Using Methods of Parallel Semi-structured Data Processing for Semantic Web

Abstract

The state of the art in semi-structured data processing (and XML in particular) and Semantic Web repositories correspond to each other: the non-scalability of pilot implementations, the inability of optimizations, and the cost of the fully native implementation. Although there are successful implementations in each of the approaches, none of the methods may be considered universal. The Bobox framework proposed in this paper is a relational-like storage engine applicable both as a native XML database and as a Semantic Web repository. The main purpose of the engine is in experiments in both areas. The main stress is put to the performance of complex queries and transformations, and to the ability of parallel evaluation in particular.