TPDL 2020 – Context-Compatible Information Fusion for Scientific Knowledge Graphs
Currently, a trend to augment document collections with entity-centric knowledge provided by knowledge graphs is clearly visible, especially in scientific digital libraries. Entity facts are either manually curated, or for higher scalability automatically harvested from large volumes of text documents. However, even if the extraction process would be 100% correct, the promise of pervasive information fusion within retrieval tasks poses serious threats with respect to the results’ validity.
In this context, our colleague Hermann Kroll from the Institute for Information Systems presented his current research activities at the 24th International Conference on Theory and Practice of Digital Libraries (TPDL). This took place virtually from August 25th to 27th. The presentation “Context-Compatible Information Fusion for Scientific Knowledge Graphs” is available as a video for interested parties.
