-customization. The aim of this paper is firstly to explore the state of art about smart products through a systematic literature review. Second, to design a self-aware smart product in a smart factory production environment based on the review findings. Finally, to turn the conceptual design into a prototype implementation

Semantic Annotation Model Definition for Systems Interoperability

ISBN 978-3-642-25125-2International audienceSemantic annotation is one of the useful solutions to enrich target's (systems, models, meta-models, etc.) information. There are some papers which use semantic enrichment for different purposes (integration, composition, sharing and reuse, etc.) in several domains, but none of them provides a complete process of how to use semantic annotations. This paper identifies three main components of semantic annotation, proposes for it a formal definition and presents a survey of current semantic annotation methods. At the end, we present a simple case study to explain how our semantic annotation proposition can be applied.The survey presented in this paper will be the basis of our future research on models, semantics and architecture for enterprises systems interoperability during the product lifecycle

Why, Where and How to use Semantic Annotation for Systems Interoperability

ISSN 2247-6040International audienceSemantic annotation is one of the useful solutions to enrich target's (systems, models, meta-models, etc.) information. There are some papers which use semantic enrichment for different purposes (integration, composition, sharing and reuse, etc.) in several domains, but none of them provides a complete process of how to use semantic annotations. This paper identifies three main components of semantic annotation, gives a formal definition of semantic annotation method and presents a survey of current semantic annotation methods which include: languages and tools that can be used to develop ontology, the design of semantic annotation structure models and the corresponding applications. The survey presented in this paper will be the basis of our future research on models, semantics and architecture for systems interoperability

Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation

This paper presents a comprehensive evaluation of the Optical Character Recognition (OCR) capabilities of the recently released GPT-4V(ision), a Large Multimodal Model (LMM). We assess the model's performance across a range of OCR tasks, including scene text recognition, handwritten text recognition, handwritten mathematical expression recognition, table structure recognition, and information extraction from visually-rich document. The evaluation reveals that GPT-4V performs well in recognizing and understanding Latin contents, but struggles with multilingual scenarios and complex tasks. Specifically, it showed limitations when dealing with non-Latin languages and complex tasks such as handwriting mathematical expression recognition, table structure recognition, and end-to-end semantic entity recognition and pair extraction from document image. Based on these observations, we affirm the necessity and continued research value of specialized OCR models. In general, despite its versatility in handling diverse OCR tasks, GPT-4V does not outperform existing state-of-the-art OCR models. How to fully utilize pre-trained general-purpose LMMs such as GPT-4V for OCR downstream tasks remains an open problem. The study offers a critical reference for future research in OCR with LMMs. Evaluation pipeline and results are available at https://github.com/SCUT-DLVCLab/GPT-4V_OCR

A semantic annotation framework to assist the knowledge interoperability along a product life cycle

International audienceThe interoperability among a variety of systems, in or across manufacturing enterprises, has been widely accepted as one of the important factors that affects the efficiency of production. The aim of this study is to deal with the semantic interoperability issues in a product lifecycle management environment. Through the investigation of related works, the need for the formalization of semantic annotation was discovered. This paper addresses this drawback and introduces a framework that uses formalized semantic annotations to assist the knowledge interoperability along a product life cycle

Semantic enrichment of models to assist knowledge management in a PLM environment

International audienceProduct Lifecycle Management (PLM) has been considered as an essential con-cept for improving the product competitive ability in manufacturing enterprises. The PLM solution aims at providing a shared platform for facilitating the man-agement of the knowledge related to any product development process in or across enterprises. However, facing with different standards, enterprise systems and stakeholders, enterprises still need to deal with interoperability issues be-tween those collaborative information systems, encompassing their capability to find the right information during the whole Product Life Cycle (PLC). The objec-tive of this paper is to cope with the major issue of semantic interoperability, by proposing a formalization of semantic annotations and a prototype for facilitating a coherent, complete and contextualized interoperability of knowledge between all enterprise systems and related stakeholders. An example of the instantiation of our method within a real application scenario in manufacturing domain is present-ed to demonstrate its applicability and use, both at the engineering and the exploi-tation phases

Insolation driven biomagnetic response to the Holocene Warm Period in semi-arid East Asia

