ScLink: supervised instance matching system for heterogeneous repositories

Khai Nguyen, Ryutaro Ichise
2016 Journal of Intelligent Information Systems  
In this paper, we propose our prototype system, named MCHA SPAIDA, that allows us for cooperatively editing SPARQL queries by the help of anonymous helper users without revealing the detailed meaning of the query. This system dynamically generates ontology mappings to translate a modified query by using a query and some data on an endpoint. Ontology matching approaches have been applied to effectively anonymize the query to be cooperatively edited by other users without loss of semantic
more » ... s among data and vocabularies. To make ease of cooperative tracing and profiling of a query, our method will not directly modify the queries and given ontology mappings. Rather, our method tries to add a small amount of supplemental ontology mappings to effectively anonymize the meaning of original query.
doi:10.1007/s10844-016-0426-3 fatcat:yhvxr3okfvf2bm64qnezgciadi