基于概念网的智能信息服务

【作者】 曾亮；

【导师】 罗三定；

【作者基本信息】 中南大学 ， 计算机应用技术， 2004， 硕士

【摘要】 随着人类社会步入信息社会，人类面临“信息爆炸”、“混沌信息空间”和“数据过剩”带来的巨大压力。人们迫切需要一种智能代理完成多种耗时、复杂的工作。针对上述问题，本课题旨在设计一个基于概念网络的智能信息服务器，帮助用户有效的收集、检索和管理信息，为用户提供高效的信息服务。 本课题采用概念网络作为其后台知识库。概念网络是一个描述客观事物及其内在联系的一个信息模型。该模型以一个对象的观点来认识概念的内涵，把概念看成是一个具有属性、行为、概念描述、概念词的复杂对象体。概念与概念之间再通过关联关系构成一个复杂的概念网络。通过这个网络，知识之间便构建了一种“联想的脉络，推理的依据”。 本文详细地讨论智能信息服务器的整体构建策略。系统依靠后台的概念网络，处理信息的收集和检索请求。对用户收集的文档采用概念分词算法、概念特征和角色提取算法，将文档进行自动分类和关联，从而有效、合理的组织文档。在接收到用户的查询请求时，系统通过对用户查询意图的理解，过滤与用户查询意图不相关的文档，从而有效提高查询精度。为了提高检索的精度和效率，系统采用交互式的检索模式，逐步聚焦检索目标。 本文还针对本题中概念网络匹配、个性化服务和Web服务三个关键技术做了重点讨论。给出了一套概念网的概念运算方法，通过运用这些概念运算方法完成各种概念匹配任务。具体讨论了用户个性模式的创建、表示和学习算法，辅助本系统支持个性化服务。对当前热门的Web服务技术从它的整体服务体系结构开始，到它的开发周期以及应用程序和服务、服务与服务间的消息传递机制做了详细的阐述。 最后，本文分别从用户接口层、业务对象层和数据层介绍系统的具体实现。给出了实验结果证明本文的观点，并对今后的工作提出新的要求。更多还原

【Abstract】 When human society has come into an information age, people faced great stress brought by "Information Explosion", "Information Chaotic Space" and "Data Glut". People need an intelligent agent to assist them to complete all kinds of time-consuming and complex tasks. Our topic is aimed to design an intelligent information server based on conceptual network, which possesses information collection, retrieval and management functions, and provides high effective information services.To achieve intelligent information service, a powerful repository is necessary. In our paper, we selected conceptual network as the domain model to construct knowledge. Conceptual network is used to describe the objective things and their relations. This model describes concept as a complex object with attribute, behavior, description, and concept synonymies. We construct a conceptual network by describing the structural and semantic relationships among concepts. Using this network we get " a grain of association of thought and a reliance of reasoning " among all the knowledge units.Our paper discusses construction strategy about intelligent information server in detail. The system processes information collecting and retrieving requests relying on conceptual network. We use word segmentation algorithm, conceptual features and role extraction algorithm to accomplish document auto-classification and co-relation, and then consequently attain to effective and reasonable organizing documents. When system received users’ retrieving request, it could understand user’s intention, filtrate irrelevant documents, and then fulfill user’s needs. In order to enhance retrieval’s precision and efficiency, system adopted mutual search patterns to precise field of retrieval step by step.The paper also emphasizes on discussing three key techniques: concept matching, personalized service and Web services. We give a setof concept operations, and we use them to accomplish various concept-matching tasks. Concretely, we use user’s profile to enable our system to support personalized services. Also we discuss its construction, representation and learning algorithm. Nowadays Web services is fashionable development technique. We explain its whole architecture, development lifecycle and messaging mechanism.At last, this paper introduces the system’s implementation with user interface layer, business layer and data layer separately. It gives the experiment result to testify our paper’s viewpoints, and also brings forward the new research work in future.更多还原