Ontologies for Knowledge Graphs?

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandEingeladenBegutachtung

Beitragende

Abstract

Modern knowledge representation (KR), and description logics (DL) in
particular, promises many advantages for information management, based on an
unambiguous, implementation-independent semantics for which a range of rea-
soning services is available. These strengths align well with the needs of an ever
growing information industry. Today, giants like Google, Facebook, and Wikime-
dia consciously deploy ontological models, and store information in graph-like
data structures that are more similar to DL ABoxes than to traditional relational
databases. Many smaller organisations follow, and “knowledge graphs” appear
in numerous places. Clearly, logic-based KR can make significant contributions
to this development, yet there is often very little adoption in typical knowledge
graph applications. Focusing on Wikidata as a particular use case, this invited
contribution asks which technical issues might limit the impact of symbolic KR
in this area, and summarises some recent developments towards addressing them in various logics.

Details

OriginalspracheEnglisch
TitelProceedings of the 30th International Workshop on Description Logics (DL 2017)
Redakteure/-innenAlessandro Artale, Birte Glimm, Roman Kontchakov
Seitenumfang12
PublikationsstatusVeröffentlicht - 2017
Peer-Review-StatusJa

Publikationsreihe

ReiheCEUR Workshop Proceedings
Band1879
ISSN1613-0073