About SimCat
SimCat is a project at the Institute for Geoinformatics, University of Münster. It is funded by the German Research Foundation (DFG) under the full title Semantic Similarity Measurement for Role-Governed Geospatial Categories. The research with in SimCat includes the following topics:
Semantic similarity (and)
- Time:
Concepts evolve over time and therefore also their similarity. - Context:
As Goodman puts it, there is no meaning of similarity without defining its respects. - Goals / Affordances:
Beside context, the goals and abilities of the user have influence on similarity. - Structured Representation:
Concepts are not bags of features, but have a structure that influences similarity. - Representation Extraction:
How to extract dimensions for geometric similarity approaches out of databases? - As Compromise:
The role of similarity in decision support systems involving several users. - Generalization:
Levels of abstractions and their influence on similarity. - Description Logics:
How to measure similarity between DL-concepts. - Activation/Artificial Neural Networks:
Can we use neural networks as activation & alignment structures for similairty?