Isabelle Wattiau

Isabelle Wattiau
Conservatoire National des Arts et Métiers | CNAM

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156
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Publications

Publications (156)
Chapter
Historians analyze information from diverse and heterogeneous sources to verify hypotheses and/or to propose new ones. Central to any historical project is the concept of uncertainty, reflecting a lack of confidence. This may limit the scope of the hypotheses formulated. Uncertainty encompasses a variety of aspects including ambiguity, incompletene...
Chapter
Multidimensional data warehouses represent an important artefact used by organizations to facilitate decision-making. However, they can be inefficient to cope with the growing need to execute complex queries. In addition, they experience difficulties in managing sparse matrices and are not efficient in managing schemas’ evolution. To deal with thes...
Preprint
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Historians, and in particular researchers in prosopography, focus a lot of effort on extracting and coding information from historical sources to build databases. To deal with this situation, they rely in some cases on their intuition. One important issue is to provide these researchers with the information extracted from the sources in a sufficien...
Chapter
Historians, and in particular researchers in prosopography, focus a lot of effort on extracting and coding information from historical sources to build databases. To deal with this situation, they rely in some cases on their intuition. One important issue is to provide these researchers with the information extracted from the sources in a sufficien...
Chapter
Graph databases have been developed to meet data persistence requirements, notably from social networks. They are, like the other NoSQL databases, often schemaless. This paper describes an incremental approach deriving a conceptual model from a graph database by analyzing a Cypher flow of queries. This reverse engineering approach embeds three main...
Chapter
The humanities focus on understanding human beings and cultures. They include such disciplines as history, literature, and the arts. Digital humanities, defined as the application of IT to research and teaching in the humanities, is well established as a field in its own right. More particularly, research in the humanities is in demand of innovativ...
Article
Full-text available
Security requirements are known to be “the most difficult of requirements types” and potentially the ones causing the greatest risk if they are not correct. One approach to requirements elicitation is based on the reuse of explicit knowledge. AMAN-DA is a requirement elicitation method that reuses encapsulated knowledge in security and domain ontol...
Article
International audience Prosopographic databases, which allow the study of social groups through their bibliography, are used today by a significant number of historians. Computerization has allowed intensive and large-scale exploitation of these databases. The modeling of these proposopographic databases has given rise to several data models. An im...
Conference Paper
Big Data has been described as a four-dimensional model with Volume, Variety, Velocity, and Veracity. In this paper we discuss the potential of a model-driven approach (MDA) to tackle design issues of Big Data taking into account the effect of the four dimensions. Our approach considers NoSQL graph databases. The approach is applied to the case of...
Chapter
Emerging technologies represent a major innovation that offers significant advances to both private and public organizations. Examples of these technologies are the “Blockchain technology” which combines cryptographic mechanisms and peer-to-peer (P2P) architecture and “Smart Data Discovery” combining artificial intelligence and analytics. The impor...
Conference Paper
Web application developers are not all experts. Even if they use methods such as UWE (UML web engineering) and CASE tools, they are not always able to make good decisions regarding the content of the web application, the navigation schema, and/or the presentation of information. Literature provides them with many guidelines for these tasks. However...
Conference Paper
As the design science research (DSR) paradigm has evolved, several frameworks and taxonomies have been proposed to aid researchers in understanding and applying DSR principles and practices to evaluate the knowledge produced. This paper attempts to integrate two such efforts, the evaluation methods taxonomy and the genres of inquiry framework, in a...
Article
Big Data has emerged as a significant area of study for both practitioners and researchers. Big Data is a term for massive data sets with large structure. In 2012, Big Data passed the top of the Gartner Hype Cycle, attesting the maturity level of this technology and its applications. The aim of this paper is to examine how do researchers grasp the...
Conference Paper
The design science research (DSR) paradigm is now established and reco gnized within the information systems (IS) community. The members of the DSR community have a common language and shared perceptions. However, it remains to define what constitutes the fundamental issues, theories, applications, and the main findings in this area. In other words...
