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Lecture Notes in Computer Science
Ontology-based knowledge bases (KBs) like DBpedia are very valuable resources, but their usefulness and usability are limited by various quality issues. One such issue is the use of string literals instead of semantically typed entities. In this paper we study the automated canonicalization of such literals, i.e., replacing the literal with an existing entity from the KB or with a new entity that is typed using classes from the KB. We propose a framework that combines both reasoning and machinedoi:10.1007/978-3-030-30793-6_7 fatcat:b26y7ew5lbcpho6ftvdmwdkcy4