论文标题
通过本体交易对基于大数据的大型系统进行建模
Modeling Big Data-based Systems through Ontological Trading
论文作者
论文摘要
社会所面临的信息之一是处理互联网上每天生成和处理的大量信息之一。如今，大数据提案的进展试图解决这个问题，但是由于大量批量处理了信息的异质性及其在多种来源之间的分散，因此信息搜索和检索有一定的局限性。在本文中，定义了一个正式的框架，以促进环境管理信息系统的设计和开发，该系统可与多种数据一起使用。但是，该框架可以应用于与大数据一起使用的其他信息系统，因为它不取决于数据的类型，并且可以在其他域中使用。该框架基于本体论网络交易模型（Ontotrader），该模型遵循模型驱动的工程和本体驱动的工程指南，以将系统体系结构与其实现分开。该提案伴随着一个案例研究，Soleres-KRS，即使用软件代理和多代理系统设计和开发的环境知识表示系统。
One of the great challenges the information society faces is dealing with the huge amount of information generated and handled daily on the Internet. Today, progress in Big data proposals attempts to solve this problem, but there are certain limitations to information search and retrieval due basically to the large volumes handled the heterogeneity of the information, and its dispersion among a multitude of sources. In this article, a formal framework is defined to facilitate the design and development of an environmental management information system, which works with a heterogeneous and large amount of data. Nevertheless, this framework can be applied to other information systems that work with Big data, because it does not depend on the type of data and can be utilized in other domains. The framework is based on an ontological web-trading model (OntoTrader), which follows model-driven engineering and ontology-driven engineering guidelines to separate the system architecture from its implementation. The proposal is accompanied by a case study, SOLERES-KRS, an environmental knowledge representation system designed and developed using software agents and multi-agent systems.
