=Paper=
{{Paper
|id=Vol-2646/w-invited
|storemode=property
|title=15 Years of Knowledge Graphs: Lessons, Challenges, Opportunities (Abstract)
|pdfUrl=https://ceur-ws.org/Vol-2646/w-invited.pdf
|volume=Vol-2646
|authors=Gerhard Weikum
|dblpUrl=https://dblp.org/rec/conf/sebd/Weikum20
}}
==15 Years of Knowledge Graphs: Lessons, Challenges, Opportunities (Abstract)==
<pdf width="1500px">https://ceur-ws.org/Vol-2646/w-invited.pdf</pdf>
<pre>
          15 Years of Knowledge Graphs:
         Lessons, Challenges, Opportunities

                              Gerhard Weikum

                     Max Planck Institute for Informatics
                       Saarland Informatics Campus
                          Saarbrücken, Germany
                      Email: weikum@mpi-inf.mpg.de



    Abstract. Machines with comprehensive knowledge of the world’s en-
    tities and their relationships has been a long-standing vision and chal-
    lenge of AI. Over the last 15 years, huge knowledge bases, also known as
    knowledge graphs, have been automatically constructed from web data
    and text sources, and have become a key asset for search, analytics,
    recommendations and data integration. This digital knowledge can be
    harnessed to semantically interpret textual phrases in news, social me-
    dia and web tables, contributing to question answering, natural language
    processing and data analytics. This talk reviews these advances and dis-
    cusses lessons learned. Moreover, it identifies open challenges and new
    research opportunities.




Copyright c 2020 for this paper by its authors. Use permitted under Creative Com-
mons License Attribution 4.0 International (CC BY 4.0). This volume is published
and copyrighted by its editors. SEBD 2020, June 21-24, 2020, Villasimius, Italy.

</pre>