Charla "Contexts and Multidimensional Data Quality Assessment and Cleaning"

Leopoldo Bertossi, Carleton University, Canada.
13 Junio, 2014 - 10:00
Sala reuniones 3er. piso DCC
Pablo Barceló, académico DCC / director adjunto Centro de Investigación de la Web Semántica




Data quality and data cleaning are context dependent activities. Starting from this observation, in previous work a context model for the assessment of the quality of a database instance was proposed. In that framework, the context takes the form of a possibly virtual database or data integration system into which a database instance under quality assessment is mapped, for additional analysis and processing, enabling quality assessment. In this work we extend contexts with dimensions, and by doing so, we make possible a multidimensional assessment of data quality assessment. Multidimensional contexts are represented as ontologies written in Datalog±. We use this language for representing dimensional constraints, and dimensional rules, and also for doing query answering based on dimensional navigation, which becomes an important auxiliary activity in the assessment of data.


About the speaker:


Leopoldo Bertossi is Full Professor at the School of Computer Science, Carleton University (Ottawa, Canada), and a Faculty Fellow of the IBM Center for Advanced Studies. Until 2001 he was professor at the Department of Computer Science, PUC; and has been the President of the Chilean Computer Science Society (SCCC). He obtained a PhD in Mathematics from the Pontifical Catholic University of Chile (PUC). Prof. Bertossi's research interests include foundations of data management, uncertainty in databases, data management for business intelligence, data quality, data integration, knowledge representation, logic programming, computational logic, and statistical relational learning.


*Charla organizada por el Núcleo Mileno Centro de Investigación de la Web Semántica