Instance matching benchmarks in the era of Linked Data

Evangelia Daskalaki, Giorgos Flouris, Irini Fundulaki, Tzanina Saveta

Abstract


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.

Full Text: Untitled
Type of Paper: Research Paper
Keywords: Benchmarking; Instance matching; Ontology matching; Semantic Web Data; Ontologies; Linked Data
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