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Article . 2025
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Article . 2025
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Semantically-Enabled Data Spaces for Intelligent Data Asset Discovery

Authors: Nakos, Harry; Dalamagas, Theodore; Sartzetakis, Stelios; Kapetanas, Nikos; Pla Karidi, Danae; Stavrakas, Yannis;

Semantically-Enabled Data Spaces for Intelligent Data Asset Discovery

Abstract

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.

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    popularity
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    influence
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green