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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 semanticdoi:10.1007/s10844-016-0426-3 fatcat:yhvxr3okfvf2bm64qnezgciadi