A semantic approach for transforming XML data to RDF triples

Abstract

We propose here a novel approach for extracting hidden semantic from semi-structured data resources and transformed to RDF triples, to be queried through semantic query languages. Unlike existing approaches that only explore the structure or use ontologies, we present a system that allows us to utilize all available information. Our approach constructs a semantically related data from XML represented in RDF via "semantic network" described here. These data could be queried by SPARQL/XQUERY or both simultaneously in multimodal way to perform a semantic search on a set of multimedia news resources.

Research on Construction of RDF with HBase

“…Implicit reference relationships in the data are mapped to RDF by parsing user-defined implicit reference relationship documents. Meanwhile, our approach only traverses the HBase data source once to resolve the semantic relationships of HBase data, while the paper [10] traverses the data source twice to resolve the schema information and data information of the HBase data source. Therefore, our method not only retains more database information for constructing RDF compared with another method, but also has advantages in construction efficiency.…”

“…With XSPARQL, people can query both XML and RDF and then implement data conversions between the two formats. The authors of [10] suggest using keywords or graphical queries to convert XML into RDF. In [11], the authors suggest a declarative method based on Scala programming language for converting XML to RDF.…”