The amount and diversity of information is growing exponentially, mainly in the area of unstructured data, like office documents, emails, images, audio & video files, blogs etc. Poor data accessibility, user rights integration and the lack of semantic metadata are constraining factors for building next generation enterprise search and other document centric applications.
SMILA (SeMantic Information Logistics Architecture) is an extensible framework for building information management solutions to access unstructured information in the enterprise. Besides providing essential infrastructure components and services, SMILA also delivers ready-to-use add-on components, like connectors to most relevant data sources and some data processing services. Using the framework as basis will enable developers to concentrate on the creation of higher value solutions, like search or semantic driven applications etc.
Apart from giving the short introduction to the project, the focus of this talk will be the demonstration of several example use cases which can be realized with SMILA.