This is an umbrella repository which provides an overview of open source projects initiated, developed and maintained by the Institut für Angewandte Informatik (InfAI).
Agile Knowldge Engineering and Semantic Web research network (AKSW) is a scientific network, distributed over various universities and scientific institutes (including InfAI), whose members are involved in various national and international research and software projects. Technologies from the field of semantic web and linked data are primarily developed and evaluated. The following repository/organisation contains publicly available project artifacts for which AKSW is directly responsible.
| Repository/Organisation | Description |
|---|---|
| AKSW | GitHub Organization of AKSW. |
Website: https://aksw.org
The DE4L project is pursuing the development of an intelligent ecosystem as part of a platform for data exchange for logistics service companies. This is to avoid high congestion on delivery vehicles, costs due to incorrect delivery and repeated delivery and pickup attempts. The so-called “last mile” of the supply chain, meaning the exact delivery and collection of parcels at the front door, offers a great deal of potential for increasing efficiency. With the platform DE4L strengthens the cooperation of the service companies and promotes the digitization of information.
| Repository | Description |
|---|---|
| DE4L | GitHub Organization of the DE4L project. |
| DE4L Sensing App | App for connecting environmental Bluetooth sensors to Android smartphones and transmitting measurements in real-time to the DE4L-Platform. |
Website: https://de4l.io/
Acknowledgement: The project is funded by the German Federal Ministry for Economic Affairs and Energy (01MD19008A).
Project Duration: August 2019 to July 2022
IRPsim is an infrastructure for the computation of different models in the energy domain. Currently, it consists of the web-based IRPsim infrastructure and the main models IRPopt and IRPact. The IRPsim-infrastructure enables the management of input and output data in a structured database, parallelized model execution and automatic model linkage. IRPopt (Integrated Resource Planning and Optimization) is an integrated energy system optimization model. It integrates the techno-economic system aspects by simultaneously taking the roles of different actors into account. IRPact models the adoption behaviour of various heterogeneous stakeholder groups. The socio-economic entities and dynamics are based on an agent-based modelling framework and the adoption processes are empirically grounded.
| Repository | Description |
|---|---|
| IRPsim Organization | GitHub Organization of the IRPsim project. |
Website: https://irpsim.uni-leipzig.de/
SENERGY is a smart service platform which enables the automated integration, (pre-)processing and analysis of sensor data. It also supports business process automation by leveraging IoT technologies and advanced data analytics, such as machine learning algorithms. The platform has been designed for cross-sectoral application possibilities (e.g. energy management, health, security, convenience and entertainment) in many different IoT scenarios.
| Repository | Description |
|---|---|
| SENERGY-Platform | GitHub Organization of the SENERGY project. |
Website: https://senergy.infai.org
Acknowledgement: The project was funded by the European Regional Development Fund (ERDF) and the Free State of Saxony.
SEPL is a cloud-based energy data platform which connects to different data sources, such as IoT devices, is capable of processing mass amounts of data and enables the development of digital value-added services for the energy industry based on energy production and consumption data. Furthermore, it supports the energy-efficient and automated control of machines and consumer appliances.
| Repository | Description |
|---|---|
| SmartEnergyPlatform | GitHub Organization of the SEPL project. |
Website: https://sepl.infai.org
Acknowledgement: The project was funded by the European Regional Development Fund (ERDF) and the Free State of Saxony.
Associates of the InfAI are invited to contribute to this repository. Please use the provided structure if you want to add new projects.