The Holocene Warm Period (HWP) provides valuable insights into the climate system and biotic responses to environmental variability and thus serves as an excellent analogue for future global climate changes. Here we document, for the first time, that warm and wet HWP conditions were highly favourable for magnetofossil proliferation in the semi-arid Asian interior. The pronounced increase of magnetofossil concentrations at ~9.8 ka and decrease at ~5.9 ka in Dali Lake coincided respectively with the onset and termination of the HWP, and are respectively linked to increased nutrient supply due to postglacial warming and poor nutrition due to drying at ~6 ka in the Asian interior. The two-stage transition at ~7.7 ka correlates well with increased organic carbon in middle HWP and suggests that improved climate conditions, leading to high quality nutrient influx, fostered magnetofossil proliferation. Our findings represent an excellent lake record in which magnetofossil abundance is, through nutrient availability, controlled by insolation driven climate changes.This research was supported by the NSFC grant 41330104 and the 973 program grant 2012CB821900. J.X. was supported by the 973 program grant 2010CB833400 and the NSFC grant 41130101. J.L. received support from the NSFC grant 41374004. C.D. acknowledges further support from the NSFC grant 40925012 and the CAS Bairen Program

Semantic annotations for systèms interoperability in a PLM environment

Dans l'industrie l'approche de gestion du cycle de vie du produit (PLM) a été considérée comme une solution essentielle pour améliorer la compétitivité des produits. Elle vise à fournir une plate-forme commune qui rassemble les différents systèmes de l'entreprise à chaque étape du cycle de vie du produit dans ou à travers les entreprises. Bien que les principaux éditeurs de logiciels fassent des efforts pour créer des outils offrant un ensemble complet et intégré de systèmes, la plupart d' entre eux n'intègrent pas l'ensemble des systèmes. Enfin, ils ne fournissent pas une intégration cohérente de l'ensemble du système d'information. Il en résulte une sorte de « tour de Babel », où chaque application est considérée comme une île au milieu de l'océan de l'information, gérée par de nombreuses parties prenantes dans une entreprise, ou même dans un réseau d'entreprises. L'hétérogénéité des parties prenantes augmente le problème d'interopérabilité. L'objectif de cette thèse est de traiter la question de l'interopérabilité sémantique, en proposant une méthode d'annotation sémantique formelle pour favoriser la compréhension mutuelle de la sémantique de l'information partagée et échangée dans un environnement PLMIn manufacturing enterprises the Product Lifecycle Management (PLM) approach has been considered as an essential solution for improving the product competitive ability. It aims at providing a shared platform that brings together different enterprise systems at each stage of a product life cycle in or across enterprises. Although the main software companies are making efforts to create tools for offering a complete and integrated set of systems, most of them have not implemented all of the systems. Finally, they do not provide a coherent integration of the entire information system. This results in a kind of "tower of Babel", where each application is considered as an island in the middle of the ocean of information, managed by many stakeholders in an enterprise, or even in a network of enterprises. The different peculiarities of those stakeholders are then over increasing the issue of interoperability. The objective of this thesis is to deal with the issue of semantic interoperability, by proposing a formal semantic annotation method to support the mutual understanding of the semantics inside the shared and exchanged information in a PLM environmen

Annotations sémantiques pour l'intéropérabilité des systèmes dans un environnement PLM

In manufacturing enterprises the Product Lifecycle Management (PLM) approach has been considered as an essential solution for improving the product competitive ability. It aims at providing a shared platform that brings together different enterprise systems at each stage of a product life cycle in or across enterprises. Although the main software companies are making efforts to create tools for offering a complete and integrated set of systems, most of them have not implemented all of the systems. Finally, they do not provide a coherent integration of the entire information system. This results in a kind of "tower of Babel", where each application is considered as an island in the middle of the ocean of information, managed by many stakeholders in an enterprise, or even in a network of enterprises. The different peculiarities of those stakeholders are then over increasing the issue of interoperability. The objective of this thesis is to deal with the issue of semantic interoperability, by proposing a formal semantic annotation method to support the mutual understanding of the semantics inside the shared and exchanged information in a PLM environmentDans l'industrie l'approche de gestion du cycle de vie du produit (PLM) a été considérée comme une solution essentielle pour améliorer la compétitivité des produits. Elle vise à fournir une plate-forme commune qui rassemble les différents systèmes de l'entreprise à chaque étape du cycle de vie du produit dans ou à travers les entreprises. Bien que les principaux éditeurs de logiciels fassent des efforts pour créer des outils offrant un ensemble complet et intégré de systèmes, la plupart d' entre eux n'intègrent pas l'ensemble des systèmes. Enfin, ils ne fournissent pas une intégration cohérente de l'ensemble du système d'information. Il en résulte une sorte de « tour de Babel », où chaque application est considérée comme une île au milieu de l'océan de l'information, gérée par de nombreuses parties prenantes dans une entreprise, ou même dans un réseau d'entreprises. L'hétérogénéité des parties prenantes augmente le problème d'interopérabilité. L'objectif de cette thèse est de traiter la question de l'interopérabilité sémantique, en proposant une méthode d'annotation sémantique formelle pour favoriser la compréhension mutuelle de la sémantique de l'information partagée et échangée dans un environnement PL