KEYWORD SEARCH-BASED DATA INTEGRATION BY NEW SOURCES

Now a days scientific data offers some of the most interesting challenges in data integration. Scientific field evolve rapidly and accumulate masses of observational and experimental data that needs to be annotated, revised interlinked and made available to other scientists. From the user point of view, this can be major headache as the data they seek may initially be spread across many databases in need of integration. The purpose of this paper is to present recent ideas for creating integrated views over data sources using keyword search techniques, ranked answers and user feedback to investigate how to automatically discover when a new data source has content relevant to a user's view – in essence, performing automatic data integration for incoming data sets.