Exploiting Semantics for Big Data Integration

There is a great deal of interest in big data, focusing mostly on data set size. The use of semantics in this integration descriptions and then integrating the data within process is key to building an approach that scales this unified framework. Finally, we conclude by to large numbers of heterogeneous sources. For example, in and (4) integrate the data across sources using this our museum use case, we received data in spreadsheets model. Karma has been used on a variety of types of (figure 1), comma-separated values (CSV), data, including biological data, mobile phone data, JSON (figure 3), XML, and relational databases (figure geospatial data, and cultural heritage data. In order to illustrate the approach to integrating One challenge in integrating diverse data sources is data in Karma, we will use an example from the cultural the ability to import different data formats into a heritage domain.