Combining Semantic Information and Information Quality on the Enrichment of Web Data Integration Systems

The emergence of the Web and its permanent growth has caused a big impact on the database research community. Thereby, Database research areas have evolved in order to consider the new problems arising from the need of managing the huge volume of data available on the Web. One of such areas is Data Integration (DI), which is considered a pervasive challenge faced by applications that need to query across multiple autonomous and heterogeneous data sources. To help matters, we argue that semantic information like ontological and contextual information, combined with Information Quality (IQ) provided by IQ measures, may be employed together in order to enrich processes in DI (e.g., schema matching and query answering). In this paper, we present our ideas regarding what we mean by semantic information and IQ and why and how they may be combined in order to produce semantic knowledge to be used in Web Data Integration Systems. Furthermore, we propose a preliminary version of a metamodel, which presents a formal description of relationships between concepts associated with semantic information and IQ.

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