Article
Full-text available
The recent buzz around open data highlighted the crucial problem of anonymization in the context of data publishing. Many research efforts were devoted to the definition of techniques performing such an anonymization. However the selection of the most relevant technique and the adequate algorithm is complex. Successful decision depends firstly on t...
Conference Paper
Big Data has emerged as a significant area of study for both practitioners and researchers. Big Data is a term for massive data sets with large structure. In 2012, Big Data passed the top of the Gartner Hype Cycle, attesting the maturity level of this technology and its applications. The aim of this paper is to examine whether the Big Data research...
Conference Paper
Full-text available
Taxonomies are essential in science. By classifying objects or phenomena, they facilitate understanding and decision making. In this paper, we focus on the development of taxonomies for complex emerging technologies. This development raises specific challenges. More specifically, complex emerging technologies are often at the intersection of severa...
Article
Artifacts, such as software systems, pervade organizations and society. In the field of information systems (IS) they form the core of research. The evaluation of IS artifacts thus represents a major issue. Although IS research paradigms are increasingly intertwined, building and evaluating artifacts has traditionally been the purview of design sci...
Conference Paper
Full-text available
Security is an important issue that needs to be taken into account at all stages of information system development, including early requirements elicitation. Early analysis of security makes it possible to predict threats and their impacts and define adequate security requirements before the system is in place. Security requirements are difficult t...
Article
Full-text available
Security is a concern that must be taken into consideration starting from the early stages of system development. Over the last two decades, researchers and engineers have developed a considerable number of methods for security requirements engineering. Some of them rely on the (re)use of security knowledge. Despite some existing surveys about secu...
Article
Les systèmes d?information comptables ont pour objectif de fournir les informations pertinentes et de qualité aux utilisateurs et aux décideurs. Il existe de nombreux modèles et de cadres de références facilitant la modélisation de ces systèmes. Parmi eux, Le modèle Ressources-Evénements-Agents (REA) semble émerger comme un des plus importants. Nou...
Article
Ce numéro spécial sur les entrepôts de données et la business intelligence (BI) propose plusieurs articles couvrant quelques aspects très actuels de la thématique. En effet, qu?il s?agisse de données classiques, de textes, d?informations géographiques, la problématique de leur stockage et de leur utilisation reste ouverte. La diversité et la riches...
Article
La « Business Intelligence » (BI) a connu ces dernieres annees une croissance importante, tant en ce qui concerne les produits disponibles sur le marche que le nombre d?entreprises qui l?ont adoptee. De meme les chercheurs se sont attaques aux problematiques techniques et organisationnelles soulevees par ce domaine tres dynamique de l?informatique....
Conference Paper
Cloud computing and big data offer new opportunities for business intelligence (BI) and analytics. However, traditional techniques, models, and methods must be redefined to provide decision makers with service of data analysis through the cloud and from big data. This situation creates opportunities for research and more specifically for design-sci...
Article
Many techniques, such as generalization algorithms have been proposed to ensure data anonymization before publishing. However, data publishers may feel unable to choose the best algorithm given their specific context. In this position paper, we describe synthetically the main generalization algorithms focusing on their constraints and their advanta...
Article
Full-text available
We propose an innovative approach and its implementation as an expert system to achieve the semi-automatic detection of candidate attributes for scrambling sensitive data. Our approach is based on semantic rules that determine which concepts have to be scrambled, and on a linguistic component that retrieves the attributes that semantically correspo...
Article
Design science in Information Systems (IS) research pertains to the creation of artifacts to solve real-life problems. Research on IS artifact evaluation remains at an early stage. In the design-science research literature, evaluation criteria are presented in a fragmented or incomplete manner. This paper addresses the following research questions:...
Conference Paper
The website of a company may be a real and sustainable competitive advantage. However, the quality of web applications does not increase as well as their rapid development. In software engineering many quality models were proposed. Research on website quality is prolific. State-of-the-arts on website quality have already been published. However, du...
