5 ms·

Microsoft Academic Knowledge Graph

137 points by ArtWomb 7y ago

__initbrian__ 7y ago
An example page is http://ma-graph.org:8080/mag-pubby/page/1528654387 http://ma-graph.org:8080/mag-pubby/page/1528654387
marmaduke 7y ago
It's unfortunate that acknowledgements such as funding sources are not included.
- jongalloway2 7y ago
  It looks like this is a possibly independent project to expose an RDF set over the Microsoft Academic Graph. More information about that here: https://www.microsoft.com/en-us/research/project/microsoft-academic-graph/ https://www.microsoft.com/en-us/research/project/microsoft-a... The above link also references the Open Academic Graph: https://www.openacademic.ai/oag/ https://www.openacademic.ai/oag/ Disclaimer: Microsoft employee, in a totally different part of the company and with no actual clue other than Googling the above. Also, Nazgûl.
  - marmaduke 7y ago
    thanks for your reply > Also, Nazgûl. I .. don't what you mean
tunesmith 7y ago
This is just the meta details about the papers, right? Not facts and findings contained within the papers themselves?
- ImaCake 7y ago
  Yes, just metadata. It does seem to include abstracts. This would be very useful for metascience - the study of how research is done.
graycat 7y ago
From Google: The Resource Description Framework (RDF) is a family of World Wide Web Consortium (W3C) specifications originally designed as a metadata data model.
xvilka 7y ago
I wonder, if Sci-Hub might integrate this data in their search engine.
emmelaich 7y ago
Probably should strip down your Tomcat instance a bit; change the landing page and remove docs and examples for instance. And there are CVEs for this version but you're probably not affected. https://www.cvedetails.com/vulnerability-list/vendor_id-45/product_id-887/version_id-282038/Apache-Tomcat-8.5.35.html https://www.cvedetails.com/vulnerability-list/vendor_id-45/p...
emmelaich 7y ago
On this page[0] you mention putty but you probably mean pubby[1] [0] http://ma-graph.org/knowledge-graph-exploration/ http://ma-graph.org/knowledge-graph-exploration/ [1] http://wifo5-03.informatik.uni-mannheim.de/pubby/ http://wifo5-03.informatik.uni-mannheim.de/pubby/
__afk__ 7y ago
Lovely to finally see Microsoft adopting RDF and taking on projects like this. There is hope yet for those of us who believe in the promise of semantic data.
ArtWomb 7y ago
Knowledge graphs are enjoying a renaissance in AI research. Perhaps due to their success in Game AI and Goal Oriented Action Planning. And this academic paper graph looked like one of the more "pure" datasets. The quality of the agent depends on the input clearly. And machine understanding of academic research is certainly a problem rich in potential rewards. Linked below are the results of a challenge to "solve" a Sherlock Holmes mystery based only on the text! One of the entries involved constructing a knowledge graph of all potential suspects in the entire Conan Doyle corpus ;) Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System https://arxiv.org/abs/1908.08184 https://arxiv.org/abs/1908.08184 Microsoft Research: Explainable AI for Science and Medicine https://www.youtube.com/watch?v=B-c8tIgchu0 https://www.youtube.com/watch?v=B-c8tIgchu0 SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model https://github.com/slundberg/shap https://github.com/slundberg/shap
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137 points by ArtWomb 7y ago

An example page is http://ma-graph.org:8080/mag-pubby/page/1528654387 http://ma-graph.org:8080/mag-pubby/page/1528654387

marmaduke 7y ago

It's unfortunate that acknowledgements such as funding sources are not included.

jongalloway2 7y ago
It looks like this is a possibly independent project to expose an RDF set over the Microsoft Academic Graph. More information about that here: https://www.microsoft.com/en-us/research/project/microsoft-academic-graph/ https://www.microsoft.com/en-us/research/project/microsoft-a... The above link also references the Open Academic Graph: https://www.openacademic.ai/oag/ https://www.openacademic.ai/oag/ Disclaimer: Microsoft employee, in a totally different part of the company and with no actual clue other than Googling the above. Also, Nazgûl.
- marmaduke 7y ago
  thanks for your reply > Also, Nazgûl. I .. don't what you mean

tunesmith 7y ago

This is just the meta details about the papers, right? Not facts and findings contained within the papers themselves?

ImaCake 7y ago
Yes, just metadata. It does seem to include abstracts. This would be very useful for metascience - the study of how research is done.

graycat 7y ago

From Google: The Resource Description Framework (RDF) is a family of World Wide Web Consortium (W3C) specifications originally designed as a metadata data model.

xvilka 7y ago

I wonder, if Sci-Hub might integrate this data in their search engine.

emmelaich 7y ago

Probably should strip down your Tomcat instance a bit; change the landing page and remove docs and examples for instance. And there are CVEs for this version but you're probably not affected. https://www.cvedetails.com/vulnerability-list/vendor_id-45/product_id-887/version_id-282038/Apache-Tomcat-8.5.35.html https://www.cvedetails.com/vulnerability-list/vendor_id-45/p...

emmelaich 7y ago

On this page[0] you mention putty but you probably mean pubby[1] [0] http://ma-graph.org/knowledge-graph-exploration/ http://ma-graph.org/knowledge-graph-exploration/ [1] http://wifo5-03.informatik.uni-mannheim.de/pubby/ http://wifo5-03.informatik.uni-mannheim.de/pubby/

__afk__ 7y ago

Lovely to finally see Microsoft adopting RDF and taking on projects like this. There is hope yet for those of us who believe in the promise of semantic data.

ArtWomb 7y ago

Knowledge graphs are enjoying a renaissance in AI research. Perhaps due to their success in Game AI and Goal Oriented Action Planning. And this academic paper graph looked like one of the more "pure" datasets. The quality of the agent depends on the input clearly. And machine understanding of academic research is certainly a problem rich in potential rewards. Linked below are the results of a challenge to "solve" a Sherlock Holmes mystery based only on the text! One of the entries involved constructing a knowledge graph of all potential suspects in the entire Conan Doyle corpus ;) Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System https://arxiv.org/abs/1908.08184 https://arxiv.org/abs/1908.08184 Microsoft Research: Explainable AI for Science and Medicine https://www.youtube.com/watch?v=B-c8tIgchu0 https://www.youtube.com/watch?v=B-c8tIgchu0 SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model https://github.com/slundberg/shap https://github.com/slundberg/shap

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