面向企业信息基础设施集成的商务智能系统框架

商务智能系统是多种技术的综合体，提出了面向企业信息基础设施集成的闭环商务智能系统框架，商务智能系统的生命周期和信息、知识在其中的作用。以及通过现有的企业信息基础设施构建商务智能系统，通过商务智能系统达到持续优化的方法，使用包含企业本体论、商务过程模型、元数据仓库的企业元模型和两级映射模式对集成过程中的语义一致性进行控制。     

面向农业领域的智能系统技术体系架构及其实现

阐述作者及团队对农业智能系统的技术体系架构取得的研究成果,包括运用专家系统、知识表示、推理机制、知识获取、开发平台,智能计算、机器学习、数据挖掘、本体论、人工生命等关键技术,探索在作物施肥、病虫害诊治、栽培管理,园艺以及畜禽水产养殖等方面,应用于决策支持、控制、预测、检索、仿真等,反映了智能信息技术面向农业领域,具有广阔的应用前景。     

基于描述逻辑的面向管理决策的异构知识的表示

构筑面向管理决策的智能系统中常存在知识库结构的复杂度和系统效率的平衡问题，为此用描述性逻辑表示面向管理决策的3类4种异构知识．由于描述性逻辑结合了谓词逻辑和面向对泉的知识表示，通过基于描述性逻辑的异构知识的统一表示，降低广义知识库的结构复杂性，并基于描述性逻辑的知识表示系统具有有效的推理能力，保证一定的系统效率．这项研究对于对面向管理决策智能系统的知识库构筑具有一定的理论借鉴作用和实际应用价值．     

关于知识表示的讨论

知识表示是人工智能（ＡＩ）研究中基本问题之一,对ＡＩ来说,知识表示的研究分成两个层次：（２）知识表示方法的研究,（２）表示观的研究,首先,本文在总结各种表示方法的基础上,提出了一种“知识表示体系树”,以观察ＡＩ研究的发展趋势,其次,文中收集了目前ＡＩ学界对这个问题讨论了各种主张,并将其归纳为评论论、本体论及知识工程等三类对表示的观点;最后,还讨论了ＡＩ一些研究分支与表示的关系。     

知识表示方法比较

阐述知识表示的概念,介绍各种知识表示方法.通过讨沦知识表示的执行层、逻辑层、表示应用层三个层面,构建比较和评估各种知识表示方法在智能系统中的指标框架,并且进行简单的比较.最后,通过比较认为该框架可以指导我们选择合适的知识表示方法解决实际问题.     

PageRank技术在智能系统中的应用

知识获取是智能系统发展的关键技术.本文分析了PageRank技术特点,采用PageRank技术解决智能系统中知识获取的效率问题,把改进了的PageRank技术应用于智能系统中,并构建一个简易的问答系统来验证PageRank技术的作用.     

Software Agent间的知识级通信

提供了一种综合了概念表示语言（ＣＲＬＥ）,共享本体论、消息表示语言（ＭＲＬ）和通信促进器的共享信息和知识的高层模型,以实现Ｓｏｆｔｗａｒｅ Ａｇｅｎｔ间的知识级通信。     

自然语言处理中逻辑词的知识图分析

知识图是一种新的知识表示方法。本文从本体论的角度出发,将知识图的本体论分别与Aristotle、Kant和Peirce的三种知识表示的本体论进行了比较,表明知识图方法的有效性以及本原性,说明知识图是一种更为一般的知识表示方法。从知识图本体论的观点,研究了各类逻辑词的知识图表示。本文结合汉语的特点,从结构的角度,研究并揭示了逻辑词的共性和规律性。进一步阐明知识图“结构就是含义”的思想。逻辑词的知识图分析将为自然语言分析中词典的建立奠定基础。     

一种广义综合知识表示方法及其应用

知识发现技术能发现数据中有用的模式和知识,但如何和专家系统有效集成仍然尚未得到解决.本文从知识表示的角度探讨二者集成,提出一种面向知识发现的广义综合知识表示方法.该方法能有效表示包括关联、分类、序贯、神经网络、基于案例推理等在内的多种知识类型,同时该方法将知识发现方法表示在其内部,从而有利于自动知识获取的实现.在此基础上提出一种新型专家系统原型.该原型从语义、机制和接口三个层次集成知识发现技术,可以有效进行自动知识获取.     

