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Lecture Notes in Computer Science
The last decade of research in ontology alignment has brought a variety of computational techniques to discover correspondences between ontologies. While the accuracy of automatic approaches has continuously improved, human contributions remain a key ingredient of the process: this input serves as a valuable source of domain knowledge that is used to train the algorithms and to validate and augment automatically computed alignments. In this paper, we introduce CROWDMAP, a model to acquire suchdoi:10.1007/978-3-642-35176-1_33 fatcat:i3w5lzghjbek3g3tyspbcjdlqa