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Other literature type . 2023
License: CC BY
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Presentation . 2023
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2023
License: CC BY
Data sources: Datacite
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Discovering Relations in Knowledge Graphs Using the Sampo Model

Authors: Rantala, Heikki;

Discovering Relations in Knowledge Graphs Using the Sampo Model

Abstract

Knowledge graphs represent both explicit and implicit relations between things like persons and places. While the number of potential relations is essentially unlimited, most of such connections are fundamentally uninteresting. For example, two things might both be instances of owl:Thing class, which is a connection, but not an interesting one. Potentially interesting relations can be predefined, and then mined from the knowledge graph using SPARQL CONSTRUCT queries. These relations can be represented as instances and explored using faceted search. While this makes it possible to search connections between two individuals, it also makes it possible to find relations between larger groups such as connections between persons of a certain profession and places within a certain country.

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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