DocumentCode
2120179
Title
An R2RML-based Mapping System from Metal Materials Database to Ontology
Author
Chao Dong ; Xiaoming Zhang ; Wanzhen Zhou
Author_Institution
Sch. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol. Shijiazhuang, Shijiazhuang, China
fYear
2013
fDate
3-4 Oct. 2013
Firstpage
186
Lastpage
189
Abstract
Semantic Web and ontology play an important role in various research fields today, but are rarely used in the materials science domain. In this paper we propose an approach to find a mapping method from metal materials database to an ontology. The proposed method refers to the latest W3C standard DM and R2RML. The goal of the mapping system is to transform Relational Database (RDB) to the Resource Description Framework (RDF). R2RML mapping documents (TTL files) are used to record and organize mapping results manually selected by users. An algorithm which simulates the R2RML processor is designed to process the TTL files so as to finally generate RDF. An experimental prototype is developed to implement the algorithm and demonstrate our approach.
Keywords
database management systems; materials science computing; ontologies (artificial intelligence); semantic Web; R2RML; R2RML-based mapping system; W3C standard DM; materials science domain; metal materials database; ontology; resource description framework; semantic Web; Databases; Materials; Metals; Ontologies; Resource description framework; Standards; R2RML; RDB2RDF; Semantic Web; metal materials; ontology mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grids (SKG), 2013 Ninth International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/SKG.2013.37
Filename
6816603
Link To Document