MOMA Framework - How to find a suitable matching approach

Current matching algorithms cannot be optimally used in ontology matching tasks as envisioned by the Semantic Web community, mainly because of the inherent dependency between approaches and ontology properties. As one possible solution we propose a Metadata-based Ontology MAtching (MOMA) framework based on a reuse-paradigm that, given a set of ontologies to be matched, takes into account the capabilities of existing matching algorithms and suggests appropriate ones for application. A Web-enabled matching framework requires a highly flexible selection and composition of available matching services in order to take full advantage of the broad spectrum of ontologies across the network. This will be reached by applying a flexible tool for decision-making and dependency rules-statements.