Viewing knowledge engineering as a symbiosis of Modeling to make sense and modeling to implement systems

Linster, Marc

doi:10.1007/bfb0018995

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…Linster in [11] shows that the interaction among domain experts, knowledge engineers and tools creates the knowledge. He has shown that the process of elaborating a knowledge-based system is a constructive model-building process that includes: a discussion process between knowledge engineers and domain experts as well as the construction of a conceptual model (i.e.…”

Section: Conceptual Modeling For the Foundational Knowledgementioning

confidence: 99%

Adding Semantic Extension to Wikis for Enhancing Cultural Heritage Applications

Leclercq

Savonnet

2011

Communications in Computer and Information Science

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Abstract. Wikis are appropriate systems for community-authored content. In the past few years, they show that are particularly suitable for collaborative works in cultural heritage. In this paper, we highlight how wikis can be relevant solutions for building cooperative applications in domains characterized by a rapid evolution of knowledge. We will point out the capabilities of semantic extension to provide better quality of content, to improve searching, to support complex queries and finally to carry out different type of users. We describe the CARE project and explain the conceptual modeling approach. We detail the architecture of WikiBridge, a semantic wiki which allows simple, n-ary and recursive annotations as well as consistency checking. A specific section is dedicated to the ontology design which is the compulsory foundational knowledge for the application.

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Section: Conceptual Modeling For the Foundational Knowledgementioning

confidence: 99%

Adding Semantic Extension to Wikis for Enhancing Cultural Heritage Applications

Leclercq

Savonnet

2011

Communications in Computer and Information Science

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“…Linster dans (Linster, 1992) montre que l'interaction entre les experts du domaine, les spécialistes en ingénierie de représentation des connaissances et les outils crée la connaissance. Il a mis en évidence que le processus pour élaborer un système à base de connaissances est un processus itératif de construction de modèles qui comprend : 1) un processus de discussion entre les spécialistes en ingénierie de représentation des connaissances et les experts du domaine et 2) la construction d'un modèle conceptuel c'est-à-dire d'un cadre général et abstrait.…”

Section: Introductionunclassified

Système d’information pour la production de connaissances. L'approche wiki sémantique

Leclercq¹,

Savonnet²

2012

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Dans cet article, nous montrons comment les wikis peuvent être des solutions pertinentes pour construire un corpus numérique dans des domaines caractérisés par une évolution rapide de la connaissance. Nous mettons en exergue les capacités d'adaptation des wikis, nous montrons que les extensions sémantiques développées permettent un meilleur contrôle de la qualité du contenu, améliorent la recherche par la possibilité d'écrire des requêtes complexes et supportent différents types d'utilisation. Nous commençons par une comparaison de la représentation de la connaissance et de son exploitation dans les applications. L'architecture du wiki sémantique, WikiBridge, ainsi que son modèle d'annotations et les mécanismes de contrôle de consistance sont présentés. Une section est consacrée à la validation de WikiBridge avec une application archéologique (le projet CARE) ainsi que la conception de l'ontologie qui représente la connaissance fondamentale nécessaire à cette application. ABSTRACT. In this paper, we highlight how wikis can be relevant solutions for building applications in domains characterized by a rapid evolution of knowledge. We will point out the capabilities of semantic extension to provide better quality of content, to improve searching, to support complex queries and finally to carry out on different type of users. We detail the architecture of WikiBridge, a semantic wiki, its annotation model and the consistency checking mechanism. A specific section is dedicated to the description of the CARE project and ontology design which is the compulsory foundational knowledge for the application.

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“…Linster presents two views on model building: 1) modelling to make sense and 2) modelling to implement systems [16]. Modeling to make sense is used to formally organize domain knowledge whereas modeling to implement, the most commonly used, consits in organizing the components of a system to execute them on a computer.…”

Section: Introductionmentioning

confidence: 99%

A Approach to Clinical Proteomics Data Quality Control and Import

Naubourg

Savonnet

Leclercq

et al. 2011

Information Technology in Bio- And Medical Informatics

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Abstract. Biomedical domain and proteomics in particular are faced with an increasing volume of data. The heterogeneity of data sources implies heterogeneity in the representation and in the content of data. Data may also be incorrect, implicate errors and can compromise the analysis of experiments results. Our approach aims to ensure the initial quality of data during import into an information system dedicated to proteomics. It is based on the joint use of models, which represent the system sources, and ontologies, which are use as mediators between them. The controls, we propose, ensure the validity of values, semantics and data consistency during import process.

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Viewing knowledge engineering as a symbiosis of Modeling to make sense and modeling to implement systems

Cited by 3 publications

References 10 publications

Adding Semantic Extension to Wikis for Enhancing Cultural Heritage Applications

Adding Semantic Extension to Wikis for Enhancing Cultural Heritage Applications

Système d’information pour la production de connaissances. L'approche wiki sémantique

A Approach to Clinical Proteomics Data Quality Control and Import

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