Titlebook: Scalable Uncertainty Management; First International Henri Prade,V. S. Subrahmanian Conference proceedings 2007 Springer-Verlag Berlin Hei

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Managing Uncertainty in Schema Matcher Ensembles,heuristics to choose from, several tools have enabled the use of schema matcher ensembles, combining principles by which different schema matchers judge the similarity between concepts. In this work, we investigate means of estimating the uncertainty involved in schema matching and harnessing it to

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The Consistency Extractor System: Querying Inconsistent Databases Using Answer Set Programs, integrity constraints. Among other features, .  implements a . technique to evaluate queries via disjunctive logic programs with stable model semantics that specify the repair of the original database. We describe the methodology and the system; and also present some experimental results.

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Quality Measures in Uncertain Data Management,healthcare applications. Instead of these applications having to deal with the uncertainty, it should be the responsibility of the DBMS to manage all data including uncertain data. Several projects do research on this topic. In this paper, we introduce four measures to be used to assess and compare

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Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying,s have different fuzzy scoring function – a user preference model. Main goal of this paper is to assign a user a preference model automatically. To achieve this we decompose user’s fuzzy ranking function to ordering of particular attributes and to a combination function. To solve the problem of auto

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Tractable Probabilistic Description Logic Programs, under the answer set semantics, and probabilities. In particular, we introduce the . for probabilistic dl-programs. Contrary to the previous answer set and well-founded semantics, it is defined for all probabilistic dl-programs and all probabilistic queries. Furthermore, tight (resp., tight literal

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Valued Hesitation in Intervals Comparison,ed by interval of values there is a zone of hesitation between strict difference and strict similarity which could be modelled through valued relations. The paper presents suitable definitions of such valued relations fulfilling a number of interesting properties. The use of such a tool in data anal

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