Myriam Lamolle

Université de Vincennes - Paris 8 | UP8 · IUT de Montreuil

The past decade has seen the growing up of multimedia technologies in the context of e-learning. Smarter platforms are needed to support lifelong learning anywhere, anytime. This paper presents a new multimedia resource ontology (MMRO). It first provides a background about knowledge bases, description logics and reasoning, and an overview of multim...

soumission à Episciences In the world of e-learning, learning systems have sought to adapt the user's profile and the content offered to them. However, from the point of view of collaboration between learners based on adaptation to the learner profile, this adaptation has not been sufficiently explored as an important aspect of the e-learning proce...

The rapid increase in the number of Earth Observation (EO) systems generates a massive amount of heterogeneous data. It has raised big issues in collecting, preprocessing, storing, and the visualization these data. However, traditional techniques are facing serious challenges when dealing with big EO data dimensions (i.e., Volume, Veracity, Variety...

Despite investigative efforts seen in the literature, the maximum power pointtracking remains again a crucial problem in photovoltaic system (PV) con-nected to the power grid. In this paper, a new maximum power point trackingtechnique which is our contribution to the resolution of this problem istreated. We proposed a hybrid controller of maximum p...

The increasing amount of data generated by earth observation missions like Copernicus, NASA Earth Data, and climate stations is overwhelming. Every day, terabytes of data are collected from these resources for different environment applications. Thus, this massive amount of data should be effectively managed and processed to support decision-makers...

Big data analysis assumes a significant role in Earth observation using remote sensing images, since the explosion of data images from multiple sensors is used in several fields. The traditional data analysis techniques have different limitations on storing and processing massive volumes of data. Besides, big remote sensing data analytics demand so...

Big Data is an emerging field since massive storage and computing capabilities have been made available by sophisticated infrastructures. Drought studies are likely to benefit from Big Data techniques supporting the processing of a large number of heterogeneous data. In fact, an early detection, accurate drought evalu-ation, and efficient predictio...

Over recent years, the frequency and intensity of droughts have increased and there has been a large drying trend over many parts of the world. Consequently, drought monitoring using big data analytic has gained an explosive interest. Droughts stand among the most damaging natural disasters. It threatens agricultural production, ecological environm...

Link keys are recently introduced to formalize data interlinking between data sources. They are considered as a new kind of correspondences included in ontology alignments. We propose a procedure for reasoning in a decentralized manner on a network of ontologies with alignments containing link keys. In this paper, the ontologies involved in such a...

The term ecosystem has been used to describe complex interaction between living organisms and the physical world. The principles underlying ecosystems can also apply to human interactions in the digital world. As information and communication technologies increasingly contribute to teaching and learning in higher education, digital ecosystem princi...

Dans cet article nous présentons une nouvelle architecture de génération de parcours de formation et de gestion de la progression d’apprenants dans un contexte multiutilisateurs pour une collaboration en temps réel entre différents apprenants. La génération implique deux étapes : (i) construire un graphe de grains pédagogiques pertinents selon les...

The recent proliferation of social networks as a main source of information and interaction has led to a huge expansion of automatic e-recruitment systems and by consequence the multiplication of web channels (job boards) that are dedicated to job offers disseminating. In a strategic and economic context where cost control is fundamental, it has be...

A growing number of highly optimized reasoning algorithms have been developed to allow inference tasks on expressive ontology languages such as OWL(DL). Nevertheless, there is broad agreement that a reasoner could be optimized for some, but not all the ontologies. This particular fact makes it hard to select the best performing reasoner to handle a...

Our understanding of an application domain evolves over time. If we consider an ontology as a set of semantic constraints which describes our understanding of an application domain, ontologies must be revised. Indeed, adding a new semantic constraint to an ontology may make it inconsistent. To restore consistency with minimal loss of semantics, we...

In this paper, we present a new architecture of learning path generation and managing the learner’s progression in multi-users context. By “multi-users context”, we hint at real time collaboration between different learners in a hyper-dynamic world; moreover, the architecture allows us to take into account the preceding learners’ appreciations abou...

Our understanding of an application domain evolves over time. If we consider an ontology as a set of semantic constraints which describes our understanding of an application domain, it is needed to revise ontologies. However, adding a new semantic constraint to an ontology may make it inconsistent. To restore consistency with minimal loss of semant...

