Rule Modeling

Rule-based modeling is a modeling approach that uses a set of rules that implies a model. The rule-set can be used to create a model, or suitable tools can use a rule-set in place of a model. Rule-based modeling is especially effective in cases where the rule-set is significantly simpler than the model it implies, meaning that the model is a repeated manifestation of a limited number of patterns.


A tool that could be beneficial to the data mining community is one that facilitates the seamless integration of knowledge bases and databases. This kind of tool could form the foundation of a data mining system capable of finding interesting information using ontologies.

We present a research effort into the application of semantic web methods and technologies to address the challenging problem of integrating heterogeneous volcanic and atmospheric data in support of assessing the atmospheric effects of a volcanic eruption.

We present our work on semantically-enabled data and schema registration in the setting of a scientific data integration project: SESDI (Semantically-Enabled Scientific Data Integration), which aims initially to integrate heterogeneous volcanic and atmospheric chemical compound data in support of