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作者机构:Czech Tech Univ Fac Elect Engn Dept Cybernet Tech 2 Prague 16627 6 Czech Republic
出 版 物:《SEMANTIC WEB》 (Semantic Web)
年 卷 期:2020年第11卷第3期
页 面:483-524页
核心收录:
基 金:Grant Agency of the Czech Republic [GA 16-09713S] Czech Technical University in Prague [SGS16/229/OHK3/3T/13]
主 题:Object-triple mapping object-ontological mapping object-oriented programming RDF benchmark
摘 要:Domain-independent information systems like ontology editors provide only limited usability for non-experts when domain-specific linked data need to be created. On the contrary, domain-specific applications require adequate architecture for data authoring and validation, typically using the object-oriented paradigm. So far, several software libraries mapping the RDF model (representing linked data) to the object model have been introduced in the literature. In this paper, we develop a novel framework for comparison of object-triple mapping solutions in terms of features and performance. For feature comparison, we designed a set of qualitative criteria reflecting object-oriented application developer s needs. For the performance comparison, we introduce a benchmark based on a real-world information system that we implemented using one of the compared object-triple mapping (OTM) solutions - JOPA. We present a detailed evaluation of a selected set of OTM libraries, showing how they differ in terms of features. We further narrow down the set of selected OTM libraries to contain only RDF4J-compatible ones and use the benchmark to measure their time and memory efficiency.