Download Advances In Scalable Web Information Integration And by Yoshifumi Masunaga, Xiaofeng Meng, Guoren Wang, Seog Park PDF

By Yoshifumi Masunaga, Xiaofeng Meng, Guoren Wang, Seog Park

The publication covers the hot advances in internet applied sciences and purposes akin to net info administration, internet info integration, internet companies, net facts warehousing and internet information mining, which speedily replaced our existence in a number of methods.

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A. Musen, “Creating Semantic Web Contents with Protege-2000,” IEEE Intelligent Systems, Vol. 16, Issue 2, pp. 60–71, 1997. 5. G. Salton, M. McGill, “Introduction to Modern Information Retrieval,” McGraw-Hill Book Company, 1984. 46 AN EFFECTIVE TOP-K DATA SOURCES RANKING APPROACH ON DEEP WEB* LI MEIFANG, WANG GUANGQI, SHEN DERONG, NIE TIEZHENG, ZHU HONGKAI and YU GE Dept. of Computer Sci. , Northeastern University, Shenyang, 110004, China Query on deep web has been gaining great importance due to the large amount of deep web data sources.

After counting the appearances, we defined several categories as shown in Fig. 2, where some categories are defined as sub-categories. A class, which can be categorized to a sub-category, would not be categorized into its super-category to remove the effect of correlation among categories. By using such data sources, we implemented our proposed categorization method and got the categories of classes and categories of Web resources. 2% of Web resources are categorized. The rate of categorized classes is low in this experiment due to the following two reasons.

Then, precision is the ratio of the common resources to the relevant resources, and recall is the ratio of the common resources to the IR results. |C| , (8) P recision = |B| Recall = |C| . |A| (9) An important fact is that increasing precision will often cause decreasing recall. In our approach (CSWS), the goal of the search is to answer user’s inexplicit queries with the results having high relations that are either defined in the ontologies or discovered in an analysis process. Therefore, increasing recall should come before that of precision.

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