We describe our method for benchmarking Semantic Web knowledge base systems with
respect to use in large OWL applications. We present the Lehigh University Benchmark …

Advances in sensor data collection technology, such as pervasive and embedded devices,
and RFID Technology have lead to a large number of smart devices which are connected to …

Despite the intense interest towards realizing the Semantic Web vision, most existing RDF
data management schemes are constrained in terms of efficiency and scalability. Still, the …

知识图谱是人工智能的重要基石. 各领域大规模知识图谱的构建和发布对知识图谱数据管理提出
了新的挑战. 以数据模型的结构和操作要素为主线, 对目前的知识图谱数据管理理论, 方法 …

Aiming to build a complete benchmark for better evaluation of existing ontology systems, we
extend the well-known Lehigh University Benchmark in terms of inference and scalability …

Two main data models are currently used for representing knowledge and information in
computer systems. Database models, especially relational databases, have been the leader …

Abstract The Semantic Web is well recognized as an effective infrastructure to enhance
visibility of knowledge on the Web. The core of the Semantic Web is “ontology”, which is …

Most existing RDF stores, which serve as metadata repositories on the Semantic Web, use
an RDBMS as a backend to manage RDF data. This motivates us to study the problem of …

In this paper, we present an evaluation of four knowledge base systems (KBS) with respect
to use in large OWL applications. To our knowledge, no experiment has been done with the …

The Resource Description Framework (RDF) and SPARQL query language are gaining
wide popularity and acceptance. In this paper, we present DREAM, a distributed and …