A semantic approach for transforming XML data to RDF triples

Author

Kharrat, Mohamed ; Jedidi, Anis ; Gargouri, Faiez

Author_Institution

Multimedia, Inf. Syst. & Adv. Comput., Univ. of SFAX, Sfax, Tunisia

fYear

2015

fDate

June 28 2015-July 1 2015

Firstpage

285

Lastpage

290

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.

Keywords

XML; ontologies (artificial intelligence); query processing; RDF triples; SPARQL; XML data transformation; XQUERY; extensible markup language; multimedia news resources; ontologies; resource description framework; semantic approach; semantic network; semistructured data resources; Context; Data mining; Iris; Resource description framework; Semantics; Uncertainty; XML; news; querying; rdf; transformation; xml;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on

Conference_Location

Las Vegas, NV

Type

conf

DOI

10.1109/ICIS.2015.7166607

Filename

7166607