The GEISER platform is a highly scalable and flexible middleware covering the integration of multiple heterogeneous and geo-related (mass) data sources, mass preprocessing (including entity recognition, semantic filtering, and tagging) and delivery of relevant information to a broad spectrum of user applications and services.
The GEISER Platform
Sensors in cyber-physical systems produce terabytes of (potentially) industry-relevant data every day. Most of these data sets explicitly or implicitly relate to a location, time, and entity. GEISER has access to Europe’s most comprehensive directory of charging stations including all status updates, 6.5 million measurements from industrial printing machines, data from the mobile network of one large telecommunications provider, and to the information system of one of the largest navigation system providers worldwide. Additionally, GEISER connects to various open data, information and social media platforms. In a holistic view this data can tell us what happens in a certain area and timeframe with regards to a specific question. Many existing and novel services and applications can profit from such information. But the sources differ regarding formats, structure, content, type, and reference. The challenge is characterized by the 4 V’s typical for Big Data. A large volume of data, originating from various data sources have to be processed in high velocity whereby veracity, for example of social media content, cannot be guaranteed. This requires novel approaches for the development, transformation, hosting, integration, quality management, processing, and provision of (geospatial) data-driven services and applications. GEISER’s main objective is the prototypical integration in one technical platform – the GEISER platform.
Innovation inside the GEISER Platform
The most significant technical innovation of the GEISER platform is the combination of (1) automated extraction of geospatial information based on a combination of machine learning and graph algorithms, (2) cloud-based storage and delivery facility for RDF-tagged geospatial data, (3) secure, highly flexible, and stable platform for adaptation and extension for geoservices based on a microservice architecture, (4) services for automated integration and fusion of geospatial data streams. The microservice architecture enables plug and use as well as horizontal upscaling.
Business Value of the GEISER Platform
The combined accessibility and linkage of various (geospatial) data sources enables a variety of data-driven products and services. The exemplary use cases will be demonstrated and evaluated in the GEISER project. The first use case targets a smart and infrastructure-independent assistant system to find free parking lots. The second use case creates an intelligent tour planning assistant for service teams in the printing industry. The third one addresses geomarketing and operational decision assistance in gastronomy, crafts, and local commerce.