aDApTA: Adaptive approach to information integration in dynamic environments

• A data integration approach to support decision making in complex environment.
• A solution for adaptive data integration based on structural and semantic conflicts resolution.
• A study on how Web standards and Web of Data can support adaptive information base.
• Analysis of how integration of heterogeneous data can be supported by graph data representations.
• A resource interlinking approach supported by semantic level identification.

In complex environments, decision making process faces several challenges due to the dynamic of unpredicted events. There is a highly dynamic flow of information in a situation where most of the relevant data is heterogeneous, cannot be predicted and loaded previously. Even though many efforts have been made in data integration research, choosing the appropriate approach to an unknown (in advance) semantic level of information is still an open issue. The traditional relational data integration methods are not suitable to support complex environments due to the rigidity of their schema. As an alternative, Graph Data models can handle structural heterogeneity complemented by semantic representations like Linked Open Data on the Web. Based on these alternatives, this research proposes aDApTA, an adaptive approach to information integration and its associated architecture. An application example in a real scenario is presented. In this scenario, the logistics of relief goods are managed by a dynamic and multi-perspective view.