RDF Link Generation by Exploring Related Links on the Web of Data

Abstract

Interlinking RDF resources is a vital aspect of the Semantic Web technology. It is the basis of Linked Data that provides interlinked datasets on the web. One of the principles of Linked Data is interlinking resources from different data sources on the web. Data interlinking is a critical and challenging problem that every Linked Data generation applications face. Various approaches have been evolved for resolving this problem, but, for more massive datasets, it becomes almost indefinite time while linking similar or related resources. Linking RDF resources is like the problem of entity matching, record matching or duplicate resource detection. More or less they attempt to point to the same problem, but the RDF link generation is the task of finding related resources on the web. In this article, we present an approach for generating RDF links using the similarity measure between two RDF resources and by exploring associated relationships of the matched resources. The idea is to find related resources and link them with an RDF resource that is being generated.

Semantics-Preserving RDB2RDF Data Transformation Using Hierarchical Direct Mapping

“…It uses RDB instances and schemas as inputs and automatically generates RDF semantic data. In the field of RDF data creation, some methods used to transform various types of data (e.g., heterogeneous data [33], object-oriented data [34], and the Web of Data [35]) to RDF data have been devised. The current paper, however, mainly focuses on direct mapping to manage large-scale data on the web.…”