Michel Héon

Michel Héon
Université du Québec à Montréal | UQAM · Department of Computer Science

Doctor of Philosophy

About

50
Publications
17,004
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157
Citations
Introduction
Consulting and Research interest: - Semantic web - Web of data - Ontology modeling - Visual knowledge representation - Applied artificial intelligence - Ontology reasoning - Knowledge elicitation and extraction - Semantic web system and ontology engineering
Additional affiliations
February 2013 - present
Télé-université
Position
  • Professor (Associate)
October 2011 - present
Université du Québec à Montréal
Position
  • PostDoc Position
Description
  • - Conception d'un langage de représentation graphique d'ontologies (G-OWL) - Recherche en maïeutique et conception d'ontologies
March 2010 - September 2011
Télé-université
Position
  • Research Associate
Description
  • - Réaliser de la recherche en représentation semi-formelle et formelles de connaissances - Élaborer la vision les exigences et les spécifications d’un éditeur de modèles en mode collaboratif

Publications

Publications (50)
Presentation
Full-text available
The joint, collaborative and synchronized use of a research data repository and a CRIS system brings clear benefits to an institution by combining the strengths and advantages of both platforms. In this sense, the DSpace-VIVO integration project aims to offer an integrated solution under the Lyrasis provider. During our presentation, the first phas...
Presentation
Full-text available
An essential step in the production of VIVO's institutional instance is the data provisioning with relevant, coherent, up to date and valid data. Complex data transformation processes must be developed and implemented within the institution by several specialists coming from various fields of expertise. In most cases, the data transformation proces...
Presentation
Full-text available
The common way of accessing the data contained in VIVO is the SPARQL endpoint service. Although this service is a W3C recommendation for data exchange on the web, it has some drawbacks when it comes to using this service for processing (adding/modifying/deleting) data in VIVO. The difficulty lies in understanding the structure of the graph used to...
Presentation
Full-text available
In a large organization, corporate data is rarely stored in a single data source. Data is most often stored sparsely in distributed systems that communicate more or less well with each other. In this context, the integration of a new data source such as VIVO is sometimes perceived as a complexification of the infrastructure already in production, m...
Presentation
Full-text available
The internationalization (i18n) of a knowledge-based platform is a transdisciplinary team project requiring skills in computer science, language translation, project management and ontology modeling. Experience leads us to conclude that the i18n process of VIVO is divided into 5 generic steps: 1) compile/deploy and run VIVO; 2) test and research pr...
Presentation
Full-text available
To model an OWL-2 ontology, the World Wide Web Consortium (W3C) recommends the use of the following five concrete syntax: Manchester, functional, RDF/XML, OWL/XML and Turtle. All of these syntax have the characteristic of being textual. It is accepted in cognitive science that the use of notation based on visual syntax is also a form of symbolizati...
Presentation
Full-text available
Exposing interoperable Linked Open Data (LOD) in RDF notation is one of the six main use cases for the semantic web. Semantic web technology is the foundation of VIVO, and as such each VIVO installation can act as a source for LOD. However, the potential of LOD in VIVO remains relatively unexploited. The Université du Québec (UQ) is a network of 10...
Technical Report
Full-text available
This article presents an algorithm combining semantic web technology with a neural network-based machine learning to validate the truth value associated with an RDF statement of the following structure: subject-predicate-object. The algorithm includes: 1) exploiting data semantics to generate new learning data, 2) using web data to enrich the chara...
Data
Background The Unified Medical Language System (UMLS) is a formal ontology of the biomedical and health domain. Its goal is to offer a vocabulary that would facilitate the exchange of information between informatics systems. The semantics and basic facts of the UMLS are contained in the Semantic Network and the Metathesaurus. Goal The objective o...
Poster
Full-text available
Background: The Unified Medical Language System is a formal ontology of the biomedical and health domain. Its goal is to offer a vocabulary that would fa-cilitate the exchange of information between informatics systems. The semantics and basic facts of the UMLS are contained in the Semantic Network of Metathe-saurus. The objective of this research...
Presentation
This tutorial is a three-part contribution using semantic web technologies. The first is to highlight the means to use visual representation of resources, properties, classes, etc. to create an ontology. The second is to underpin a series of pruning methods for extracting sub-domain ontologies from a given large domain ontology without losing prope...
Poster
Full-text available
