Personal Document Management and Retrieval: A Knowledge-Based Approach

This paper presents a knowledge-based approach to managing and retrieving personal documents. The dual document models consist of a document type hierarchy and a folder organization. The document type hierarchy is used to capture the layout, logical and conceptual structures of documents. The folder organization mimics the user's real-world document filing system for organizing and storing documents in an office environment. Predicate-based representation of documents is formalized for specifying knowledge about documents. Document filing and retrieval are predicate-driven. The filing criteria for the folders, which are specified in terms of predicates, govern the grouping of frame instances, regardless of their document types. We incorporated the notions of document type hierarchy and folder organization into the multilevel architecture of document storage. This architecture supports various text-based information retrieval techniques and content-based multimedia information retrieval techniques. The paper also proposes a knowledge-based query-preprocessing algorithm, which reduces the search space. For automating the document filing and retrieval, a predicate evaluation engine with a knowledge base is proposed. The learning agent is responsible for acquiring the knowledge needed by the evaluation engine.     

基于事件框架的事件相关文档的智能检索研究

在事件相关文档的检索中,事件主题的迁移和分化与相似事件的干扰是影响系统性能的两个主要因素。本文提出了一种基于事件框架知识和事件主体信息的检索方法。该方法对事件相关评价函数进行了的改进:首先,从事件语料中提炼出事件的框架知识、从事件文档中挖掘出表达事件主体的信息,然后将这些知识和信息进行向量化,最后利用向量化的结果对相关度评价函数进行优化。实验结果表明该方法是有效的,明显提高了事件相关文档的检索性能。     

大型整流装置专家系统的设计与实现

针对整流装置不同故障数据的特点,采用框架和规则混合知识表达方式设计专家系统,并结合C++语言和关系数据库实现了专家系统外壳;该系统具有框架式知识库对整流装置部件故障的离线诊断、规则式知识库对整流装置实时测点数据的在线维护两大功能;系统被用于某食盐水电解大型整流电源上,获得良好的应用效果。     

基于知识工程的船体焊接工艺研究

船舶制造过程中船体焊接领域工艺知识缺乏有效的归纳与整理,导致其重用性和 共享性差。针对上述问题,基于知识工程技术,研究了船体焊接工艺领域知识的获取、分类、 表示及推理应用的方法,并开发了工艺知识库系统,有效实现了知识的共享与重用。首先提出 了船体焊接工艺知识获取途径及分类模式;其次以此为基础,将基于本体的知识表示方法的研 究成果应用于船体焊接工艺,建立领域本体;然后提出焊接工艺推理模式,以国家标准、行业 标准等规范性文件和专业书籍、专家意见等指导性文件为基础构建工艺规则库,设计模糊规则 推理系统;最终设计开发面向船体焊接工艺的知识库系统,规范化实现知识获取、知识表示、 知识推理及知识管理功能,为船体焊接领域相关工作人员提供知识共享及重用的支撑平台,为 船舶制造其他领域中知识工程技术的利用提供参考。     

A Knowledge-Based Approach to Effective Document Retrieval

This paper presents a knowledge-based approach to effective document retrieval. This approach is based on a dual document model that consists of a document type hierarchy and a folder organization. A predicate-based document query language is proposed to enable users to precisely and accurately specify the search criteria and their knowledge about the documents to be retrieved. A guided search tool is developed as an intelligent natural language oriented user interface to assist users formulating queries. Supported by an intelligent question generator, an inference engine, a question base, and a predicate-based query composer, the guided search collects the most important information known to the user to retrieve the documents that satisfy users' particular interests. A knowledge-based query processing and search engine is devised as the core component in this approach. Algorithms are developed for the search engine to effectively and efficiently retrieve the documents that match the query.     

用范畴论和SHOIQ(D)DL形式化上下文

为了解决在动态环境下不断进化的本体知识库和资源整合所带来的上下文环境问题,作者从范畴论的角度在一种描述逻辑SHOIQ（D）内提出了一个基于上下文的Context-SHOIQ（D）形式系统,文章对其语法、语义,以及有关推理和知识表示的若干元语言进行了论述,最后讨论了该形式系统实现异构信息集成的方法.     

