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Web Resources Quality metadata acquisition and management technology research and implementation

Author: LiuLi
Tutor: ZhuZuo
School: Southwest Jiaotong University
Course: Applied Computer Technology
Keywords: DC Specification Quality metadata model (WebQM) Quality metadata harvesting Quality metadata management and analysis
CLC: TP311.13
Type: Master's thesis
Year: 2010
Downloads: 22
Quote: 1
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Abstract


With the rapid development of Internet , information resources on the Internet increasingly rich , Web data exist in many forms , there is no specific description of the model , there is a self-describing data itself and dynamic variability of the resources from the complicated high-quality the information is a huge challenge. In recent years , scholars in the Web Source Quality Assessment technology research has made great progress , made ??a series of quality evaluation index system . However, in the classical method, the evaluation based on quality indicators of Web Quality qualitative subjectivity high , likely to cause deviation evaluation , reducing the accuracy of the quality evaluation results . In order to objectively and accurately obtain Web resource quality status , we study the quality of the metadata from the perspective of the quality of a Web resource evaluation method . This article Web Resources / Information Quality Evaluation Model WebQM model understood as the quality of a Web resource metadata model , using Dublin Core metadata set specification (Dublin Core Element Set, abbreviated DC) as a Web resource metadata design standards , to extend the DC element . Meanwhile, the research quality of a Web resource metadata quantitative methods of analysis of the data extraction technology, the use of regular expressions based data extraction techniques to obtain quality metadata. In the data warehouse design process, through the analysis of various Web resources, quality evaluation and quality of the relationship between the dimension of the fact table and dimension tables for the design, build star model , to build a Web resource quality primary metadata repository . The ultimate goal of this paper is to build a Web resource quality meta-data warehouse , data warehouse on the basis of the quality of a Web resource metadata management and analysis . This paper studies the non- factual analysis of the fact table in a data warehouse based on statistical calculations and other data analysis operation , analyzes and compares the quality of Web resources . Experimental results show that this thesis on the quality of a Web resource metadata management and analysis can help a comprehensive analysis of the quality of a Web resource that can quickly and easily determine the quality of a Web resource trends and quality is good or bad , to achieve the core objectives of this article .

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