Rule-based schema matching for ontology-based mediators

Rule-based schema matching for ontology-based mediators

Mediating heterogeneous data sources heavily relies on explicit domain knowledge expressed, for example, as ontologies and mapping rules. We discuss the use of logic representations for mapping schema elements onto concepts expressed in a simplified ontology for cultural assets. Starting with a logic representation of the ontology, criteria for a rule-based schema matching are exemplified. Spec...

Duplicate based schema matching

The integration of independently developed data sources poses many problems, which are the result of several types of heterogeneity. One of the most daunting challenges is schema matching, which is the semi-automatic process of detecting semantic relationships between attributes in heterogeneous schemata. Various solutions that exploit schema information or extract specific features from attrib...

Constraint - Based Schema Matching

Ontology Schema-specific Rule Materialization

The reasoning should tackle big data issues like other domains as the size of ontology grows bigger and bigger. Especially, rule-based reasoning should overcome the following challenges: duplicate elimination and rule matching efficiency. To deal with these challenges, we introduce a new rulebased reasoning method which materializes each generic instance rule into several schema-specific instan...

Uncertainty in Ontology Matching: A Decision Rule-Based Approach

Considering the high heterogeneity of the ontologies published on the web, ontology matching is a crucial issue whose aim is to establish links between an entity of a source ontology and one or several entities from a target ontology. Perfectible similarity measures, considered as sources of information, are combined to establish these links. The theory of belief functions is a powerful mathema...