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Sacramento, Eveline Russo; Casanova, Marco Antonio (Advisor). An Approach for Dealing with Inconsistencies in Data Mashups. Rio de Janeiro, 2015. 100p. D.Sc. Thesis Departamento de Informática, Pontifícia Universidade Católica do Rio de Janeiro. With the amount of data available on the Web, consumers can “mashup” and quickly integrate data from different sources belonging to the same application domain. However, data mashups constructed from independent and heterogeneous data sources may contain inconsistencies and, therefore, puzzle the user when observing the data. This thesis addresses the problem of creating a consistent data mashup from mutually inconsistent data sources. Specifically, it deals with the problem of testing, when data to be combined is inconsistent with respect to a predefined set of constraints. The main contributions of this thesis are: (1) the formalization of the notion of consistent data mashups by treating the data returned from the data sources as a default theory and considering a consistent data mashup as an extension of this theory; (2) a model checker for a family of Description Logics, which analyzes and separates consistent from inconsistent data and also tests the consistency and completeness of the obtained data mashups; (3) a heuristic procedure for computing such consistent data mashups.

AN APPROACH FOR DEALING WITH INCONSISTENCIES IN DATA MASHUPS