Knowledge Representation & Reasoning Meets Machine Learning

Your guide to the KG-related research in NLP, December edition

Actually, this is pretty interesting > Ontology-based and User-focused Automatic Text Summarization (OATS): Using COVID-19 Risk Factors as an Example https://t.co/YvvevnKtbV pic.twitter.com/5njn4ZXeKj— Aaron Bradley (@aaranged) December 8, 2020

"To support the management of mappings throughout their entire lifecycle, we propose a comprehensive catalog of sophisticated mapping patterns that emerge when linking databases to ontologies." Mapping Patterns for Virtual Knowledge Graphs https://t.co/wTKGPIaPfT— Aaron Bradley (@aaranged) December 8, 2020

"How can we learn world models that endow agents with the ability to do temporally extended reasoning?" World Model as a Graph: Learning Latent Landmarks for Planning https://t.co/ifSa6j2uYJ pic.twitter.com/yWnuchuBI4— Aaron Bradley (@aaranged) December 8, 2020

"Hunters, busybodies, and the knowledge network building associated with curiosity": constructing networks of Wikipedia readers' exploration to capture differences in curiosity practice and information-seeking mechanisms.(Lydon-Staley et al, 2020)https://t.co/DVSuAB2jSQ pic.twitter.com/Jf9QtIkTsz— WikiResearch (@WikiResearch) December 8, 2020

Towards a Shared Peer-Review Taxonomy: An interview with Joris van Rossum and Lois Jones https://t.co/VQ0C807Rms pic.twitter.com/wGls0T8QKC— cbaumle (@cbaumle) December 10, 2020

It comes down to how easily the story falls apart.

Our chapter "#Ontology Extraction and Usage in the Scholarly Knowledge Domain" is now available in the book "Applications and Practices in Ontology Design, Extraction, and Reasoning". Using #MachineLearning to learn #KnowledgeGraphs of Science. Preprint: https://t.co/cWnnAihZUo https://t.co/gexnP0PSBq pic.twitter.com/bU363igotd— Francesco Osborne (@FraOsborne) November 23, 2020

These remarks cribbed from an talk that ended with the words "Launching the CCC Knowledge Graph", so another named enterprise knowledge graph coming our way soon, I guess. https://t.co/z9eIDO01yg— Aaron Bradley (@aaranged) November 23, 2020

Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction https://t.co/hxdwBmvCKV pic.twitter.com/M2oOmtcB7G— Aaron Bradley (@aaranged) November 25, 2020

#schema.org v11 is out, with the biggest changes being to pending (i.e. vocabulary in development, pictured). https://t.co/MGAw2wbX2K Some notable additions there... pic.twitter.com/zyuMweBvOa— Aaron Bradley (@aaranged) December 2, 2020

In this talk, there are a few thoughts on Semantic MediaWiki as a generic "thinking tool", as a pay-as-you-go development environment, or, as I call it, the #ultimatenerdsnipe I don't think I expressed these ideas in a recorded talk before, so I hope you enjoy it! https://t.co/XTfwCFLa2B— Denny Vrandečić (@vrandezo) December 4, 2020

I made a quick video on the basics of DeepMind's AlphaFold 2, one of the biggest accomplishments in the history of AI and life sciences. Hope the video... 45 comments on LinkedIn

In the last year, graph embeddings have become increasingly important in Enterprise Knowledge Graph (EKG) strategy. Graph embeddings will…

FYI: #semanticweb #ontologies and #linkedopendata can be hosted on #github pages with proper #mime types - just wrote a small test-case. See here for code: https://t.co/7iSh8g4atw - inspiration from @iswc_conf #slack— martin hepp (@mfhepp) November 3, 2020

Link Prediction in #KnowledgeGraphs with an Explainable AI approach that supports newly emerging entitiesPresented this week at #ISWC2020 Joint work w/ @kingsaintrb Code: https://t.co/OzjaefFFoLPaper:https://t.co/4saczQ0slx pic.twitter.com/BnY03YtYTc— Gerard de Melo (@gdm3000) November 4, 2020

gist is Semantic Arts' "minimalist upper ontology. It is designed to have the maximum coverage of typical business ontology concepts with the fewest number of primitives and the least amount of ambiguity." https://t.co/5pwf1LVR67— Aaron Bradley (@aaranged) November 4, 2020

Part 1 : Encoding KG Aliases in Attentive Neural Network for Entity Linking (ARJUN)

Yes!! One of the cool things about the semantic web community is the gender balance! https://t.co/Ch5ed6sAoU— Juan Sequeda (@juansequeda) November 3, 2020

Computer scientists develop a better way to find approximate solutions to the 44-year-old "traveling salesperson" problem.Paper: https://t.co/75WRpTKCmN (v/@UW) More: https://t.co/489nTfxm9J (v/@EricaKlarreich @QuantaMagazine)#MondayMotivation pic.twitter.com/4Xh61lzEmK— MIT CSAIL (@MIT_CSAIL) November 9, 2020

RDF vs. Property Graphs! hear @joshsh and @jansaasman of @Franzinc on @TheGraphShow episode #1https://t.co/yOaqdmNqWR#Ontology #GraphDatabases #Semantic #RDF #KnowledgeGraphs pic.twitter.com/NDBKxmrvJR— TheGraphShow (@TheGraphShow) November 2, 2020

"Inrupt ... has launched its first enterprise-ready Solid servers for use by more than a dozen partners, including the NHS, the BBC and NatWest Bank." https://t.co/HcW0uWJjUZ— Aaron Bradley (@aaranged) November 10, 2020

This - at first blush - looks pretty good.... https://t.co/H8ngiL8kdp pic.twitter.com/dwtOWubicI— Aaron Bradley (@aaranged) November 10, 2020

Graph Neural Networks in Recommender Systems: A Survey https://t.co/KL3AMT4bzn pic.twitter.com/TMJzh1VZr8— Aaron Bradley (@aaranged) November 10, 2020

New episode of @TheGraphShow : @joshsh interviews @OReillyMedia Author - @DeniseKGosnell https://t.co/QTfJOvWr4Ton #GraphThinking #customer360 #TinkerPop #graphdatabases pic.twitter.com/SjR9a8WDRD— TheGraphShow (@TheGraphShow) November 9, 2020

LIquid: The soul of a new graph database, Part 2 https://t.co/gXHEirwP6m via @LinkedInEng— Cambridge Semantics (@CamSemantics) October 2, 2020