可视化智能界面系统研究

可视化自适应人机交互界面的设计是智能系统能否成功实施与应用的关键之一，基于此提出了将Agent技术引入用户界面设计中。界面采用可视化的知识表示，知识库直观，知识获取直接面对领域专家，实现了知识自动获取；同时界面针对不同用户群设计了多种界面变体，从而增强了系统的灵活性和对用户的适应性；建立了智能引导和帮助，集成了语音合成技术，实现了界面系统的“声形”并茂，降低和减少了用户使用系统的要求与学习时间，使系统更易学易用。     

基于知识的电子商务智能推荐系统平台设计

分析了传统推荐技术存在的不足,阐述了基于知识的推荐技术的特点及其发展。针对现有基于知识的电子商务推荐系统中存在的不足,提出了基于知识的电子商务智能推荐需要解决的基本问题,设计了基于知识的电子商务智能推荐平台的逻辑框架,并阐述了其工作原理。     

Integration and control of intelligence in distributed manufacturing

The area of intelligent systems has generated a considerable amount of interest—occasionally verging on controversy—within both the research community and the industrial sector. This paper aims to present a unified framework for integrating the methods and techniques related to intelligent systems in the context of design and control of modern manufacturing systems. Particular emphasis is placed on the methodologies relevant to distributed processing over the Internet. Following presentation of a spectrum of intelligent techniques, a framework for integrated analysis of these techniques at different levels in the context of intelligent manufacturing systems is discussed. Integration of methods of artificial intelligence is investigated primarily along two dimensions: the manufacturing product life-cycle dimension, and the organizational complexity dimension. It is shown that at different stages of the product life-cycle, different intelligent and knowledge-oriented techniques are used, mainly because of the varied levels of complexity associated with those stages. Distribution of the system architecture or system control is the most important factor in terms of demanding the use of the most up-to-date distributed intelligence technologies. A tool set for web-enabled design of distributed intelligent systems is presented. Finally, the issue of intelligence control is addressed. It is argued that the dominant criterion according to which the level of intelligence is selected in technological tasks is the required precision of the resulting operation, related to the degree of generalization required by the particular task. The control of knowledge in higher-level tasks has to be executed with a strong involvement of the human component in the feedback loop. In order to facilitate the human intervention, there is a need for readily available, user-transparent computing and telecommunications infrastructure. In its final part, the paper discusses currently emerging ubiquitous systems, which combine this type of infrastructure with new intelligent control systems based on a multi-sensory perception of the state of the controlled process and its environment to give us tools to manage information in a way that would be most natural and easy for the human operator.     

Intelligent control of a rotary kiln fired with producer gas generated from biomass

During the past decade, the academic world has been extremely active in developing new algorithms and theories in the field of artificial intelligence (AI) and intelligent systems. In most cases, however, emphasis has been placed more on theoretical frameworks and mathematical bases than on what the individual AI techniques could offer and on how different techniques could be applied to solve real industrial-scale problems. The reputation of intelligent systems has consequently suffered from an inability to transfer new and sophisticated techniques to industrial applications with identifiable benefits. As a result, although a wide range of intelligent control techniques has been available already for many years, most of the applications in the process industry are based on more conventional techniques. Recently, as awareness of intelligent systems has grown, industrial problems and implementations have fortunately received increasing attention. In this paper, an intelligent supervisory-level system implemented at one of the major Finnish pulp mills to control a lime kiln fired with producer gas generated from biomass is presented. First, the major results of a field study are summarised, with special attention paid to burnt lime quality aspects. Next, a novel linguistic equations approach, which provides flexible methods for both modelling and control, is briefly described. The overall structure and main functions of the developed control system are then described with the main emphasis on the control of temperature and lime quality. Finally, the results obtained during the extended testing period of the system are presented and discussed.     

