Christina Khnaisser

Christina Khnaisser
Université de Sherbrooke | UdeS · Faculté de médecine et des sciences de la santé

Professor

About

12
Publications
922
Reads
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17
Citations
Citations since 2017
7 Research Items
17 Citations
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Introduction
Research interests : data integration, data warehouse modelling, database design, semantic web, ontology engineering, data management.

Publications

Publications (12)
Chapter
Finding anomalies in temporal relational databases is a difficult and challenging task, in particular if data is integrated from different sources. The problem is especially pressing in healthcare information systems, where temporal anomalies can pinpoint critical events such as erroneous drug administration or prescription. In this paper, we defin...
Article
Full-text available
Background A large volume of heavily fragmented data is generated daily in different healthcare contexts and is stored using various structures with different semantics. This fragmentation and heterogeneity make secondary use of data a challenge. Data integration approaches that derive a common data model from sources or requirements have some adva...
Preprint
Full-text available
Temporal information plays a crucial role in many database applications, however support for queries on such data is limited. We present an index structure, termed RD-index, to support range-duration queries over interval timestamped relations, which constrain both the range of the tuples' positions on the timeline and their duration. RD-index is a...
Thesis
Within an organization, many stakeholders must make decisions based on their vision of the organization, its environment, and the interactions between these two. In most cases, the data are fragmented in several uncoordinated sources, making it difficult, in particular, to trace their chronological evolution. These different sources are heterogeneo...
Article
Full-text available
A huge amount of data is being generated every day from different sources. Access to these data can be very valuable for decision-making. Nevertheless, the extraction of information of interest remains a major challenge given a large number of heterogeneous databases. Building shareable and (re)usable data access mechanisms including automated veri...
Conference Paper
Full-text available
An analysis based on referent tracking systems shows that a classical medical application of bitemporalized relational database that uses classes as attribute values is ambiguous in several respects. This suggests that to avoid such ambiguities, bitemporalized relational databases could be structured on the basis of ontological representations that...
Conference Paper
Traditional data warehouse design methods do not fully address some important challenges, particularly temporal ones. Among them past indeterminacy is not handled systematically and uniformly. Furthermore, most methods published until now present transformation approaches by providing examples rather than general and systematic transformation rules...
Thesis
Des systèmes informationnels de santé (SIS) ont été mis en place au cours des 20 dernières années pour soutenir les processus de soins, les tâches administratives et les activités de recherche ainsi que pour assurer la gestion raisonnée des établissements de santé. Un entrepôt de données (ED) doit être créé à partir de nombreuses sources de données...
Poster
Génération automatisée de schémas relationnels intemporels dans un contexte d’entrepôt de données
Conference Paper
In secondary data use context, traditional data warehouse design methods don’t address many of today’s challenges; particularly in the healthcare domain were semantics plays an essential role to achieve an effective and implementable heterogeneous data integration while satisfying core requirements. Forty papers were selected based on seven core re...
Poster
Architecture et méthode de construction d’entrepôts de données au coeur des systèmes informationnels régionaux de santé.

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