论文标题
弥合行业和语义网络之间的技术差距：从RDF生成数据库和服务器代码
Bridging the Technology Gap Between Industry and Semantic Web: Generating Databases and Server Code From RDF
论文作者
论文摘要
尽管语义网络领域取得了长足的进步，但行业很少采用语义网络技术及其存储和查询概念。相反，关系数据库（RDB）通常被部署到存储关键数据数据，这些数据可通过REST接口访问。但是，某些企业将大大受益于与语义Web相关的数据集，这些数据集通常用资源描述框架（RDF）表示。为了弥合这一技术差距，我们提出了一种全自动方法，该方法生成具有REST API的合适的RDB模型以访问它们。在我们的评估中，检查并比较了来自不同RDF数据集的生成数据库。我们的发现表明，数据库充分反映了它们的对应物，而API能够复制相当简单的SPARQL查询。例如，确定了改进的潜力，例如减少生成数据库中的数据冗余。
Despite great advances in the area of Semantic Web, industry rather seldom adopts Semantic Web technologies and their storage and query concepts. Instead, relational databases (RDB) are often deployed to store business-critical data, which are accessed via REST interfaces. Yet, some enterprises would greatly benefit from Semantic Web related datasets which are usually represented with the Resource Description Framework (RDF). To bridge this technology gap, we propose a fully automatic approach that generates suitable RDB models with REST APIs to access them. In our evaluation, generated databases from different RDF datasets are examined and compared. Our findings show that the databases sufficiently reflect their counterparts while the API is able to reproduce rather simple SPARQL queries. Potentials for improvements are identified, for example, the reduction of data redundancies in generated databases.
