Abstract
Various data has recently been made into Linked Data. Each resource defined in Linked Data is represented in the form of RDF data and is linked to other resources. There are many studies that extract particular information from Linked Data by calculating the similarity between the target resource and other resources. We propose two new methods to extract particular information from Linked Data, not only by calculating the similarity between resources but also by investigating what resources the target resource is linked to and how the target resource is linked to the other resources. One of the two methods is based on the resource analysis of Linked Data. We can extract information that has the same property information between a target resource and other resources. The other is a method based on the linked analysis of Linked Data. We can extract information with a particular trend through three scores that we have defined. We have verified that our proposed methods are useful by conducting a subject experiment.
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