专家控制系统的知识库维护

专家系绕的知识获取和表示一向是专家系统开发的“瓶颈”,而知识库的维护在大型专家系统中所占的地位更是不可忽视,实时专家系统作为专家系统的一个颇有前景的研究方向,对知识库的维护又提出了哪些新的要求呢?本文试图通过减压精馏过程智能多变量控制系统(DIMCS)~*的知识库维护,探索实时专家系统中从知识表示、知识库组织到一致性维护等一系列技术的实现方式。     

冶金过程智能控制系统知识库开发的关键环节

论文以国内外冶金智能控制技术发展为背景,针对冶金过程控制的特点并结合知识工程理论对知识库和知识原型的规划,知识获取和集成的方法进行了研究。在此基础上总结了一套方案作为深入探讨这一领域中的问题的一种形式。     

The road to intelligence

It is argued that robotic platforms are the way forward towards building intelligent systems, where multiple sensors and manipulation are used for cognitive processes. It is also argued that the cue for developing the right architecture for such a system is human language.     

Parallel Dispatch:A New Paradigm of Electrical Power System Dispatch

Modern power systems are evolving into sociotechnical systems with massive complexity, whose real-time operation and dispatch go beyond human capability. Thus, the need for developing and applying new intelligent power system dispatch tools are of great practical significance. In this paper, we introduce the overall business model of power system dispatch, the top level design approach of an intelligent dispatch system, and the parallel intelligent technology with its dispatch applications. We expect that a new dispatch paradigm, namely the parallel dispatch, can be established by incorporating various intelligent technologies, especially the parallel intelligent technology, to enable secure operation of complex power grids, extend system operators' capabilities, suggest optimal dispatch strategies, and to provide decision-making recommendations according to power system operational goals.      

Knowledge reusability in diagnostic environments

ODS, object-based Diagnostic System, combines the features found in an object-oriented environment with an intelligent interrogator and can be used to build and execute diagnostic expert systems. ODS is designed to maximally reuse existing knowledge during the acquisition of new knowledge, as well as to reduce omissions and inconsistencies. It incorporates two techniques for making suggestion to the expert, one of which utilizes case-based reasoning.     

An integration methodology and architecture for intelligent systems in process control: The hint project

The lack of a common framework for the uniform application of the solution techniques when developing intelligent process control system, have given rise to the HINT project (Heterogeneous INTegration architecture for intelligent control systems) whose main objectives are the design and realization of a supporting software architecture and the development of a methodology that allows the integration and cooperation of different control techniques (mostly, Artificial Intelligence-related) within a consistent computational environment. The aim is to deal with the real problems encountered in in-place industrial process control.     

中文医学知识图谱CMeKG构建初探

医学知识图谱是智慧医疗应用的基石,可以为机器阅读理解医学文本、智能咨询、智能诊断提供知识基础。现有的医学知识图谱从规模化、规范化、体系性、形式化等方面还不足以满足智慧医疗应用的需求。此外,对复杂医学知识的精准描述更是构建医学知识图谱面临的重要挑战。针对上述问题,该文利用自然语言处理与文本挖掘技术,以人机结合的方式研发了中文医学知识图谱第一版CMeKG 1.0(Chinese Medical Knowledge Graph)。CMeKG 1.0的构建参考了ICD-10、ATC、MeSH等权威的国际医学标准术语集以及规模庞大、多源异构的临床路径指南、临床实践、医学百科等资源,覆盖了疾病、药物和诊疗技术,包括100余万个医学概念关系的实例。该文综述了CMeKG 1.0构建过程中的描述体系、关键技术、构建流程以及医学知识描述等相关问题,希望为医学领域知识图谱的构建与应用提供一些参考。