Intelligent handling of data by integration of commonsense reasoning

Any intelligent problem solving system should be able, given the known data on a case, to decide whether some item of information is true, false or unknown. In this paper the way in which various forms of commonsense reasoning can be integrated to provide such decisions is described. To this end three structural types of knowledge defined over data, and four strategies for exploiting these structures, are identified. ‘Decide-Status’ integrates the reasoning strategies into a task frame. This frame structure not only integrates the reasoning but also affords the appropriate facilities for providing strategic justifications for its conclusions, if required.     

A database for linguists: Intelligent querying and increase of data

What do database (DB) querying and information retrieval imply for linguistics? What are data for the linguist? How can one envisage efficient access to data? I propose that DB querying in language sciences be designed linguistically and directly determined by linguistic data. Linguists from various backgrounds could then use a consensual query tool. An implemented data-directed DB querying system, which was developed for research on French interrogative structures, is presented in detail.Rachel Panckhurst teaches and researches in computational linguistics at the Université Paul Valéry-Montpellier III, France. Her research interests include natural language processing and information retrieval systems. She is currently devising a computer-assisted classification system for verbal subcategorization in French. She received her PhD (doctorat nouveau régime) in computational linguistics in December 1990 (Université Clermont II). Recent works include: Scatlex: une aide informatisée pour la construction d'entrées lexicales verbales, ICO Québec: Hiver 1993, pp. 61–67; Comment allier les besoins du linguiste et l'utilisation intelligente de bases de données? CIL '92 Proceedings, Québec, September 1993, pp 301–304.This article is a revised and extended English version of a paper in French, Comment allier les besoins du linguiste et l'utilisation intelligente de bases de données, Proceedings of the XVth International Congress of Linguists, Québec, August 1992, pp. 301–304, and was written during a post-doctoral fellowship (AUPELF-UREF) at the Centre d'ATO-CI, (Recherche et développement en linguistique computationnelle (RDLC)), Université du Québec à Montréal. The paper is adapted from part of Chapter 4 of a doctoral dissertation, Panckhurst, 1990. Many thanks are due to Jean-Marie Marandin who first encouraged me to write the paper and who read and gave constructive criticism on a previous version. I would also like to thank Sophie David and Claude Ricciardi Rigault (French version) and Fay Panckhurst (English version) for their helpful remarks. Finally, an anonymous reviewer provided constructive criticism, for which I am grateful. Any remaining errors are of course my own.     

智能楼宇中MS SQL数据库研究及设计

智能楼宇系统是建筑系统与现代的计算机技术和信息技术相结合产生的。智能楼宇系统给日常生活和企业带来了便捷的管理方式。本文主要研究了智能楼宇系统中基于MS SQL数据库的信息系统的设计和实现。首先介绍了智能楼宇系统和MSSQL的一些知识,然后研究设计了数据库系统的实现和数据库的一些优化措施。     

基于Web的信息智能获取方法

The increasing stream of Web information available makes it ever more desirable of network users to retrieval interesting information efficiently.Obviously,AI can be made a good use in the information retrieval area.In this paper,the Intelligent Search Engine,Intelligent Browser,Intelligent Agent and Intelligent Information Push are introduced.Then the related key techniques are presented.At last,a framework of Intelligent Information Push System is discussed.     

国内三大期刊全文数据库信息检索之比较研究

论文介绍了国内三大期刊全文数据库：中国知网-中国期刊全文数据库、维普-中文科技期刊数据库、万方-学术期刊全文数据库的信息检索,对三大期刊全文数据库的信息检索从检索途径、检索功能、检索效果进行比较研究,分析其中的优劣,提出改进建议,以期提高信息检索的查全率和查准率,为用户的信息检索选择提供有效的参考。     

面向领域的个性化智能检索系统MySpy的研究与开发

针对互联网上的“Rich Data Poor Information”问题 ,进行了面向领域的个性化智能检索系统的开发与研究 .系统采用多 Agent技术实现对 web文档索引数据库管理 ;实现基于智能代理的信息过滤和个性化服务 ;利用辅助词典、同义词词典和蕴含词词典 ,对查询词进行概念扩检 ,使检索结果能返回与查询需求相似的文档 .     

An expert intermediary system for interactive document retrieval

Constructing natural language interfaces to computer systems often requires achievement of advanced reasoning and expert capabilities in addition to basic natural language understanding. In this paper the above issue is tackled in the frame of an actual application concerning the design of a natural language interface for interactive document retrieval. After a short discussion of the peculiarities of this application, which requires both natural language understanding and reasoning capabilities, the general architecture and fundamental design criteria of a system presently being developed at the University of Udine are presented. The system, named IR-NLI, is aimed at allowing non-technical users to directly access through natural language the services offered by online databases. Attention is later focused on the basic functions of IR-NLI, namely understanding, dialogue and reasoning. An example of interaction with IR-NLI is fully worked out to introduce the main features of the system. Knowledge representation methods and algorithms adopted are then illustrated. Perspectives and direction for future research are also discussed.     

Representation of highly-complex knowledge in a database

This paper presents a unified framework for representing highly-complex knowledge in a database as a new paradigm for handling large and complex information in an easy and efficient manner. The framework provides a database with the capabilities to support next generation databases for decision support systems through the use of derivation rules, temporal information, knowledge from multiple sources with different measures of quality and epistemic knowledge. The model integrates concepts from both thedatabase and theartificial intelligence disciplines.     

