Query handling in geometric conceptual modelling

Authors Hui Ma
Klaus-Dieter Schewe
Editors Takehiro Tokuda
Yasushi Kiyoki
Hannu Jaakkola
Naofumi Yoshida
Title Query handling in geometric conceptual modelling
Booktitle Information Modelling and Knowledge Bases XXV
Type in book
Publisher IOS Press
Series Frontiers in Artificial Intelligence and Applications
Volume 250
ISBN 978-1-61499-360-5
Month February
Year 2014
Pages 174-189
SCCH ID# 1364
Abstract

The geometrically enhanced ER model (GERM) addresses conceptual geometric modelling on two levels. On the surface level GERM is an extended ER model, in which attributes are associated with types with sets of values as domains. On the internal level some of the types, the geometric types, are further associated with geometric domains, which define point sets by means of algebraic curves. For query handling the operations on geometric types give rise to operations on point sets, which can be realized by a small set of operations on algebraic curves. The core problem is then to obtain a surface representation as the result. We show that symbolic computation is essential for solving this problem.