Over the last decade, several ontology reasoners have been proposed to overcome the computational complexity of inference tasks on expressive ontology languages. Nevertheless, it is well-accepted that there is no outstanding reasoner that can outperform in all input ontologies. Thus, an algorithm selection problem have emerged in this field of stud...

Recently, dedicated web portals and social networks for the automatization of the recruitment processes, have emerged with the expansion of the internet, leading to a wide use of optimized algorithms. To that aim, a lot of job boards websites have been created, for disseminating and sharing at the best the job offers. Choosing the relevant job boar...

Over the last decade, several ontology reasoners have been proposed to overcome the computational complexity of inference tasks on expressive ontology languages such as OWL 2 DL. Nevertheless, it is well-accepted that there is no outstanding reasoner that can outperform in all input ontologies. Thus, deciding the most suitable reasoner for an ontol...

Semantics-based applications encapsulate commonly a set of ontologies which represent knowledge formalized from different data sources. Some of these ontologies may change over time since, not only data would be updated but also our understanding on application domain would evolve. To ensure that ontologies remain usable, it is needed to revise ont...

Reasoning with ontologies is one of the core tasks of research in Description Logics. A variety of reasoners with highly optimized algorithms have been developed to allow inference tasks on expressive ontology languages such as OWL (DL). However, unexpected behaviours of reasoner engines is often observed in practice. Both reasoner time efficiency...

Reasoning with ontologies is one of the core fields of research in Description Logics. A variety of efficient reasoner with highly optimized algorithms have been developed to allow inference tasks on expressive ontology languages such as OWL(DL). However, reasoner reported computing times have exceeded and sometimes fall behind the expected theoret...

Reasoning with ontologies is one of the core fields of research in Description Logics. A variety of efficient reasoner with highly optimized algorithms have been developed to allow inference tasks on expressive ontology languages such as OWL(DL). However, reasoner reported computing times have exceeded and sometimes fall behind the expected theoret...

Reasoning with ontologies is one of the core fields of research in Description Logics. A variety of efficient reasoner with highly optimized algorithms have been developed to allow inference tasks on expressive ontology languages such as OWL(DL). However, reasoner reported computing times have exceeded and sometimes fall behind the expected theoret...

A poster summarizing our research work about predicting the future performances of reasoners given an input ontology. Our main claim is that the output quality of a reasoner is closely depending on the quality of the input, i.e. the ontology. We also claim that machine learning (ML) techniques and more specifically the supervised learning can help...

In the last decades, many measures and metrics have been proposed with the goal of automatically providing quantitative rather than qualitative indications over researchers' academic productions. However, when evaluating a researcher, most of the commonly-applied measures do not consider one of the key aspect of every research work: the collaborati...

Many current spoken dialogue systems for search are domainspecific and do not take into account the preferences of the user and his opinion about the proposed items. In order to provide a more personalized answer, tailored to the user needs, in this paper we propose a spoken dialogue system where user interests are expressed as scores in modular on...

The main purpose of our study is to design a new multi-media learning platform to help staffs to acquire new skills for their professional progression. In particular, this new platform is aimed at learners who do not appreciate conventional training methods, and who prefer new kinds of media, personalized to their own background. From a learner's p...

The Semantic Web makes an extensive use of the OWL DL ontology language, underlied by the \(\mathcal{SHOIQ}\) description logic, to formalize its resources. In this paper, we propose a decision procedure for this logic extended with the transitive closure of roles in concept axioms, a feature needed in several application domains. The most challeng...

DRAOn is a distributed reasoner which offers inference services for a network of OWL ontologies correlated by alignments. Reasoning with such networks of ontologies depends on the semantics we define for alignments with respect to ontologies. DRAOn supports two semantics for a network of ontologies: the standard Description Logics (DL) semantics fo...

The World Wide Web infrastructure together with its more than 2 billion users enables to store information at a rate that has never been achieved before. This is mainly due to the will of storing almost all end-user interactions performed on some web applications. In order to reply to scalability and availability constraints, many web companies inv...

The validation of models is a crucial step in distributed heterogeneous systems. In this paper, an incremental validation method is proposed in the scope of a Model Driven Engineering (MDE) approach, which is used to develop a Master Data Management (MDM) field represented by XML Schema models. The MDE approach presented in this paper is based on t...

