Christophe Cruz

University of Burgundy | UB · IUT Dijon-Auxerre

4D printing refers to a breakthrough technology combining additive manufacturing (AM) and smart materials (SMs) under the effect of an energy stimulation. From the numerous experiments proposed in the literature, which highlight the broad spectrum of shape- and/or property-changing capacities, an emerging research interest is to tackle 4D printing...

Taxonomies are crucial for executing Business Intelligence (BI) applications by preventing users from being overwhelmed with information. The business applications require knowledge of the key concepts and their organization to perform the classification of news articles. To ensure and maintain reliable information classification quality, it is cru...

Current research efforts related to 4D printing (4DP) has reached an unprecedented level in smart materials (SM) driven era. It is mainly about manufacturing parts/products combining additive manufacturing (AM) techniques and reactive matters. The latter association leads to transformable products presenting abilities of shape morphing, colour chan...

The present work aims to develop a text summarisation system for financial texts with a focus on the fluidity of the target language. Linguistic analysis shows that the process of writing summaries should take into account not only terminological and collocational extraction, but also a range of linguistic material referred to here as the “support...

The present work aims to develop a text summarisation system for financial texts with a focus on the fluidity of the target language. Linguistic analysis shows that the process of writing summaries should take into account not only terminological and collocational extraction, but also a range of linguistic material referred to here as the "support...

Cet article présente des travaux visant à développer un système de rédaction automatique de résu-més de textes économiques et financiers en attachant une attention particulière à l’idiomaticité et à la fluidité de la langue d’arrivée. Pour ce faire, l’étude part d’un corpus de rapports périodiques de la Banque de France relevant des discours de con...

This paper aims at presenting a method developed for summariza-tion of French financial texts. Our work highlights the relevance of fine-tuning a pre-trained CamemBERT model using its attention mechanisms on our custom dataset to extend its knowledge on the domain-specific vocabulary, and the impact of textual data augmentation, improving [6%-11%]...

Disaster management requires collaborative preparedness among the various stakeholders. Collaborative exercises aim to train stakeholders to apply the plans prepared and to identify potential problems and areas for improvement. As these exercises are costly, computer simulation is an interesting tool to optimize preparation through a wider variety...

This paper presents a work aiming at developing a semi-automatic drafting system for summaries of economic and financial texts, paying particular attention to the idiomaticity and fluency of the target language. To do so, the study starts from the analysis of a corpus of periodical reports of the Banque de France. Linguistic work shows that the wri...

A review of the existing literature suggests that intrusions on sites are often overlooked as current construction safety assessment methods are primarily focused on visible consequences such as injuries and deaths. Moreover, traditional Behavior-Based Safety (BBS) methods for improving worker attitude towards adopting safety practices on work site...

Disaster management requires both individual and collaborative preparedness among the various stakeholders. Collaborative exercises aim to train stakeholders to apply the plans prepared and to identify potential problems and areas for improvement. As these exercises are costly, computer simulation is an interesting tool to evaluate preparation thro...

Thousands of fatalities are reported from the construction industry every year and a high percentage of them are due to the unsafe worker movements which resulted in falling from heights, transportation accidents, exposure to harmful environments, and striking against or being struck by the moving equipment. To reduce such fatalities, a system is p...

Existing studies reveal that unsafe worker movement behaviors are one of the major reasons of construction site fatalities resulting in serious collisions with site objects and machinery. For understanding worker movements in dynamic construction environments which involve moving and changing objects, a system named ‘WoTAS’ (Worker Trajectory Analy...

The paper presents spatio-temporal dataset of building occupants captured using 200 Bluetooth Low Energy (BLE) beacons installed on different locations in two buildings. It contains 8426 data points of 11 building occupants collected with a sampling rate of 5 seconds during different times in a 12 days' interval. Each spatio-temporal data point com...

Occupants’ movements and presence are fundamental and the pre-requisites for any type of occupant behaviors’ understanding which tells whether a building location is occupied, the number of occupants or an occupant with a specific profile in a certain location. Numerous studies have been conducted over the past few decades to model occupant behavio...

Disaster management is a complex collaborative process involving several stakeholders from different domains and requiring preparation for designing action plans. Computer simulation of such collaborative process allows globally assessing the efficiency of such preparation. Studies have shown that multi-agent systems (MAS) are well suited for ident...

Ontology Web Language (OWL) is considered as a data representation format exploited by the Extensible Markup Language (XML) format. OWL extends XML by providing properties to further express the semantics of data. To this effect, transforming XML data into OWL proves important and constitutes an added value for indexing XML documents and re-enginee...

Numerous studies have been conducted over the past few decades on human behavior modeling and simulation by incorporating the dynamic behaviors of people for different Facility Management (FM) applications. For example; the Drivers, Needs, Actions and Systems (DNAS) framework which provides a standardized way to conceptually represent energy-relate...

