A Conceptual Framework for Quality Asses Sment of Semantic Mapping between Spatial Ontologies

Quality of integrated data depends on the quality of original data sources, but it can also be affected by the semantic mapping process between ontologies of different sources, thus influencing the quality of querying between multiple data sources. Being aware of semantic mapping quality could help interpreting mapping results in order to obtain better integration of heterogeneous data and would provide higher data quality to users. The question that is still unanswered is how semantic mapping quality can be defined and represented. In this paper, we propose a conceptual framework for characterising semantic mapping quality, which includes a metamodel showing relationship between semantic mappings and their quality aspects, as well as original definitions for characteristics of mapping quality. We define several Mapping Conflict Predicates that can be used to detect incoherence between mappings. We also propose a new semantic model of mapping that includes the different characteristics of mapping quality, which we called semantic model of quality mapping.