Quotation Bonatti, Piero Andrea, Decker, Stefan, Polleres, Axel, Presutti, Valentina. 2019. Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web (Dagstuhl Seminar 18371). Dagstuhl Reports. 8 (9), 29-111.




The increasingly pervasive nature of the Web, expanding to devices and things in everydaylife, along with new trends in Artificial Intelligence call for new paradigms and a new look onKnowledge Representation and Processing at scale for the Semantic Web. The emerging, but stillto be concretely shaped concept of “Knowledge Graphs” provides an excellent unifying metaphorfor this current status of Semantic Web research. More than two decades of Semantic Webresearch provides a solid basis and a promising technology and standards stack to interlink data,ontologies and knowledge on the Web. However, neither are applications for Knowledge Graphsas such limited to Linked Open Data, nor are instantiations of Knowledge Graphs in enterprises– while often inspired by – limited to the core Semantic Web stack. This report documents theprogram and the outcomes of Dagstuhl Seminar 18371 “Knowledge Graphs: New Directions forKnowledge Representation on the Semantic Web”, where a group of experts from academia andindustry discussed fundamental questions around these topics for a week in early September 2018,including the following: what are knowledge graphs? Which applications do we see to emerge?Which open research questions still need be addressed and which technology gaps still need tobe closed?


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Dagstuhl Reports
Language English
Title Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web (Dagstuhl Seminar 18371)
Volume 8
Number 9
Year 2019
Page from 29
Page to 111
URL https://drops.dagstuhl.de/opus/volltexte/2019/10328/pdf/dagrep_v008_i009_p029_18371.pdf
DOI http://dx.doi.org/10.4230/DagRep.8.9.29
Open Access Y
Open Access Link http://drops.dagstuhl.de/opus/volltexte/2019/10328/


Polleres, Axel (Details)
Bonatti, Piero Andrea (University of Naples, Italy)
Decker, Stefan (RWTH Aachen, Germany)
Presutti, Valentina (STLab, ISTC-CNR – Rome, Italy)
Institute for Data, Process and Knowledge Management (AE Polleres) (Details)
Institute for Data, Process and Knowledge Management IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1100 Mathematics, information technology (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
5367 Management information systems (Details)
5937 Information systems (Details)
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