Preservation-awareness in collaborative engineering

In design and engineering, it is important to preserve more than the actual documents making up the product data. For knowledge-intensive industries it is of critical importance to also preserve the soft knowledge of the overall process within the product life cycle. The idea is not only to preserve the designs for the future, but also the knowledge about processes, decision making, and people. In order to preserve this knowledge, it is necessary to captured it at content creation time, a process currently mostly independent from the preservation process. This paper discusses how to make applications in content creation (e.g., in design and engineering) preservation-aware by using the OpenConjurer approach and framework.     

面向多媒体文档的多通道检索系统

提出和实现了一个面向多媒体文档的多通道(对应多种模态,如文本、图像、视频等)检索系统.系统定义了一个新的用来描述多媒体文档内容的框架,该框架不但提取出多媒体文档在各通道下的基于内容的底层特征,而且还记录下多媒体文档中不同多媒体对象间的链接关系.同时,提出一种基于图模型的交叉参照知识库,用来存储从链接关系中挖掘出的多媒体对象间的语义关系,通过一个有效的语义上下文分析算法,在检索过程中计算每个对象与查询的语义相似度.语义上下文分析算法不仅使得基于内容的多媒体信息检索中考虑了多媒体对象的语义信息,同时支持用户通过通道切换的方式进行相关反馈,提供了一种较为灵活的查询模式.实验表明在交叉参照知识库基础上,该系统还能够有效地提高基于内容的多媒体对象的检索性能(如内容覆盖率等).     

基于概念基元的句群情景框架抽取研究

句群的构成要素是领域、情景和背景,领域是核心.领域关联的情景框架主要依据领域句类知识库的描述,从句群语句的语义块中抽取.本文介绍了在语言概念空间中对句群情景框架的概念符号描述,通过匹配整合句群情景框架中语义块的概念约束和句类分析结果中的语义块,给出了从自然语言空间的句群中抽取情景框架要素的方法,并根据实验结果总结了句群情景框架抽取中需要加强和完善的地方.     

基于重心向量分类算法的概念特征提取方法

提出了一种基于文档集最心向量分类思想的概念特征提取方法。该方法从文档集中提取表述概念特征的向量,挖掘概念特征深层次的差异,表达文档中蕴含的抽象概念,为基于领域知识库的概念网构建提供良好的先决条件。     

综合决策支持系统框架的研究

文中在对现有的几种决策支持系统框架结构进行分析研究的基础上,将数据仓库(DW)、数据挖掘(DM)、联机分析处理(OLAP)、数据库(DB)、模型库(MB)和知识库(KB)集成,引入了综合决策支持系统(SDSS)框架的概念。文中详细阐述了该框架各组成部分的功能及相互关系,总结了此种框架的基本特征及开发实现的关键技术。     

Automatic ontology-based knowledge extraction from Web documents

To bring the Semantic Web to life and provide advanced knowledge services, we need efficient ways to access and extract knowledge from Web documents. Although Web page annotations could facilitate such knowledge gathering, annotations are rare and will probably never be rich or detailed enough to cover all the knowledge these documents contain. Manual annotation is impractical and unscalable, and automatic annotation tools remain largely undeveloped. Specialized knowledge services therefore require tools that can search and extract specific knowledge directly from unstructured text on the Web, guided by an ontology that details what type of knowledge to harvest. An ontology uses concepts and relations to classify domain knowledge. Other researchers have used ontologies to support knowledge extraction, but few have explored their full potential in this domain. The paper considers the Artequakt project which links a knowledge extraction tool with an ontology to achieve continuous knowledge support and guide information extraction. The extraction tool searches online documents and extracts knowledge that matches the given classification structure. It provides this knowledge in a machine-readable format that will be automatically maintained in a knowledge base (KB). Knowledge extraction is further enhanced using a lexicon-based term expansion mechanism that provides extended ontology terminology.     

Querying Documents using Content, Structure and Properties

Much information is nowadays stored electronically in document bases. Users retrieve information from these document bases by browsing and querying. While a large number of tools are available nowadays, not much work has been done on tools that support queries involving all the characteristics of documents as well as the use of domain knowledge during the search for information. In this paper we propose a query language that allows for querying documents using content information, information about the logical structure of the documents as well as information about properties of the documents. Domain knowledge is taken into account during the search as well. We also present an architecture for a system supporting such a language and we describe a prototype implementation together with test results.     

