Semantic Smartness
Current IT systems provide possibilities to process data, but they lack of unified understanding of syntax and semantics. Exchanging annotations between systems, and to implement applications that utilize these features in a way that is helpful to end users would ease work and can be achieved with semantic (micro) services orchestrated on a smart platform.
Smart Data Management
The Structure of Information The cost of digital storage is decreasing over the past years and led to an explosion in the volume of unstructured content. The significant increase in volume has serious consequences by reducing productivity: It is more and more difficult to find essential information among the growing volume. Surveys among organizations showed […]
The Power of AI
Easy ways to work with data like humans do Creating AI supported solutions needs efficient data management, which is object oriented and elastic to give smart algorithms the capability to remember more than simply data but the context and meaningful relations as well. This leads to rich semantics, allowing categorizing and connecting data-objects, to keep […]
AL!SE: in brief
The main modules of AL!SE AL!SE consists of 4 main modules: Aglaia, Hephaistos, Peripatos and Leto. When we start from the top Aglaia is the interface manager. With all her grace (after all she is one of the three Graces) she communicates between the AL!SE components and the outside world with JSON and SXML-RPC. Hephaistos, […]
About AL!SE
AL!SE: the overall goal “The overall goal of semantic data models is to capture more meaning of data by integrating relational concepts with more powerful abstraction concepts known from the Artificial Intelligence field. The idea is to provide high level modeling primitives as an integral part of a data model in order to facilitate the […]