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Based On The Concept Of Intelligent Information Network Services

Posted on:2005-05-05Degree:MasterType:Thesis
Country:ChinaCandidate:L CengFull Text:PDF
GTID:2208360125457177Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
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.
Keywords/Search Tags:Conceptual Network, Personalization, Information Service, Concept Matching, Document Classification
PDF Full Text Request
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