
In this paper we demonstrate KnowDS, a system that extends Data Spaces with semantic search capabilities. We show how KnowDS can leverage the minimal descriptive metadata of the data assets in a Data Space to construct a relevance graph, and how it uses Steiner trees to find relevant items that do not contain any of the query terms. We describe the KnowDS system in detail, and present a running example that showcases its functionality.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