面向智能Agent的元搜索系统的设计与实现

近年来,智能Agent技术的研究成为热点,有许多智能Agent都包括一个元搜索系统来间接使用互联网上的搜索引擎搜索需要的信息。该文设计和实现了一种面向智能Agent的智能元搜索系统。讨论了该系统的系统结构和工作原理及实现方法,并经实验验证,该系统具有高可靠性、适应性强、易扩充、智能化程度高等特点。     

基于Hibernate搜索的数据库全文检索系统

现有关系数据库提供的全文检索服务对中文支持有限且难以检索二进制文本。针对该问题,在开源的数据库检索工具Hibernate搜索的基础上,提出一个对关系数据库内容进行全文检索的模型。该全文检索模型可支持关系对象映射、多种复合查询、中英文混合检索,并能检索以二进制格式存储在数据库中的多种类型的文本文件。     

人工智能在车辆自动驾驶中的应用

本文提出了一种新的基于人工智能的感知／计划／动作agent结构实现智能车辆自动驾驶的方案。首先通过描述该结构的原理说明该结构可以解决自动驾驶中存在的一些问题,接着通过建立自动驾驶知识库阐述如何具体实现自动驾驶,最后通过仿真实验验证了该方法能够为智能车辆实现自动或辅助驾驶提供一种非常有效的机制。     

浅析智能搜索引擎技术及发展

文章介绍了智能搜索引擎的特点,对智能搜索引擎中自然语言理解、智能搜索代理、多媒体信息检索等关键技术进行了详尽的分析,并展望智能搜索引擎未来的发展方向。     

Context-Aware Fuzzy Databases

The development of mechanisms to ease human machine interaction is an issue about which there is increasing interest within both the software world in general, and database systems in particular. A way to tackle this problem is to try to approach the natural way of user expression. The Fuzzy Sets Theory and its application to build Fuzzy Databases constitute a consolidated advance in the literature. Another way is to adapt the interaction of the system to the context where it is running. In this sense, this paper presents an approach to build a model of Fuzzy Databases that dynamically adapts to user context. In order to do this, we have studied the management of the context in Fuzzy Database applications and we propose an architecture for the development of intelligent, flexible and customized context-aware database systems. We also present a proof of concept implementation to be used with SQL:99 standard in Oracle ORDBMS. Finally, through a real application in the medical area, we demonstrate the feasibility of the proposal.     

基于网络的智能答疑系统的研究

基于常见问题答案库的答疑系统的基本设计方案是以固定问题答案对作为答案材料,该方案所提供的用户服务有限,限制了系统的答疑能力。本系统采用的基于网络的智能答疑系统是把蕴涵丰富学科知识的学科文档库作为部分知识库,与常见问题答案库相结合,采用布尔模型和向量空间模型相结合的检索模型实现在文档库中自动检索答案的策略。该系统里的知识得到了丰富,解答问题的面也扩大了,增强了系统的答疑能力和实用性。     

Intelligent Scheduling with GUESS (Generically Used Expert Scheduling System): Development and Testing Results

Scheduling is a prevalent function that is omnipresent throughout many industries and applications (Pinedo, 1995; Morton & Pentico, 1993; Zweben & Fox, 1994; Brown & Scherer, 1995). A great need exists for developing scheduling toolkits that can be generically applied to a number of different scheduling problems. To meet this need, more research is warranted for developing a state-of-the-art generic constraint problem-solver as related to scheduling. This paper discusses the development and testing of the Generically Used Expert Scheduling System (GUESS).     

基于智能Agent的Web信息检索系统

设计和实现了一个基于智能Agent的面向领域的Web信息检索系统,讨论了该系统的体系结构和各模块设计思想。经实验验证,该系统具有检索精度商、检索方式多样、用户界面友好等特点。     

面向领域主题的智能搜索引擎设计

本文将概念检索扩展到面向领域主题检索的范畴,提出了面向领域主题的智能检索模型。给出了概念语义网络和面向领域主题的形式化描述,利用概念语义网络实现领域主题的同义词及其语义蕴含扩展,并实现一个基于建筑业的面向领域主题的智能搜索引擎。     

E-textbook全文检索

基于电子教材的特殊应用的需求,在传统的web页面全文检索技术基础上,设计了电子教材的全文检索系统。它包含教材文档处理模块、索引服务模块和检索服务模块。根据电子教材的结构需求,定义了索引文件数据结构、文本文件数据结构、索引条目数据结构及结果排序的分数模型。通过系统的实现,为电子教材学习者提供了快速准确的检索服务,提高学习者学习效率。     

Integrated Video and Text for Content-based Access to Video Databases

This paper introduces a new approach to realize video databases. The approach consists of a VideoText data model based on free text annotations associated with logical video segments and a corresponding query language. Traditional database techniques are inadequate for exploiting queries on unstructured data such as video, supporting temporal queries, and ranking query results according to their relevance to the query. In this paper, we propose to use information retrieval techniques to provide such features and to extend the query language to accommodate interval queries that are particularly suited to video data. Algorithms are provided to show how user queries are evaluated. Finally, a generic and modular video database architecture which is based on VideoText data model is described.     

A Knowledge Engineering Framework for Intelligent Retrieval of Legal Case Studies

Juris-Data is one of the largest case-study base in France. The case studies are indexed by legal classification elaborated by the Juris-Data Group. Knowledge engineering was used to design an intelligent interface for information retrieval based on this classification. The aim of the system is to help users find the case-study which is the most relevant to their own.The approach is potentially very useful, but for standardising it for other legal document bases it is necessary to extract a legal classification of the primary documents. Thus, a methodology for the construction of these classifications was designed together with a framework for index construction. The project led to the implementation of a Legal Case Studies Engineering Framework based on the accumulated experimentation and the methodologies designed. It consists of a set of computerised tools which support the life-cycle of the legal document from their processing by legal experts to their consultation by clients.