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|title=None
|pdfUrl=https://ceur-ws.org/Vol-2477/invited_1.pdf
|volume=Vol-2477
|dblpUrl=https://dblp.org/rec/conf/semweb/Demartini19
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<pdf width="1500px">https://ceur-ws.org/Vol-2477/invited_1.pdf</pdf>
<pre>
         Invited Talk: Knowledge Graph Quality
                       Management

                                 Gianluca Demartini?

             School of Information Technology and Electrical Engineering,
                               University of Queensland
                   GP South Building, Staff House Road, St Lucia
                                 QLD 4072 Australia
                             e-mail: demartini@acm.org



        Abstract. This talk discusses recent research related to managing data
        quality for Knowledge Graphs and also some applications related to the
        biomedical domain. First, the talk will show how to deal with noisy labels
        in datasets which are used to train machine learning models. Then, the
        completeness dimension of knowledge graphs will be discussed. The fo-
        cus will be on work aiming to estimate the expected number of instances
        for a class in order to measure the level of data completeness. Related
        to this, the talk will show how crowdsourced knowledge graphs receive
        contribution towards increasing completeness and how different people
        contribute at different levels over time. Finally, it will be demonstrated
        how human bias reflected in the contributed data can be represented
        in the knowledge graph and surfaced to users. The second part of the
        talk will discuss a couple of application scenarios in the biomedical do-
        main where knowledge graph are used, including entity extraction and
        information access.


Speaker Bio: Dr. Gianluca Demartini is an Associate Professor in Data Science at
the University of Queensland, School of Information Technology and Electrical En-
gineering. His main research interests are Information Retrieval, Semantic Web, and
Human Computation. He received Best Paper awards at the AAAI Conference on
Human Computation and Crowdsourcing (HCOMP) in 2018 and at the European
Conference on Information Retrieval (ECIR) in 2016 and the Best Demo award at
the International Semantic Web Conference (ISWC) in 2011. He has published more
than 100 peer-reviewed scientific publications including papers at major venues such
as WWW, ACM SIGIR, VLDBJ, ISWC, and ACM CHI. He has given several in-
vited talks, tutorials, and keynotes at a number of academic conferences (e.g., ISWC,
ICWSM, WebScience, and the RuSSIR Summer School), companies (e.g., Facebook),
and Dagstuhl seminars. He is an ACM Distinguished Speaker since 2015. He serves
as co-editor in chief for the Human Computation Journal, area editor for the Journal
of Web Semantics, editorial board member for the Information Retrieval journal, and
as Crowdsourcing and Human Computation Track co-Chair at WWW 2018. He has
?
    Copyright ©2019 for this text by its author. Use permitted under Creative Commons
    License Attribution 4.0 International (CC BY 4.0).


                                            i
been Program Committee member for several conferences including WWW, SIGIR,
KDD, AAAI, IJCAI, ISWC, and ICWSM. Before joining the University of Queens-
land, he was Lecturer at the University of Sheffield in UK, post-doctoral researcher at
the eXascale Infolab at the University of Fribourg in Switzerland, visiting researcher
at UC Berkeley, junior researcher at the L3S Research Center in Germany, and intern
at Yahoo! Research in Spain. In 2011, he obtained a Ph.D. in Computer Science at the
Leibniz University of Hanover focusing on Semantic Search.




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