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UnSAID: Uncertainty and Structure in the Access to Intensional Data

To answer user queries on Web data, it is necessary to crawl, extract, enrich, and process available information. The traditional extensional approach is to perform those steps one after the other, but it has many drawbacks. The choice of information that we retrieve and process must be guided by the query, because retrieving all the information is not feasible; the information cannot be maintained locally because it may become obsolete rapidly; it cannot be trusted blindly, as it may come from untrustworthy sources; it must be stored in a way which accounts for its heterogeneous structure (Web pages, relational facts, textual content, etc.). In this paper, we present UnSAID, our vision of a framework which addresses simultaneously the three main challenges faced by the extensional approach: intensionality, the need to access data selectively and take into account the cost of individual accesses; uncertainty, the need to reason on partial and inexact views of the world; and structure, the need to deal with data in various heterogeneous forms.