The Analytics Workench is a tool for performing different kinds of analyses. It combines a web-based frontend for designing analysis workflows with server-side computation of the designed analysis processes. The workflows are represented using a visual language.
The workbench was designed as an extensible analysis framework. Extensibility includes both the possibility to connect different frontends to the computational backend as well as the possibility to extend the available analysis features. As the workbench is still in development, new analysis features are added regularly.
The version offered here is a demo version, which is restricted to a selection of analysis features from the field of Social Network Analysis. Please be aware that the version offered here is not intended for productive use. Thus created analysis workflows and results may be deleted from time to time without further warning!
As a result of the project, the following two tools have been developed:
SiSOB workbench: This is an analysis tool that has been designed as a knowledge worker’s workbench. Its user interface allows the user to combine different components for data conversion, analysis and visual representation. More information.
Download source code
Download user manual
Access workbench
SiSOB data extractor: This system can be used for information crawling and extraction. It can be feed with either bibliographic data sources, such as Scopus or Web of Knowledge, or crawling information directly from the web through search engines. Its main goal is to extract curricular items from a set of researchers from their full names and expertise area. More information.
Download source code
Access data extractor
SISOB Data Exchange Format:
Download API
SISOB Visualization Tool:
Download visualization tool
The project LeMo (monitoring of learning processes on personalizing and non-personalizing learning management systems) aims to develop a prototype of a web based Learning Analytics application, which provides detailed information on user navigational patterns within learning management systems and identifies needs for enhancement and revision of the learning offer. Target groups are content-provider, teacher and researcher. The prototype will support personalizing learning management systems that require a login for access as well as online encyclopedias that are non-personalizing, where neither login nor registration is needed to access content. In this project three Berlin universities cooperate with four partners in the elearning sector.