An Approach for Automatically Generating R2RML-Based Direct Mapping from Relational Databases

• 作者: Guandong Xu Khaled M. Alalayah Mohamed A.G. Hazber Ruixuan Li
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: RELATIONAL DATABASE to RESOURCE DESCRIPTION FRAMEWORK (RDB2RDF) Direct Mapping R2RML RELATIONAL DATABASE RESOURCE DESCRIPTION FRAMEWORK (RDF)
• 年，卷（期）: 2016,（1）
• 页码范围: 41-44
• 页数: 4页
• 分类号: C5

摘要

For integrating relational databases (RDBs) into semantic web applications, the W3C RDB2RDF Working Group recommended two approaches, Direct Mapping (DM) and R2RML. The DM provides a set of mapping rules according to RDB schema, while the R2RML allows users to manually define mappings according to existing target ontology. The major problem to use R2RML is the effort for creating R2RML mapping documents manually. This may lead to appearance of many mistakes in the R2RML documents and requires domain experts. In this paper, we propose and implement an approach to generate an R2RML mapping documents automatically from RDB schema. The R2RML mapping reflects the behavior of the DM specification and allows any R2RML parser to generate a set of RDF triples from relational data.The input of generating approach is DBsInfo class that automatically generated from relational schema. An experimental prototype is developed and shows the effectiveness of our approach algorithms.