Data Models and Theoretical Computer Science, in an interdisciplinary context (R-1830)

Our current information society is more than ever connected with data, data management remains an important area within IT. We see an ever increasing variety of data types, ranging from the Web, on patterns and geometric data, to DNA sequences. The disclosure of these types of data demands an interdisciplinary approach to contemporary research in database systems. This interdisciplinary approach shows itselfs in applications such as text and image retrieval, web mining, geometric queries, spatio-temporal data mining, and bioinformatics-algorithms. We propose a domain specific approach. We analyze carefully the various new needs on data management and design appropriate data models that can co-operate. This requires a diversification of the existing theory of database systems, an issue which is the expertise of the research group Theoretical Computer Science of the UHasselt. We concretize our project with the help of three current lines of research. In the domain of spatialquerying ,we explore flexible facilities for the questioning of GIS systems. In the field of data mining, we examine the joint opening of data and patterns mined from these data. Finally, we investigate data models for the applicability of DNA computing to data management.

Keywords:DATA MINING, DATABASE THEORY

Disciplines:Mathematical sciences and statistics