In the context of disaster management, geospatial information plays a crucial role in the decision-making process to protect and save the population. Gathering a maximum of information from different sources to oversee the current situation is a complex task due to the diversity of data formats and structures. Although several approaches have been...

This vision paper proposes an approach to use the most advanced word embeddings techniques to bridge the gap between the discourses of experts and non-experts and more specifically the terminologies used by the two communities. Word embeddings makes it possible to find equivalent terms between experts and non-experts, by approach the similarity bet...

La lisibilité et la compréhension du discours expert par un consommateur non-expert sont sources de difficultés impactant l’acte d’achat [1]. Cette réalité est particulièrement vraie dans le domaine du vin où les propriétés organoleptiques et sensorielles des vins décrits par les institutions et experts portent une charge sémantique complexe diffic...

Purpose The purpose of this paper is to improve safety of construction workers by understanding their behaviors on construction sites using spatio-temporal (ST) trajectories. Design/methodology/approach A review of construction safety management literature and international occupational health and safety statistics shows that the major reasons o...

Existing literature reveals that major reasons of fatalities on construction sites are linked to mobility related issues such as unsafe human behaviors, difficult site conditions and workers striking against or being struck by the moving objects. In an attempt to reduce such fatalities, a system is proposed to enrich spatio-temporal trajectories of...

Working on a construction site is always risky because of its dynamic nature. Despite numerous efforts to reduce fatalities on construction sites, fatal accidents continue to occur. The advancements in location acquisition and mobile communication techniques offer various means to monitor construction sites using mobility data. Information derived...

This position paper highlights current problems linked to the aspects of the multi-agency collaboration during disaster response. The coordination and cooperation depend on the information sharing and use which must face up to interoperability, access rights, and quality problems. The research project aims at providing an assessment of information...

In this article we want to present an integrational approach of geospatial data into the semantic web in the context of the semantic GIS project. We first highlight the purpose and advantages of the integration and interpretation of data into the semantic web and further on describe the process of data acquisition, data interpretation, quality assu...

The disaster response still faces problems of collaboration due to lack of policies concerning the information exchange during the response. Moreover, plans are prepared to respond to a disaster, but drills to apply them are limited and do not allow to determine their efficiency and conflicts with other organizations. This paper presents a framewor...

Information from the web is a key resource exploited in the domain of competitive intelligence. These sources represent important volumes of information to process everyday. As the amount of information available grows rapidly, this process becomes overwhelming for experts. To leverage this challenge, this paper presents a novel approach to process...

For several years, many researchers tried to semantically integrate geospatial datasets into the semantic web. Although, there are many general means of integrating interconnected relational datasets (e.g. R2RML), importing schema-less relational geospatial data remains a major challenge in the semantic web community. In our project SemGIS we face...

The paper presents work on implementation of semantic technologies within a geospatial environment to provide a common base for further semantic interpretation. The work adds on the current works in similar areas where priorities are more on spatial data integration. We assert that having a common unified semantic view on heterogeneous datasets pro...

One of the biggest challenges in Big Data is to exploit value from large volumes of variable and changing data. For this, one must focus on analyzing the data in these Big Data sources and classify the data items according to a domain model (e.g. an ontology). To automatically classify unstructured text documents according to an ontology, a hierarc...

Determining valuable data among large volumes of data is one of the main challenges in Big Data. We aim to extract knowledge from these sources using a Hierarchical Multi-Label Classification process called Semantic HMC. This process automatically learns a label hierarchy and classifies items from very large data sources. Five steps compose the Sem...

With the climate change, disasters occur more frequently and the need for efficient disaster management systems becomes highly recommended to save lives. This paper deals with a study of existing systems, with the intention of determining the main recent improvement in the domain. The heterogeneous data integration process is a major central point....

Concepts such as near, far, south of, etc., are by its own nature vague. However, they are quite common in human language. In the case of historical records, these concepts are often the only source of information regarding the position of ancient places whose exact location has been lost. In our research, we use digitized written records from Uppe...

There is a need for decision-makers to be provided with both an overview of existing knowledge, and information which is as complete and up-to-date as possible on changes in certain features of the biosphere. Another objective is to bring together all the many attempts which have been made over the years at various levels (international, Community,...

Ontologies nowadays have become widely used for knowledge representation, and are considered as foundation for Semantic Web. However with their wide spread usage, a question of their evaluation increased even more. This paper addresses the issue of finding an efficient ontology evaluation method by presenting the existing ontology evaluation techni...

One of the biggest challenges in Big Data is the exploitation of Value from large volumes of data that are constantly changing. To exploit value, one must focus on extracting knowledge from these Big Data sources. To extract knowledge and value from unstructured text we propose using a Hierarchical Multi-Label Classification process called Semantic...

The goal of giving information a well-defined meaning is currently shared by different research communities. Once information has a well-defined meaning, it can be searched and retrieved more effectively. Therefore, this paper is a survey about the methods that compare different textual information sources in order to determine whether they address...