一个面向样本利用的智能系统的实现

本文实现了一个面向样本利用的智能系统ＩＳＳＵ,它能够完成样本的输入,具有样本学习的能力,并且能将样本知识自动转化为产生式规则,将产生式规则自动转化为框架知识,在此基础上还实现了一个基于框架的推理机。对ＩＳＳＵ的系统结构和实现技术进行了论述,并介绍了一个应用系统。     

A predicate-driven document filing system

This paper presents a predicate-driven document filing system for organizing and automatically filing documents. A document model consists of two basic elements: frame templates representing document classes, and folders which are repositories of frame instances. The frame templates can be organized to form a document type hierarchy, which helps classify and file documents. Frame instances are grouped into a folder on the basis of user-defined criteria, specified as predicates which determine whether a frame instance belongs to a folder. Folders can naturally organized into a folder organization which represents the user's real world document filing system. The predicate consistency problem is discussed to eliminate two abnormalities from a folder organization: inapplicable edges (filing paths) and redundant folders. An evaluating net (including an association dictionary, an instantiation component and a production system) is then proposed for evaluating whether a frame instance satisfies the predicate of a folder during document filing. And the concept of consistency a rule base is also discussed.This work was supported by the Separately Budgeted Research (SBR) grant (No. 421190) from New Jersey Institute of Technology and the Systems Integration Program grant from AT&T Foundation     

Checking the consistency of a hybrid knowledge base system

This paper concerns a method to verify the consistency of a hybrid knowledge base system. We assume the knowledge base of the verified system supports the representation of production rules and frame taxonomies. Moreover, the knowledge base can also be used to represent non-monotonic and uncertain reasoning. For the purpose of the verification, an ATMS like theory is created by simulating the deductive process needed to deduce an inconsistency. Next, the ATMS like theory is processed to compute a specification of the initial fact base that allows for the execution of a deductive tree that leads to the inconsistency.     

自动答疑系统知识库文本的索引研究

该文从传统的基于FAQ库自动答疑系统的知识库存储及检索方式的不足出发,提出了知识库文档预处理及建立倒排索引结构的方法。对倒排索引文档进行重组及性能进行优化,初始化了文档的权重,提高了文档内容的检索速度。     

A Model of Collaborating Agents for Content-Based Electronic Document Filtering

The huge volume of distributed information that is nowadays available in electronic multimedia documents forces a lot of people to consume a significant percentage of their time looking for documents that contain information useful to them. The filtering of electronic documents seems hard to automate, partly because of document heterogeneity, but mainly because it is difficult to train computers to have an understanding of the contents of these documents and make decisions based on user-subjective criteria. In this paper, we suggest a model for the automation of content-based electronic document filtering, supporting multimedia documents in a wide variety of forms. The model is based on multi-agent technology and utilizes an adaptive knowledge base organized as a set of logical rules. Implementations of the model using the client-server architecture should be able to efficiently access documents distributed over an intranet or the Internet.     

基于故障树的故障诊断IDSS的设计

将智能决策支持技术引入故障诊断,给出系统的总体设计,并详细阐述基于故障树的知识库和推理机的设计。采用面向对象基于框架、规则、元知识集成的广义故障树知识表示方法,同时给出了基于故障树最小割集和最小路集的故障快速推理算法,实现了故障的迅速诊断。     

A Semantic-based Intellectual Property Management System (SIPMS) for supporting patent analysis

Patent databases provide valuable information for technology management. However, the rapid growth of patent documents, the lengthy text and the rich of content in technical terminology, and the complicated relationships among the patents, make it taking a lot of human effort for conducting analyses. As a result, an automated system for assisting the inventors in patent analysis as well as providing support in technological innovation is in great demand. In this paper, a Semantic-based Intellectual Property Management System (SIPMS) has been developed for supporting the management of intellectual properties (IP). It incorporates semantic analysis and text mining techniques for processing and analyzing the patent documents. The method differentiates itself from the traditional technological management tools in its knowledge base. Instead of eliciting knowledge from domain experts, the proposed method adopts global patent databases as sources of knowledge. The system enables users to search for existing patent documents or relevant IP documents which are related to a potential new invention and to support invention by providing the relationships and patterns among a group of IP documents. The method has been evaluated by benchmarking with the performance against traditional text mining technique and has successfully been implemented at a selected reference site.