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Ontological RDF data are extracted from multiple sources on the web through mapping and alignment for various purposes, but extracting and reasoning about ontologies from different sources causes information ambiguity and uncertainty. A reasonable solution to this problem is to annotate extracted ontology data with truth values to determine the reliability of information. However, the recent growth...
A number of reasoning studies on big ontology have been carried out in the recent years. However, most of the existing studies have focused heavily on Hadoop MapReduce. In this paper, we propose a reasoning approach for Resource Description Framework Schema (RDFS) that employs optimized methods based on Spark. Spark is a general distributed inmemory framework for large-scale data processing that is...
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