propose a new data integration architecture, PAYGO, which is inspired by the concept of dataspaces and emphasizes pay-as-you-go data management as means for achieving web-scale data integration. 1.

to the mediated schema. Many application contexts involving multiple data sources (e.g., the web, personal information management, enterprise intranets) do not require full integration in order to provide useful services, motivating a pay-as-you-go approach to integration. With that approach, a system starts

: it does not require any investments in semantic integration before querying services on the data are provided. Rather, a dataspace can be gradually enhanced over time by defining relationships among the data. Defining those integration semantics gradually is termed pay-as-you-go information integration

. Recall that we construct the network centrality measures from syndication data for the five years before a fund is created. The fact that these data can help explain fund performance over the next ten years suggests that networking 23 One obvious concern is that our network centrality measures merely

pay-as-you-go fashion on results from the map-pings. Such feedback can be used to inform the selection and refinement of mappings, thus improving the quality of the integration and reducing the need for expensive and po-tentially scarce expert staff. In this paper, we investigate the use

Recently, the opportunity of extracting structured data from the Web has been identified by a number of research projects. One such example is that millions of relational-style HTML tables can be extracted from the Web. Traditional data integration approaches do not scale over such corpora

karlsruhe.de The Web as a global information space is developing from a Web of documents to a Web of data. This development opens new ways for addressing complex information needs. Search is no longer lim-ited to matching keywords against documents, but instead complex information needs can

of LD stand to benefit from a pay-as-you-go approach to data integration. Specifically, the paper: (i) identifies a collection of opportunities for applying pay-as-you-go techniques to LD; (ii) describes some preliminary experiences applying a pay-as-you-go data integration system to LD; and (iii

integration methods, so a pay-as-you-go approach is more appropriate. A pay-as-you-go approach entails using a fully automatic approximate data integration technique to provide an initial data integration system (i.e., an initial mediated schema, and initial mappings from source schemas to the mediated schema

using algorithms and heuristics. However, automatically generated mappings typically provide partial and/or incorrect results. Users can help to improve such mappings; expert users can act on the mappings directly using data integration tools, and end users or crowds can provide feedback in a pay-as-you-go