On-demand and lightweight knowledge graph generation - a demonstration with DBpedia

Brockmeier, Malte ; Liu, Yawen ; Pateer, Sunita ; Hertling, Sven ; Paulheim, Heiko

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URL: https://madoc.bib.uni-mannheim.de/60875
Additional URL: http://ceur-ws.org/Vol-2941/paper2.pdf
URN: urn:nbn:de:bsz:180-madoc-608751
Document Type: Conference or workshop publication
Year of publication: 2021
Book title: Joint proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins co-located with Semantics 2021, Amsterdam and Online, September 6-9, 2021
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 2941
Page range: 1-5
Conference title: Semantics 2021
Location of the conference venue: Amsterdam, The Netherlands
Date of the conference: 06.-09.09.2021
Publisher: Tiddi, Ilaria ; Maleshkova, Maria ; Pellegrini, Tassilo ; Boer, Victor de
Place of publication: Aachen, Germany
Publishing house: RWTH Aachen
ISSN: 1613-0073
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Data Science (Paulheim 2018-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
Keywords (English): knowledge graph , on demand , live , lightweight , knowledge graph as a service , DBpedia
Abstract: Abstract. Modern large-scale knowledge graphs, such as DBpedia, are datasets which require large computational resources to serve and process. Moreover, they often have longer release cycles, which leads to outdated information in those graphs. In this paper, we present DBpedia on Demand – a system which serves DBpedia resources on demand without the need to materialize and store the entire graph, and which even provides limited querying functionality.
Additional information: Online-Ressource

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