Survey on the literature of ontology mapping, alignment and merging

摘要: Ontology Mapping, Alignment and Merging are a prominent field of research for the AI community. Indeed, an ontology is designed developed to be shared among multiple applications working communities. In other words, several ontologies need accessed by different information systems. The or build meta-layer that allows access resulting then share their informations, course, whith preserving semantics they contain. This later done after solving forms heterogeneity presented input ontologies. A key challenge raised researchers in community exploit potential these ontological operations domain such as semantic query processing, data integration, warehousing, E-Buziness E-Commerce, etc. aim this paper provide reader, who not very familiar with domain, introduction three main performed on These basis translation, reconciliation, coordination negotiation between supported mapping discovery results Design develop ontologies, was focus communities years. paper, we have surveyed literature methods tools mapping, alignment merging described approaches adopted designers detailing most important module (mappings discovery) discussed resolved algorithms.