摘要翻译：
Internet和专家系统为知识的共享和分布提供了新的途径，但目前对基于web的专家系统的研究还很少。本文介绍了一个基于Web的沙特阿拉伯王国公务员制度专家系统RCSES的开发过程。这是首次开发这样的系统（公务员事务规例的应用），也是首次使用基于网络的方法开发该系统。建议的制度考虑了公务员制度的17条规例。介绍了RCSES系统开发的各个阶段，即知识的获取与选择、本体和知识的XML表示。利用ASP.NET技术实现了基于XML规则的知识源和推理机制。建立了一个交互工具，用于进入本体和知识库，并进行推理。它提供了以一种简单的方式使用、修改、更新和扩展现有知识库的能力。这些知识由公务员条例领域的专家验证，并由不同的技术用户和开发商工作人员测试、验证和验证拟议的RCSES。将RCSES系统与其他相关的基于web的专家系统进行了比较，证明了RCSES系统的优良性、可用性和高性能。
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英文标题：
《Web-Based Expert System for Civil Service Regulations: RCSES》
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作者：
Mofreh Hogo, Khaled Fouad, Fouad Mousa
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最新提交年份：
2010
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  Internet and expert systems have offered new ways of sharing and distributing knowledge, but there is a lack of researches in the area of web based expert systems. This paper introduces a development of a web-based expert system for the regulations of civil service in the Kingdom of Saudi Arabia named as RCSES. It is the first time to develop such system (application of civil service regulations) as well the development of it using web based approach. The proposed system considers 17 regulations of the civil service system. The different phases of developing the RCSES system are presented, as knowledge acquiring and selection, ontology and knowledge representations using XML format. XML Rule-based knowledge sources and the inference mechanisms were implemented using ASP.net technique. An interactive tool for entering the ontology and knowledge base, and the inferencing was built. It gives the ability to use, modify, update, and extend the existing knowledge base in an easy way. The knowledge was validated by experts in the domain of civil service regulations, and the proposed RCSES was tested, verified, and validated by different technical users and the developers staff. The RCSES system is compared with other related web based expert systems, that comparison proved the goodness, usability, and high performance of RCSES.
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PDF链接：
https://arxiv.org/pdf/1001.1836