用RDF对系统的结构和过程建模
Using RDF to Model the Structure and Process of Systems
摘要：
许多系统可以用离散元素的网络及其相互之间的各种关系来描述。语义网络或多关系网络是一个有向标记图，由一组异构的实体组成，这些实体通过一组异构的关系连接起来。语义网络作为一个有前途的通用复杂系统的建模基板。现在有各种标准化的格式和工具可用于支持实用的大规模语义网络模型。首先，资源描述框架（RDF）提供了一个标准化的语义网络数据模型，可以进一步形式化的本体建模语言，如RDF模式（RDFS）和Web本体语言（OWL）。其次，最近引入的高性能的三重存储（即语义网络数据库）允许语义网络模型的顺序$10^9$边缘有效地存储和操纵。RDF及其相关技术目前广泛应用于计算机科学、数字图书馆科学和生物科学领域。本文将介绍RDF/RDFS/OWL，并研究其对离散元素复杂系统建模的适用性。
英文摘要：
Many systems can be described in terms of networks of discrete elements and their various relationships to one another. A semantic network, or multi-relational network, is a directed labeled graph consisting of a heterogeneous set of entities connected by a heterogeneous set of relationships. Semantic networks serve as a promising general-purpose modeling substrate for complex systems. Various standardized formats and tools are now available to support practical, large-scale semantic network models. First, the Resource Description Framework (RDF) offers a standardized semantic network data model that can be further formalized by ontology modeling languages such as RDF Schema (RDFS) and the Web Ontology Language (OWL). Second, the recent introduction of highly performant triple-stores (i.e. semantic network databases) allows semantic network models on the order of $10^9$ edges to be efficiently stored and manipulated. RDF and its related technologies are currently used extensively in the domains of computer science, digital library science, and the biological sciences. This article will provide an introduction to RDF/RDFS/OWL and an examination of its suitability to model discrete element complex systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
