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Study on Reasoning of Stockcomment Information and Its System Architecture Based on Semantic

Author: XiaoJianLi
Tutor: SongHuaZhu
School: Wuhan University of Technology
Course: Computer Science and Technology
Keywords: The Quamnet information system Semantic Web Information entropy Entropy Weight Maximum Entropy
CLC: TP391.1
Type: Master's thesis
Year: 2011
Downloads: 20
Quote: 0
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Abstract


Investors own shares held judgment based on a lot of from the Internet, but because of the the network huge amount of information, information not appropriate semantic support, making it difficult for them to take full advantage of the online stock analysts. Through semantic analysis at home and abroad on the basis of the Semantic Web, information on stock analysts reasoning, forecasting the first two days of price trends, and the based stock analysts information system architecture, the main work is as follows: First, determine the of stock analysts information with stock analysts pretreatment. The concept of information by stock analysts, stock analysts information into the broader market stock analysts, plate stock analysts and individual stocks, stock analysts into three categories, and analysis of the structure of the information of stock analysts; Comment information into a variety of keywords, the establishment of a system of predictive features thesaurus. Match the information extracted from the online stock analysts and thesaurus, stored in the corresponding database. Which data cleaning method based on the ETL process, pretreatment stock analysts in the source database, the source database data extraction, data conversion to the desired data format, and credited to the corresponding table. Then, the reasoning principles and methods of information of stock analysts. Possible results (up, down, open) for the Quamnet information (that is, the broader stock analysts, plate stock analysts and individual stocks, stock analysts) to establish the sample space, building a mathematical model. (1) the initial weights set according to the importance of the three types of stock analysts in the stock trend forecast, three entropy space (stock stock analysts, the broader stock analysts, corresponding to the industry sector stock analysts) to calculate the entropy of the three space value; the weights to be modified by the entropy value. (2) the introduction of the theory of entropy weight to the model, stock analysts evaluate Fan array based on entropy weight, the resulting entropy weights to modify the weights. (3) introduced the theory of maximum entropy constraint constructed through subjective constraints and objective constraints objective function, and ultimately build a mathematical model to solve the weight values ??of various evaluation. Finally, the the stock analysts information systems architecture. The architecture Comment information systems into URI layer, XML / XML Schema layer, Ontology (RDF) layer and Agent layer; XML format designed to exchange of information between the various layers of the system, combined with XML and XML Schema describes the user system interaction; build all kinds of body system, given the description of the body; describes the working mechanism of the body between the Agent, the interaction between the body and the Agent instance; from the Web service interaction mechanism describes the design of the connector assembly, and is given the task list the entire process of the system components. On this basis, through an example to verify the feasibility of the reasoning of the stock analysts information obtained in this framework.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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