Rule-based approaches to comparative modelling

Rule-Based Modelling, Symmetries, Refinements

Rule-based modelling is particularly effective for handling the highly combinatorial aspects of cellular signalling. The dynamics is described in terms of interactions between partial complexes, and the ability to write rules with such partial complexes -i.e., not to have to specify all the traits of the entitities partaking in a reaction but just those that matteris the key to obtaining compac...

Rule-Based Modelling In GIS

Geographic Information Systems (GIS) provide functionality for visualising, managing and manipulating spatially referenced data. For straight forward spatial queries users perform these functions through a graphical user interface, for more advanced spatial models the user is often required to write a program as a formulation of the problem. The objective of this paper is to find out what type ...

Comparative Immunology-Based Approaches To Veterinary Diseases

Towards Rule Learning Approaches to Instance-based Ontology Matching

Ontology matching approaches have mostly worked on the schema level so far. With the advent of Linked Open Data and the availability of a massive amount of instance information, instance-based approaches become possible. This position paper discusses approaches and challenges for using those instances as input for machine learning algorithms, with a focus on rule learning algorithms, as a means...

Adding Rule-Based Model Transformation to Modelling Languages in MetaEdit+

MetaEdit+is a commercial tool by MetaCase for creating domainspecific, syntax-directed visual modelling environments. MetaEdit+synthesizes such environments from user-provided metamodels and contains a Generator Editor for code/report generation. An API is provided to allow external manipulation of models through SOAP. Currently, the MetaEdit+ tool does not natively support rule-based model-to-...