Conference Paper
Full-text available
Recent research has argued about the importance of considering security during Requirements Engineering (RE) stage. Literature also emphasizes the importance of using ontologies to facilitate requirements elicitation. Ontologies are known to be rich sources of knowledge, and, being structured and equipped with reasoning features, they form a powerf...
Article
This paper addresses the issue of improving quality of business process (BP) models by exploiting domain knowledge. Indeed, business process models reflect the business processes of companies. The success of these processes has a direct and undeniable impact on business operations success. Managing them through their underlying models helps improvi...
Conference Paper
Full-text available
Business process (BP) modeling aims at a better understanding of processes, allowing deciders to improve them. We propose to support this modeling with an approach encompassing methods and tools for BP models quality measurement and improvement. In this paper we focus on semantic quality. The latter is evaluated by aligning BP model concepts with d...
Conference Paper
Full-text available
In recent years the problems related to modeling and improving business processes have been of growing interest. Indeed, companies are realizing the undeniable impact of a better understanding and management of business processes (BP) on the effectiveness, consistency, and transparency of their business operations. BP modeling aims at a better unde...
Chapter
La dépendance des entreprises et des organisations vis-à-vis de leurs systèmes d’information (SI) n’est plus à démontrer. Cette réalité conduit les décideurs à assurer une qualité acceptable des systèmes d’information. Une des caractéristiques principales de la qualité de ces systèmes est sa nature multidimensionnelle. Stylianou et Kumar [STY 00] c...
Article
This paper proposes an MDA approach to knowledge engineering, centered on the CommonKADS knowledge model. The latter corresponds to the CIM level of MDA whereas PRR, which represents production rules and rulesets, corresponds to the PIM level. The paper explores the mapping between CommonKADS knowledge models and production rules and rulesets based...
Conference Paper
Full-text available
Despite existing methodologies in the field, most requirements engineers are poorly trained to define security requirements. This is due to a considerable lack of security knowledge. Some security ontologies have been proposed, but a gap still exists between the two fields of security requirement engineering and ontologies. This paper is a survey,...
Conference Paper
Full-text available
Business intelligence is based on data warehouses. Data warehouses use a multidimensional model, which represents relevant facts and their measures according to different dimensions. Based on this model, OLAP cubes may be defined, enabling decision makers to analyze and synthesize data. Ontologies (and, more specifically, OWL ontologies) are a key...
Article
Full-text available
Information system (IS) quality can be characterized as a multidimensional system. It encompasses software quality as well as data quality. It also comprises model quality, service quality, process quality, and more generally IS quality. Modeling several aspects of IS quality leads to specific ontologies. To the best of our knowledge, there is no g...
Article
Full-text available
Information quality is a complex and multidimensional notion. In the context of information system engineering, it is also a transversal notion and to be fully understood, it needs to be evaluated jointly considering the quality of data, the quality of the underlying conceptual data model and the quality of the software system that manages these da...
Article
Full-text available
Data warehouses are based on multidimensional modeling. Using On-Line Analytical Processing (OLAP) tools, decision makers navigate through and analyze multidimensional data. Typically, users need to analyze data at different aggregation levels (using roll-up and drill-down functions). Therefore, aggregation knowledge should be adequately represente...
Conference Paper
This paper aims at supporting the knowledge engineering process by proposing an approach to map CommonKADS knowledge models into specifications based on the Production Rule Representation (PRR) language. This approach starts by proposing a metamodel of CommonKADS knowledge models. We define the concept of inference group, required to perform the ma...
Conference Paper
Conceptual models are of prime importance to ensure a high level of quality in designing information systems. It has been witnessed that the majority of information systems (IS) change requests result due to deficient functionalities in the information systems. Therefore, a good analysis and design method should guarantee that conceptual models are...
Conference Paper
Over the past years, research on specifying, designing and developing secured information systèmes (IS) has been very active. Some contributions have focused on integrating security aspects, mainly access control mechanisms, at the implementation phase. Others pay a particular attention to the capture and analysis of security requirements. However,...
