Denny at 16:06, 24 May 2019

2019-05-24T16:06:48Z

Denny: Created page with "{{pubdate|{{subst:CURRENTDAY}}|{{subst:CURRENTMONTHNAME}}|{{subst:CURRENTYEAR}}}} Last week, on May 13, the [https://datainnovation.soic.indiana.edu/www2019_kgta/index.html K..."

2019-05-23T17:47:03Z

Created page with "{{pubdate|{{subst:CURRENTDAY}}|{{subst:CURRENTMONTHNAME}}|{{subst:CURRENTYEAR}}}} Last week, on May 13, the [https://datainnovation.soic.indiana.edu/www2019_kgta/index.html K..."

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{{pubdate|23|May|2019}}

Last week, on May 13, the [https://datainnovation.soic.indiana.edu/www2019_kgta/index.html Knowledge Graph Technology and Applications workshop] happened, co-located with [https://www2019.thewebconf.org/ the Web Conference 2019] (formerly known as WWW), in San Francisco. I was invited to give the opening talk, and talked about the limits of Knowledge Graph technologies when trying to express knowledge. The talk resonated well.

Just like in last week's KGC, the breadth of KG users is impressive: NASA uses KGs to support air traffic management, Uber talks about their massive virtual KG, LinkedIn, Alibaba, IBM, Genentech, etc. I found particularly interesting that Microsoft has not one, but at least four large Knowledge Graphs: the generic Knowledge Graph Satori; an Academic Graph for science, papers, citations; the Enterprise Graph (mostly LinkedIn), with companies, positions, schools, employees and executives; and the Work graph about documents, conference rooms, meetings, etc. All in all, they boasted more than a trillion triples (why is it not a single graph? No idea).

Unlike last week, the focus was less on sharing experiences when working with Knowledge Graphs, but more on academic work, such as query answering, mixing embeddings with KGs, scaling, mapping ontologies, etc. Given that it is co-located with the Web Conference, this seems unsurprising.

The workshop was very well visited - it got the second largest room of the day, and the room didn’t feel empty, but I have a hard time estimating how many people where there (about 100-150?). The audience was engaged.

The connection with the Web was often rather tenuous, unless one thinks of KGs as inherently associated with the Web (maybe because they often could use Semantic Web standards? But also often they don’t). On the other side it is a good outlet within the Web Conference for the Semantic Web crowd and to make them mingle more with the KG crowd, I did see a few people brought together into a room that often have been separated, and I was able to point a few academic researchers to enterprise employees that would benefit from each other.

Thanks to [http://info.slis.indiana.edu/~dingying/ Ying Ding] from the Indiana University and the other organizers for organizing the workshop, and for all the discussion and insights it generated!

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 Last week, on May 13, the [https://datainnovation.soic.indiana.edu/www2019_kgta/index.html Knowledge Graph Technology and Applications workshop] happened, co-located with [https://www2019.thewebconf.org/ the Web Conference 2019] (formerly known as WWW), in San Francisco. I was invited to give the opening talk, and talked about the limits of Knowledge Graph technologies when trying to express knowledge. The talk resonated well.
-Just like in last week's KGC, the breadth of KG users is impressive: NASA uses KGs to support air traffic management, Uber talks about their massive virtual KG, LinkedIn, Alibaba, IBM, Genentech, etc. I found particularly interesting that Microsoft has not one, but at least four large Knowledge Graphs: the generic Knowledge Graph Satori; an Academic Graph for science, papers, citations; the Enterprise Graph (mostly LinkedIn), with companies, positions, schools, employees and executives; and the Work graph about documents, conference rooms, meetings, etc. All in all, they boasted more than a trillion triples (why is it not a single graph? No idea).
+Just like in last week's KGC, the breadth of KG users is impressive: NASA uses KGs to support air traffic management, Uber talks about the potential for their massive virtual KG over 200,000 schemas, LinkedIn, Alibaba, IBM, Genentech, etc. I found particularly interesting that Microsoft has not one, but at least four large Knowledge Graphs: the generic Knowledge Graph Satori; an Academic Graph for science, papers, citations; the Enterprise Graph (mostly LinkedIn), with companies, positions, schools, employees and executives; and the Work graph about documents, conference rooms, meetings, etc. All in all, they boasted more than a trillion triples (why is it not a single graph? No idea).
 Unlike last week, the focus was less on sharing experiences when working with Knowledge Graphs, but more on academic work, such as query answering, mixing embeddings with KGs, scaling, mapping ontologies, etc. Given that it is co-located with the Web Conference, this seems unsurprising.
 The workshop was very well visited - it got the second largest room of the day, and the room didn’t feel empty, but I have a hard time estimating how many people where there (about 100-150?). The audience was engaged.
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 Thanks to [http://info.slis.indiana.edu/~dingying/ Ying Ding] from the Indiana University and the other organizers for organizing the workshop, and for all the discussion and insights it generated!
 {{tag|Trip report}}
 <noinclude>{{simiapost|english}}</noinclude>

Knowledge Graph Technology and Applications 2019 - Revision history

Denny at 16:06, 24 May 2019

Denny: Created page with "{{pubdate|{{subst:CURRENTDAY}}|{{subst:CURRENTMONTHNAME}}|{{subst:CURRENTYEAR}}}} Last week, on May 13, the [https://datainnovation.soic.indiana.edu/www2019_kgta/index.html K..."