Article details

Research area
Natural language & AI

Location
First International Workshop on Contextualized Knowledge Graphs at ISWC 2018, Asilomar, California

Date
2018

Author(s)
Peter Patel-Schneider

Contextualization via Qualifiers

Synopsis:

A common method for contextualizing facts in knowledge graph formalisms is
by adding property-value pairs, qualifiers, to the facts in the knowledge
graph. Qualifiers work well for information that is additional to the base
fact but pose an unwarranted burden on consumers of the information in
knowledge graphs when the qualifier instead contextualizes the base fact, as
in limiting the applicability of the fact to some time period or providing a
confidence level for the fact. Contextualization should instead by done in
a more principled manner and accompanied by tools that lessen the burden on
consumers of knowledge graphs.

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