Abstract:

The outbreak of emergent events is always accompanied with a large number of relevant information. Big data of emergent events not only enriches the type and scale of emergency information, but also hinders the information utilization of emergency decisionmaking. Fusing emergency information oriented to the information needs throughout the decisionmaking process is an effective approach to enhance the decisionmaking support of big data. This study aims to build an emergency big data integration framework and explore the detailed information fusion methods. First of all, we develop information demands both from information contents and characteristic according to the decisionmaking process of emergent events. Then, identifying the objectives and problems of information fusion with a comparison between information needs of emergent event decisionmaking and the available emergency information in big data environment. Accordingly, a serviceoriented framework of information fusion for emergent event decisionmaking has been developed with a consideration of data models as the bridge. Finally, specific issues and realizing paths of information fusion have been put forward according to the three layers of emergency information fusion, which include data layer, semantic layer and serviceoriented layer. The research findings will help construct emergency integration system of big data, and yield practical implications to decisionoriented information analytics.

Keywords: Big data, Emergent event decision-making process, Emergency information needs, Fine-grained information fusion, Semantic fusion