The aims of XML data conversion to ontologies are the indexing, integration and enrichment of existing ontologies with knowledge acquired from these sources. The contribution of this paper consists in providing a classification of the approaches used for the conversion of XML documents into OWL ontologies. This classification underlines the usage p...

This work presents a recommender system of economic news articles. Its objectives are threefold: (i) managing the vocabulary of the economic news domain to improve the system based on the seamlessly intervention of the documentalist (ii) automatically multi-classify the economic new articles and users profiles based on the domain vocabulary, and (i...

Analyzing Big Data can help corporations to im-prove their efficiency. In this work we present a new vision to derive Value from Big Data using a Semantic Hierarchical Multi-label Classification called Semantic HMC based in a non-supervised Ontology learning process. We also proposea Semantic HMC process, using scalable Machine-Learning techniques...

Facility management (FM) or technical property management is an approach to operate, maintain, improve and adapt buildings and infrastructures of organizations. A FM project requires the cooperation of many actors from different domains so it has to be automated in a constrained collaborative environment. This paper proposes a new approach for onto...

This work is part of a global project to develop a recommender system of economic news articles. Its objectives are threefold: (i) automatically multi-classify the economic new articles, (ii) recommend the articles by comparing the profiles of the users and the multi-classification of the articles, and (iii) managing the vocabulary of the economic...

This work is part of a global project to develop a recommender system of economic news articles. Its objectives are threefold: (i) automatically multi-classify the economic new articles, (ii) recommend the articles by comparing the profiles of the users and the multi-classification of the articles, and (iii) man- aging the vocabulary of the economi...

This paper is interested in a recommender system of economic news articles. More precisely, it focuses on automatic profile refinement of customers which is an important task over time by taken into account logs of the user concerning especially his/her actions, reading time, and domain specific knowledge. In our approach, ontologies are used to des...

Complex spatial analysis requires the combination of heterogeneous datasets. However the identification of a dataset of interest is not a trivial task. Users need to review metadata records in order to select the most suitable datasets. We propose the implementation of a system for metadata management based on semantic web technologies. Our impleme...

This paper focuses on a recommender system of economic news articles. Its objectives are threefold: (i) automatically multi-classify new economic articles, (ii) recommend articles by comparing profiles of users and multi-classification of articles, and (iii) managing the vocabulary of the economic news domain to improve the system based on seamless...

Contractors, commercial and business decision-makers need economical information to drive their decisions. The production and distribution of a press review about French regional economic actors represents a prospecting tool on partners and competitors for the businessman. Our goal is to propose a customized review for each user, thus reducing the...

Contractors, commercial and business decision-makers need economical information to drive their decisions. The production and distribution of a press review about French regional economic actors represents a tool for prospecting partners and competitors for the businessman. Our goal is to propose a customized review for each user, thus reducing the...

Currently, vast amounts of geospatial information are offered through OGC’s services. However this information has limited formal semantics. The most common method to search for a dataset consists in matching keywords to metadata elements. By adding semantics to available descriptions we could use modern inference and reasoning mechanisms currently...

This work introduces an ontology-based spatio-temporal data model to represent entities evolving in space and time. A dynamic phenomenon generates a complex relationship network between the entities involved in the process. At the abstract level, the relationships can be identity or topological filiations. The existence of an identity filiation dep...

Ontology development starts with a rigorous ontological analysis that provides a conceptualization of the domain to model agreed by the community. An ontology, specified in a formal language, approximates the intended models of this conceptualization. It needs then to be revised and refined until an ontological commitment is found. Also ulterior up...

Many theories and solutions have been proposed for the improvement of the learning efficiency of secondary language(L2) learning. However neither an unified view on the functionality of semantics in aiding learning nor an objective measure of the efficiency improvement at theoretical level has been presented in existing literature. This situation h...

This paper presents a complete structural ontology model suited for change modelling on \(\mathcal{ SHOIN(D)}\) ontologies. The application of this model is illustrated along the paper through the description of an ontology example inspired by the UOBM ontology benchmark and its evolution.

Distinguishing objective(OBJ) semantic from subjective(SUBJ) semantic is essential to information processing of either explicit design formalization or implicit natural language(NL) communication of projects' implementation. We summarized our past experience of solutions for semantic knowledge management projects. An adopted hypothesis is that amon...

Due to the increasing availability of large unstructured point clouds obtained from laser scanning and/or photogrammetric data, there is a growing demand for automatic processing methods. Given the complexity of the underlying problems, several new methods try to use semantic knowledge in particular for supporting object detection and classificatio...

There is a growing need for the study of spatial–temporal objects and their relationships. A common approach for this task is the use of relational databases, which unfortunately do not allow inference. In this research, we introduce a new approach that uses the concept of a “continuum” together with ontologies and semantic Web technologies. The co...