Ontological syntax standardized by the W3C offer the expressiveness needed in the formulation of complex concepts. However, the codification of an ontology is a process of formalization of thought that sometimes requires extensive knowledge and is often inaccessible in the layperson’s logic. The G-OWL (for Graphical OWL) language has been designed...
Raw Data
Usecase video to illustrate de capability of the software and de GOWL syntaxe
Poster
Full-text available
The Web Ontology Language (OWL-2) aims at offering a family of syntax such as RDF/XML, Manchester Turtle and others, for building ontologies. Ontology engineering is a complex task that requires skills that are rarely accessible to content experts. On the other hand, to model contents pertaining to a specific domain, graphical modeling is a techniq...
Conference Paper
Full-text available
The Web Ontology Language (OWL-2) aims at offering a family of syntax such as RDF/XML, Manchester Turtle and others, for building ontologies. Ontology engineering is a complex task that requires skills that are rarely accessible to content experts. On the other hand, to model contents pertaining to a specific domain, graphical modeling is a techniq...
Conference Paper
Full-text available
The dynamics of the actual global context create a growing need for creation of better knowledge management in organizations. More than ever global markets exercise a bottom-up pressure (market dynamics and daily practices) and a top-down pressure (standardization) on employees who must constantly create, acquire and disseminate new knowledge. Due...
Technical Report
Full-text available
Le projet du web sémantique propose un ensemble de technologies permettant de représenter la signification d'une ressource accessible par le web, et qui a pour cœur, le Ressource Description Framework (RDF). Pour le concepteur Java d'applications sémantiques, l'emploi du RDF impose des particularités qui lui sont propres, qu'il s'agisse : de la dif...
Data
Ce fichier contient les exemples et les démonstrations du Java OWL API contenus dans "web sémantique et modélisation ontologique"
Book
Full-text available
Le web sémantique est un écosystème complexe qui intègre un ensemble de dispositifs logiciels nécessaires à la modélisation, à la diffusion et à l'exploitation des connaissances entreposées dans une ontologie. En tant qu'environnement de développent intégré, l'IDE Eclipse met à disposition du programmeur Java un ensemble de fonctionnalités apte à c...
Data
Full-text available
Conference Paper
Full-text available
Résumé : Le Web Ontology Language (OWL) standardisé par le W3C a pour objectif d'offrir un langage de conception d'ontologies pour le web sémantique. L'ingénierie d'une ontologie est une activité complexe nécessitant une habilité peu accessible à des experts de contenu. En revanche, pour modéliser du contenu métier, la modélisation graphique semi-f...
Article
Full-text available
L'activité de modélisation de connaissances consiste à élaborer une représentation externe structurée de la conceptualisation subjective qu'a un agent cognitif (le modélisateur) d'un domaine de connaissances. Cette conceptualisation est externalisée dans un « modèle » à l'aide d'un langage qui peut être plus ou moins formel. Pour un agent cognitif...
Conference Paper
Full-text available
Résumé : Toutes activités de gestion des connaissances nécessitent la mise en place d'un mécanisme de représentation de la connaissance. La modélisation semi-formelle graphique est une technique de représentation qui se démocratise de plus en plus grâce à sa convivialité d'utilisation. Cependant, le modèle semi-formel produit est un document inform...
Conference Paper
Full-text available
RÉSUMÉ. L'Architecture Conduite par les Modèles, tel que défini par L' « Object Management Groupe », préconise d'utiliser le « Meta Object Facility » en tant qu'espace de modélisation ainsi que l' « Object Constraint Language » et le « Query / View / Transformation » en tant que langage de transformation entre un modèle source et le modèle cible. C...
Thesis
Full-text available
Develop a formal ontology requires a certain expertise, which is mostly inaccessible to content experts. However, more and more experts are using the half-formal modeling to represent their expertise, because such language is best known for its ease of use and ability to represent declarative, procedural, strategic and factual knowledge. Half-forma...
Chapter
ological engineering is a methodology that proposes various processes for constructing ontologies (Corcho, Fernández-López, & Gómez- Pérez, 2006; Davies, Fensel, & Harmelen, 2003; Dietz, 2006; Gaševic, Djuric, & Devedžic, 2006; Gómez-Pérez, Fernández-López, & Corcho, 2003; T. Gruber, 1993; Guarino, 1997; Horridge, Knub lauch, Rector, Stevens, & Wro...
Article
Full-text available
Cet article présente une méthodologie assistée de conception d'une ontologie à travers trois méthodes, soit une méthode d'élicitation des connaissances d'un domaine résultant en un modèle semi-formel de ces connaissances, une méthode de formalisation conduisant à la production d'une ontologie et une méthode de validation syntaxique et sémantique de...
Conference Paper
Full-text available
