Instance Matching Benchmarks in the Era of Linked Data

author: Tzanina Saveta, Foundation for Research and Technology - Hellas (FORTH)
published: Nov. 28, 2017,   recorded: October 2017,   views: 734
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Description

The goal of this survey is to present the state of the art instance matching benchmarks for Linked Data. We introduce the principles of benchmark design for instance matching systems, discuss the dimensions and characteristics of an instance matching benchmark, provide a comprehensive overview of existing benchmarks, as well as benchmark generators, discuss their advantages and disadvantages, as well as the research directions that should be exploited for the creation of novel benchmarks, to answer the needs of the Linked Data paradigm.

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