Yann Pollet

An Ontology-Based Architecture for Federated Identity Management

Federated identity platform on the basis of digital content require sophisticated descriptions of that content, as well as service-oriented carrier architectures that allow negotiating and enforcing contract and license schemes in heterogeneous digital application environments. So this paper gives ontology in the Web Ontology Language (OWL) for federated identity systems, giving explicit, formal, and general specifications of a conceptualization of such architecture. OWL ontologies are standardized, machine-readable formats that support automated processing with Semantic Web applications. Intermediate concepts, concepts between base-level concepts and higher level concepts, are central in a federated identity system.

Ontology based knowledge modeling for System Engineering projects

System Engineering projects are characterized by knowledge intensive processes. Creating effective Knowledge Management Systems is one of the key success factors in engineering process improvement. In this paper, we focus on the knowledge modeling issue. Our main objective is to provide a semantic description for knowledge items created and/or used in system engineering processes in order to facilitate their reuse. The framework is based on a set of layered ontologies where entities such as domain concepts, engineering processes, artefacts models, are interlinked to capture explicit as well as implicit engineering project knowledge.

An Ontological Framework for Knowledge Management in Systems Engineering Processes

Systems Engineering (SE) processes comprise highly creative and knowledge-intensive tasks that involve extensive problem-solving and decision-making activities among interdisciplinary teams (Meinadier, 2002). SE projects involve the definition of multiple artifacts that present different formalization degrees, such as requirements specification, system architecture, and hardware/ software components. Transitions between the project phases stem from decision making processes supported both by generally available domain and design knowledge. We argue that Knowledge about engineering processes constitutes one of the most valuable assets for SE organizations. Most often, this knowledge is only known implicitly, relying heavily on the personal experience background of system engineers. To fully exploit this intellectual capital, it must be made explicit and shared among project teams. Consistent and comprehensive knowledge management methods need to be applied to capture and integrate the individual knowledge items emerging in the course of a system engineering project.

Mobile Agents and Their Ontology Serving a Federated Identity Platform

Like the Web services, federated identity wins gradually businesses. The creation of an infrastructure of federated identity is a viable alternative to current systems.For employees or users, a federated identity leads to a better experience of the Internet, a greater level of customization, more security and a real control of this identity. In this work we will propose choreography for a platform of federated identity based on mobile agents whose benefits will offer more autonomy and flexibility. The use of agents will be accompanied by a definition of ontology allowing them to rely on a single vocabulary, a structured description to better operate and cooperate.

Architecture of a medical information extraction system

We present in this article an innovative architecture of information extraction system applied to the medical domain. The content of documents (free texts) can be described or reduced to some relevant information. Our aim is to set a process in order to exploit efficiently the content of the documents. We will explain that the medical information extraction task can be analysed into three steps: Extraction “identify and extract a set of events and entities like date, names, medical terms”, Generation “create from these events and entities the relevant information”, Knowledge acquisition “validate and correct the extraction and generation results”. These analysis require to make various approaches in linguistic, statistic and artificial intelligent cooperate and use together specialised terminology as medical nomenclatures ICD-10 and CCMA and linguistic resources.

Semantic of Data Dependencies to Improve the Data Quality

Data quality in databases is a critical challenge because the cost of anomalies may be very high, especially for large databases. Therefore, the correction of these anomalies represents an issue that has become more and more important both in enterprises and in academia. In this work, we address the problems of intra-column and inter-columns anomalies in big data. We propose a new approach for data cleaning that takes into account the semantic dependencies between the columns of a data source. The novelty of our proposal is the reduction of the size of the search space in the process of functional dependency discovery based on data semantics. In this paper, we present the first steps of our work. They allow recognizing the semantics of data and correct intra-column anomalies.

User focused database summarization approach

Mining information from very large databases poses numerous challenges. In fact, systems that can mine such voluminous databases are increasingly desirable. In this context, we propose a generic approach of database summarization that takes into account the users interest topic. Innovation in our work consists in the generation of a set of database summaries having different levels of granularity in order to satisfy the users expectations.

Database summarization approach based on description logic theory

In this paper, we propose a new approach of database summarization. Our proposal consists in building a set of summaries that gives many levels of granularity. The main contribution of our work consists in giving a generic approach, based on description logic language, which operates on both the schema and the database content. The summarization process leads to building a lattice of summaries where each one gives a certain measure of precision. Our proposal offers a generic setting in which current summarization techniques can be considered as particular cases.

Notice of Retraction Using Infrastructure Service Orchestration to Enable a Federated Identity Architecture

The aim of this paper is to propose the integration of the orchestration of services within federated identities architecture. The alignment of these two axes of research permits to match homologous subparts existing under federated identities services, helping to resolve them into factors for an optimal reorganization of these services. This orchestration will introduce greater dynamism and scalability in the management of inter-systems and even the integration of new services.

Knowledge Modeling Framework for System Engineering Projects

System Engineering (SE) projects encompass knowledge-intensive tasks that involve extensive problem solving and decision making activities among interdisciplinary teams. Management of knowledge emerging in previous SE projects is vital for organizational process improvement. To fully exploit this intellectual capital, it must be made explicit and shared among system engineers. In this context, we propose a knowledge modelling framework for system engineering projects. Our main objective is to provide a semantic description for knowledge items created and/or used in system engineering processes in order to facilitate their reuse. The framework is based on a set of layered ontologies where entities such as domain concepts, actors, decision processes, artefacts, are interlinked to capture explicit as well as implicit engineering project knowledge.