Article
Over the past years, research on specifying, designing and developing secured information systems (IS) has been very active. Some contributions have focused on integrating security aspects, mainly access control mechanisms, at the implementation phase. Others pay a particular attention to the capture and analysis of security requirements. However,...
Conference Paper
Conceptual models serve as the blueprints of information systems and their quality plays a decisive role in the success of the end system. It has been witnessed that majority of the IS change-requests result due to deficient functionalities in the information systems. Therefore, a good analysis and design method should ensure that conceptual models...
Conference Paper
Decision support systems are mainly based on multidimensional modeling. Using On-Line Analytical Processing (OLAP) tools, decision makers navigate through and analyze multidimensional data. Typically, users need to analyze data at different aggregation levels, using OLAP operators such as roll-up and drill-down. Roll-up operators decrease the detai...
Conference Paper
The last decade has seen an unprecedented rate of development of Web-Based Information System (WBIS). Enormous investment is currently being made in WBIS systems. There is a concern about whether the true capability of WBIS is being realized. As a consequence, growing attention is being paid to assessing the inherent contribution of WBIS. In this p...
Conference Paper
Full-text available
In order to validate user requirements, tests are often conducted on real data. However, developments and tests are more and more outsourced, leading companies to provide external staff with real confidential data. A solution to this problem is known as Data Scrambling. Many algorithms aim at smartly replacing true data by false but realistic ones....
Article
Full-text available
Quality is a multidimensional concept encompassing different semantics related to different contexts. Information systems quality covers several aspects and dimensions including human, technological and organizational dimensions. Evaluating the dimensions of an information system requires taking into account respectively data quality as well as mod...
Article
Tout système d'information connaît des changements du fait de différents facteurs : évolution des besoins fonctionnels et non fonctionnels, modification des règles de gestion, changement d'activités inhérentes aux processus métiers, adaptation aux nouvelles plateformes technologiques, changement dans les organisations et dans leur stratégie, etc. L...
Article
Data warehouses are based on multidimensional modeling. Using On-Line Analytical Processing (OLAP) tools, decision makers navigate through and analyze multidimensional data. Typically, users need to analyze data at different aggregation levels (using roll-up and drill-down functions). Therefore, aggregation knowledge should be adequately represente...
Article
Conceptual model quality can be defined as a set of perceivable characteristics expressed with quantifiable parameters. The aim of the research described in this paper is to evaluate the quality of different conceptual model versions of the same universe of discourse by different Information Systems (IS) stakeholders. This paper describes: a) a set...
Conference Paper
Full-text available
Data quality has emerged as an important and challenging topic in recent years. In this article we are addressing the conceptual model quality since it has been widely accepted that better conceptual models produce better information systems and thus implicitly improve the data quality. Unfortunately there is neither standard nor agreed framework f...
Conference Paper
Quality assurance is a growing research domain within the Information Systems (IS) and Conceptual Modeling (CM) disciplines. Ongoing research on quality in IS and CM is highly diverse and encompasses theoretical aspects including quality definition and quality models, and practical/empirical aspects such as the development of methods, approaches an...
Article
Data quality has emerged as an important and challenging topic in recent years. This article addresses the conceptual model quality as it has been widely accepted that better conceptual models produce better information systems and thus implicitly improve the data quality. Conceptual Models are designed as part of the analysis phase and serve as a...
Article
SME as well as big companies are faced to the necessity of integrating mobility in personnel constraints. Virtual office softwares allow the employees to manage most business processes in mobility situations. They can access software applications wherever they are. The aim of this paper is to determine factors involved in the adoption of office vir...
Article
Full-text available
This paper presents an approach integrating data quality into the business intelligence chain in the context of customer-relationship management (CRM) applications at EDF (Electricité de France), the major electricity company in France. The main contribution of this paper is the definition and instantiation of a generic multi-dimensional star-like...