The construction of an ontology implies three main activities which are generally conducted by a knowledge engineer: (1) knowledge elicitation, (2) formalization of the elicited knowledge into an ontology and (3) syntactic and semantic validation of the ontology. The whole process is complex and requires high competencies from the knowledge enginee...
Article
Full-text available
Data acquisition using more than one energy window has been proposed principally for scatter correction in positron emission tomography (PET). However, prior to scatter correction, such data must be corrected for various distortions including detector efficiency and spectral nonuniformities. The aim of this work is to describe and validate a normal...
Thesis
Full-text available
En tomographie par émission de positrons (TEP), le processus de construction d'image, nécessite l'utilisation d'une caméra pour acquérir les données et un calculateur qui traitera ces données afin de produire une image. La caméra est munie d'un anneau de détecteurs sensible aux rayons gamma qu'émet un objet placé en son centre. La disposition annul...
Conference Paper
We have presented new search techniques for the second pass in our large-vocabulary continuous speech recognition system. In order to avoid the exponential growth of the tree structure in the depth first search, it is necessary to merge the recognition hypotheses in the course of the search. To further speed up the search, pruning is imposed at bot...
Article
The INRS large‐vocabulary continuous‐speech recognition system employs a two‐pass search. First, inexpensive models prune the search space; then a powerful language model and detailed acoustic–phonetic models scrutinize the data. A new fast match with two‐phone lookahead and pruning speeds up the search. In language modeling, excluding low‐count st...
Conference Paper
New techniques are developed for the second pass search in our large vocabulary continuous speech recognition system. The merging of recognition hypotheses is proposed in order to linearize the exponential growth of the tree structure in the depth first search. Branching ordering of the first pass word graph and pruning at both word and phone level...
Article
The INRS large‐vocabulary continuous‐speech recognition system employs a two‐pass search. First, inexpensive models prune the search space; then a powerful language model and detailed acoustic–phonetic models scrutinize the data. A new fast match with two‐phone lookahead and pruning speeds up the search. In language modeling, excluding low‐count st...
Article
The Sherbrooke positron emission tomography (PET) simulator was designed and built to investigate parameters which influence the performance of a high-resolution PET camera based on avalanche photodiode detectors. The simulator consists of a computer controlled scanning table with 32 detection channels shared between front-end cassettes and FASTBUS...
Article
A stationary sampling scheme applicable to tomographic instruments incorporating two or more detector layers is described and tested. In this concept, the detectors in adjacent layers are angularly offset by half the interdetector distance. By reconstructing in one single slice all lines of response defined by two adjacent rings of detectors, a fou...
Conference Paper
The Sherbrooke PET (positron emission tomography) simulator was designed and built to investigate the performance characteristics of a high-resolution PET camera based on avalanche photodiode detectors. The simulator consists of a computer-controlled scanning table with 32 detection channels shared between front-end casettes and FASTBUS boards, and...
Conference Paper
A novel normalization technique for multispectral acquisition (MSA) in positron emission tomography (PET) imaging is described. MSA data are affected by spectral nonuniformity due to variations in detector characteristics. As with conventional methods, the normalization must preserve counts as it reduces nonuniformity but spectral shapes must be re...
Conference Paper
Multispectral acquisition (MSA) positron emission tomography (PET) imaging, whereby the energy information is encoded at the same time as the detector addresses, is proposed as a novel approach to recover useful information from the Compton spectrum and improve both sensitivity and contrast in high-resolution PET images. Preliminary experimental da...
Article
A stationary sampling scheme applicable to tomographic instruments incorporating two or more detector layers is described. In this concept, the detectors in adjacent layers are angularly offset by half the interdetector distance. By reconstructing in one single slice all lines of response defined by two adjacent rings of detectors, a fourfold incre...
Article
Full-text available
The prototype of a high-resolution PET (positron emission tomography) camera consisting of two opposite arrays of detectors with independent solid-state readout was built and tested. The basic detector unit is the RCA C30994 detector module consisting of two 3-mm×5-mm×20-mm BGO scintillators, each coupled to one silicon avalanche photodiode. The tw...

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Projects

Projects (5)
Project
VIVO is working with collaborators to create new opportunities for representing scholarship and using that information to advance knowledge. The aim of this project is to present the technological contributions in the field of semantic web and ontological engineering dedicated to VIVO.