Probabilistic Data Integration Systems
نویسندگان
چکیده
Current data integration techniques are successful at managing well-defined and wellunderstood data integration tasks, but do not cope well with uncertainty. However, the amount of uncertain data is growing with the number and variety of data sources being integrated, both in traditional data integration tasks s.a. enterprise data integration, and in next generation integration problems, s.a. combining structured data with information extracted automatically from text. We argue that uncertainty in data integration is best coped with by using a probabilistic data model, and propose here probabilistic data integration systems, PDIS. Our justification comes from the fact that probabilities can be used to model a rich variety of imprecisions arising in information integration. For example:
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