Information Integration

Part of the Data-Centric Systems and Applications book series (DCSA)


In Chap. 9, we studied data extraction from Web pages. The extracted data is put in tables. For an application, it is, however, often not sufficient to extract data from only a single site. Instead, data from a large number of sites are gathered in order to provide value-added services. In such cases, extraction is only part of the story. The other part is the integration of the extracted data to produce a consistent and coherent database because different sites typically use different data formats. Intuitively, integration means to match columns in different data tables that contain the same type of information (e.g., product names) and to match values that are semantically identical but represented differently in different Web sites (e.g., “Coke” and “Coca Cola”). Unfortunately, limited integration research has been done so far in this specific context. Much of the Web information integration research has been focused on the integration of Web query interfaces. This chapter will have several sections on their integration. However, many ideas developed are also applicable to the integration of the extracted data because the problems are similar.


Information Integration Global Schema Schema Match Schema Element Query Interface 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 2007

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