There are various real-world applications and areas, knowledge that handles with
ambiguity, imperfect, or partial are difficult to capture. Such situations cause problems to …

Today, knowledge graphs (KGs) are growing by enrichment and refinement methods. The
enrichment and refinement can be gained using the correction and completion of the KG …

A knowledge graph (KG) is a structural form of semantic network that integrates triplets into a
graph to support knowledge processing and reasoning. Popular KGs like DBpedia, YAGO …

There are many methods for the RDF knowledge base correction in which errors are
detected and then deleted or repaired if necessary. Although most of them do only detection …

Abstract A Knowledge Graph (KG) is a knowledge model containing facts about real world
entities represented as a graph. It is a collection of interlinked descriptions of entities …

The usefulness and usability of existing knowledge graphs (KGs) are mostly limited because
of the incompleteness of knowledge compared to the growing number of facts about the real …

Abstract A Knowledge Graph (KG) is a semantic network representing real-world entitiesie,
objects, events, situations, or concepts. It illustrates the relationship between them. The …

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抄録 In this paper, we proposed methods that develop knowledge graph using ontology
matching. Wikipedia, DBpedia, and other Linked Data resources are almost clustered by …