Laurence Capus

• Université Laval

SPARQL query rewriting is a fundamental mechanism for uniformly querying heterogeneous ontologies in the Linked Data Web. However, the complexity of ontology alignments, particularly rich correspondences (c : c), makes this process challenging. Existing approaches primarily focus on simple (s : s) and partially complex ( s : c) alignments, thereby...

SPARQL query rewriting is a fundamental mechanism for uniformly querying heterogeneous ontologies in the Linked Data Web. However, the complexity of ontology alignments, particularly rich correspondences (c : c), makes this process challenging. Existing approaches primarily focus on simple (s : s) and partially complex (s : c) alignments, thereby o...

A well-designed ontology must be capable of addressing all the needs it is intended to satisfy. This complex task involves gathering all the potential questions from future users that the ontology should answer in order to respond precisely to these requests. However, variations in the questions asked by users for the same need complicate the inter...

The Semantic Web relies on the use of ontologies to ensure data sharing, reuse, and interoperability, thereby representing knowledge comprehensible to computers .However, querying ontologies, often performed using the SPARQL language, becomes a challenge, especially for non-expert users. Barriers include linguistic challenges due to syntactic compl...

Les sciences de l'éducation connaissent une effervescence attribuable en grande partie à l'innovation dans les approches pédagogiques et à l'évolution des technologies numériques. En outre, la ludification des applications numériques et l'intelligence artificielle (IA) laissent entrevoir des possibilités prometteuses sur le plan de l'enseignement e...

This volume contains the proceedings of the SUMO Conference 2017 which was held from 8th to 10th May 2017 with a focus on autonomous mobility. In the current transition process traffic simulation is the only tool which can give us insights in the mechanisms of traffic in largely automatized traffic scenarios. SUMO as an open source tool provides a...

E-learning systems represent an interesting alternative to procure students appropriate customized instruction. Among these systems, adaptive educational hypermedia systems offer a personalized learning that is considered as the activation key of learners motivation, allowing them to learn more efficiently. The numerous existing systems generally i...

Obtaining extractive summaries by using functions induced from a training set continue to be a great challenge in the domain of the automatic text summary. This paper presents the VENCE method based on this approach and improves the quality of the abduced functions, using semantic relations of the words (attributes) of the training set that are fet...

Dear reader, You are holding in your hands a volume of the series „Reports of the DLR-Institute of Transportation Systems“. We are publishing in this series fascinating, scientific topics from the Institute of Trans- portation Systems of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e.V. – DLR) and from his environment. We...

This paper presents a mobile learning application for a learning course at higher education level. Based on the RSS feed technology, the presented mobile application establishes an in-time communication channel between the instructor and his/her students to keep them up-to-date with all course important dates, instructions and information in additi...

One major challenge in the field of machine learning, especially in classification problems, is to optimize the attribute space in order to obtain a classification function, which will be used to discriminate future items. Several approaches to optimize the attribute space can be used: some of them select the most relevant attributes and the other...

Mobile learning is a special case of distance learning, which in turn is considered as a technological evolution of the conventional learning. This paper proposes a doctoral research project aims to construct a comprehensive model of mobile learning. Research questions and objectives are discussed. CommonKADS methodology accompanied with its model...

The vast availability of information sources has created a need for research on automatic summarization. Current methods perform either by extraction or abstraction. The extraction methods are interesting, because they are robust and independent of the language used. An extractive summary is obtained by selecting sentences of the original source ba...

Nowadays learning environments put more and more accent on the intelligence of the system. The intelligence of a learning environment is largely attributed to its ability of adapting to a specific learner during the learning process. The adaptation depends on individual learner's knowledge of the subject to be learned, and other relevant characteri...

Cet article présente le projet d’extension du système d’apprentissage en ligne Sphinx à des capacités multimédias. Sphinx est actuellement utilisé par les étudiants de l’université Laval au Québec dans le cadre d’un cours d’intelligence artificielle. Ce système permet aux étudiants de réviser pendant le cursus universitaire et avant les examens. L’...

For the past five years, our students have been passing less and less time preparing for lectures and exams. To encourage them to do more exercises, a pedagogical activity was offered outside the classroom. With the goal of making students more active during the problem-solving process, an innovative online environment, Sphinx, was developed. Sphin...

Sphinx is a computer environment to help human learning by means of examples in an introductory course of artificial intelligence. This interactive Web environment offers learners specific tools to help them explain the solved problems, alone or in collaboration with peers. Using Sphinx, learners can obtain from their peers or their teachers feedba...

The automatic generation of summaries using cases (GARUCAS) environment was designed as an intelligent system to help one learn to summarize narrative texts by means of examples within a case-based reasoning (CBR) approach. Each example, modeled as a case, contains a conceptual representation of the initial textual state, the different steps of the...

Road Safety Analysis (RSA) can be seen as a three-level process: (i) the identi-fication of hazardous sites, (ii) the site analysis and (iii) the detailed analysis of accident. The objective of this chapter is to present the Knowledge Engineering (KE) contributions for the second (ii) and the third (iii) levels of the RSA process, based on two appl...

Thèse (Ph. D.)--Université Laval, 2002. Bibliogr.: f. 162-171.

The use of examples may be a good strategy to learn or to improve one’s abilities in a particular field; but the number of educational systems using examples explicitly remains small. The goal of our GARUCAS (GenerAtor of summaRies Using CASes) project is to build an educational system to help users learn text summarization by means of examples. It...

Summarization is an important skill that many of us need. Yet, this skill must be learned. This is why it is taught as a part of composition courses in language programs. The final goal of our research project is to design a system to help students to learn to summarize French texts by using a method called Case-Based Reasoning (CBR). Such a system...

Case-Based Reasoning (CBR) uses similar past situations to solve current problems. A major difficulty of CBR systems is getting them to choose automatically the references that will qualify each situation (case). Thus, the indexing process is primordial. The objective of this article is to clarify what is needed to choose an appropriate indexing st...

Case-Based Reasoning (CBR) uses similar past situations to solve current problems. A major difficulty of CBR systems is getting them to choose automatically the references that will qualify each situation (case). Thus, the indexing process is primordial. The objective of this article is to clarify what is needed to choose an appropriate indexing st...

In road safety analysis, the deduction of general rules is often difficult or even impossible in some situations. As an alternative, engineers often refer to their past experiences for solving new problems. This practice allows them to improve efficiently their expertise. The objective of this communication is to propose a model of a system exploit...

Nous présentons le résultat de notre réflexion sur l'apprentissage effectué dans le cadre du cours d'introduction à l'intelligence artificielle offert au département d'informatique de l'Université Laval. Cette réflexion a permis de mettre en évidence de nouveaux besoins pédagogiques pour aider les étudiants à mieux apprendre. Nous présentons égalem...