The Semantic Web makes an extensive use of the OWL DL ontology language, underlied by the SHOIQ description logic, to formalize its resources. In this paper, we propose a decision procedure for this logic extended with the transitive closure of roles in concept axioms, a feature needed in several application domains. To address the problem of consi...

No SQL stores are emerging as an efficient alternative to relational database management systems in the context of big data. Many actors in this domain consider that to gain a wider adoption, several extensions have to be integrated. Some of them focus on the ways of proposing more schema, supporting adapted declarative query languages and providin...

Résumé. 1 Dans le domaine de l'enseignement, l'apprentissage collaboratif est une stratégie très importante qui nécessite la constitution d'une équipe de travail et différentes formes d'interaction entre les membres de cette équipe, permettant les processus de développement de l'acquisition et de la construction de la connaissance. En intelligence...

In this work, we propose an ExpSpace tableau-based algorithm for deciding consistency of a knowledge base in the description logic SHOIQ. The construction of this algorithm is founded on the standard tableau-based method for SHOIQ and the technique used for designing a NExpTime algorithm for the two-variable fragment of first-order logic with count...

Résumé : Récemment, l'apparition de nouvelles techniques de représentation des données sous forme semi-structurées dédiées au Web repose le problème de l'interopérabilité et donc de l'intégration de différentes sources de données. Notamment, le schema matching est l'un des problèmes majeurs rencontrés lors du processus d'intégration. Il consiste à...

La modularisation des ontologies s'avère la solution la plus promet-teuse pour permettre leur accroissement volumétrique, sans pour autant dégrader l'efficacité des applications existantes. Dans cet article, nous introduisons une nouvelle approche de modularisation d'ontologies. Elle repose sur l'apprentis-sage automatique par classification, lors...

The "Dictionary of Spirituality" is an encyclopedia used by researchers in religious studies and Divinity. Its digital version allows the researcher to make some revisions to existing articles (or entries) or write new entries. The dictionary embodies the domain ontology on which each researcher can create a local ontology that reflects his own vis...

Current knowledge management focuses on knowledge acquisition, storage, re-trieval and maintenance. E-Learning systems technology today is used primarily for training courses about carefully selected topics to be delivered to students reg-istered for those courses. Knowledge management is used to rapidly capture, or-ganize and deliver large amounts...

In many cases when technological systems are to operate on emotions and related states, they need to represent these states. Existing representations are limited to application-specific solutions that fall short of representing the full range of concepts that have been identified as relevant in the scientific literature. The present chapter present...

Due to the large amount of data generated by user interactions on the Web, some companies are currently innovating in the domain of data management by designing their own systems. Many of them are referred to as NoSQL databases, standing for ’Not only SQL’. With their wide adoption will emerge new needs and data integration will certainly be one of...

In this paper, we investigate an extension of the description logic SHIQ\mathcal{SHIQ}–a knowledge representation formalism used for the Semantic Web–with transitive closure of roles occurring not only in concept inclusion axioms but also in role inclusion axioms. It was proved that adding transitive closure of roles to SHIQ\mathcal{SHIQ} without r...

In this paper, we investigate an extension of the description logic SHIQ\mathcal{SHIQ}–a knowledge representation formalism used for the Semantic Web–with transitive closure of roles occurring not only in concept inclusion axioms but also in role inclusion axioms. It was proved that adding transitive closure of roles to SHIQ\mathcal{SHIQ} without r...

This paper presents a new approach for discovering complex alignments that consist of complex correspondences between an atomic concept and a complex concept or between two complex concepts defined in OWL ontologies. This approach takes into account semantic aspects of entities which are imposed by ontology axioms. First, our method transforms OWL...

This paper presents a new approach for discovering complex alignments that consist of complex correspondences between an atomic concept and a complex concept or between two complex concepts defined in OWL ontologies. This approach takes into account semantic aspects of entities which are imposed by ontology axioms. First, our method transforms OWL...

In this paper, we propose an incremental validation method in the scope of a Model Driven Engineering (MDE) approach used to develop XML Schema models. The suggested MDE approach is based on an abstraction layer thanks to UML class diagrams, and on a series of transformations allowing the definition of XML Schema models. Our method of validation ai...