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On a retrieval of Linked Open Data using SPARQL, it is important to consider an execution cost of query, especially when the query utilizes inference capability on the endpoint. A query often causes unpredictable and unwanted consumption of endpoints' computing resources since it is sometimes difficult to understand and predict what computations will occur on the endpoints. To prevent such an execution of time-consuming queries, approximating the original query could be a good option to reducedoi:10.2197/ipsjjip.23.759 fatcat:d7i3uptujrhl7fyimeuv6ai6p4