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|pdfUrl=https://ceur-ws.org/Vol-2175/keynote1.pdf
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<pdf width="1500px">https://ceur-ws.org/Vol-2175/keynote1.pdf</pdf>
<pre>
               Challenges and Innovations in Building
                    a Product Knowledge Graph

                                     Xin Luna Dong (Amazon)


                                              Abstract


Knowledge graphs have been used to support a wide range of applications and enhance search
results for multiple major search engines, such as Google and Bing. At Amazon we are building a
Product Graph, an authoritative knowledge graph for all products in the world. The thousands of
product verticals we need to model, the vast number of data sources we need to extract knowledge
from, the huge volume of new products we need to handle every day, and the various applications
in Search, Discovery, Personalization, Voice, that we wish to support, all present big challenges in
constructing such a graph. In this talk we describe four scientific directions we are investigating in
building and using such a graph, namely, harvesting product knowledge from the web, hands-off-
the-wheel knowledge integration and cleaning, human-in-the-loop knowledge learning, and graph
mining and graph-enhanced search. This talk will present our progress to achieve near-term goals
in each direction, and show the many research opportunities towards our moon-shot goals.




Short Bio:

Xin Luna Dong is a Principal Scientist at Amazon, leading the efforts of constructing Amazon
Product Knowledge Graph. She was one of the major contributors to the Google Knowledge Vault
project, and has led the Knowledge-based Trust project, which is called the “Google Truth
Machine” by Washington’s Post. She has co-authored book “Big Data Integration”, published 70+
papers in top conferences and journals, and given 30+ keynotes/invited-talks/tutorials. She got the
VLDB Early Career Research Contribution Award for advancing the state of the art of knowledge
fusion, and got the Best Demo award in Sigmod 2005. She serves in VLDB endowment and
PVLDB advisory committee, is the PC co-chair for Sigmod 2018 and WAIM 2015, and serves as
an area chair for Sigmod 2017, CIKM 2017, Sigmod 2015, ICDE 2013, and CIKM 2011.

</pre>