Implementations have been driven by the overall aim of developing methods that support typical tasks in temporal Web analytics, such as:
- fine-grained hierarchical type classification,
- knowledge linking onto online statistics,
- n-gram statistics,
- entity exploration and browsing,
- trend analysis.
This software complements the initially released Web Analytics Technology V1. In combination, the software constitutes the analytics part of LAWA’s Virtual Web Observatory. Backed by requirements monitoring within LAWA’s target user community, we believe that the developed software will make temporal Web analytics better understandable and explainable. To this end, all modules incorporate state-of-the-art information extraction technologies for Web content analytics. The software is available for download in our Software section.