[2102.13027] A Survey of RDF Stores & SPARQL Engines for Querying Knowledge Graphs
Recent years have seen the growing adoption of non-relational data models for representing diverse, incomplete data. Among these, the RDF graph-based data model has seen ever-broadening adoption,...
Metadata for RDF Statements: The RDF-star Approach | Meetup
Thu, Mar 25, 2021, 9:00 AM: The lack of a convenient way to capture annotations and statements about individual RDF triples has been a long standing issue for RDF. Such annotations are a native featur
[2102.13085] Towards Robust Graph Contrastive Learning
We study the problem of adversarially robust self-supervised learning on graphs. In the contrastive learning framework, we introduce a new method that increases the adversarial robustness of the...
The Rise of the Knowledge Scientist - Data Science Central
The still young discipline of the management and governance of knowledge graphs (KG) is gradually beginning to consolidate on the basis of concrete project ex…
[2102.11965] Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
The unification of statistical (data-driven) and symbolic (knowledge-driven) methods is widely recognised as one of the key challenges of modern AI. Recent years have seen large number of...
A curated list of various semantic web and linked data resources
https://lnkd.in/dTvZzMb "A curated list of various semantic web and linked data resources. To add something to the list please either submit a pull request...
160 SPARQL endpoints, indexing of stuff in GitHub repositories: interesting work by Vincent Emonet at @UM_IDS: https://t.co/6Jh93YEvRP (file PRs for missing resources here: https://t.co/M5d94NgIrn)— Egon Willighⓐgen (@egonwillighagen) February 27, 2021
From Knowledge Graphs to Knowledge Workflows | Diffblog
2020 Was The “Year of the Knowledge Graph” 2020 was undeniably the “Year of the Knowledge Graph.” 2020 was the year that Gartner put Knowledge Graphs at the peak of its hype cycle. It was the year where 10% of the papers published at EMNLP referenced “knowledge” in their titles. It was the year over […]
QuickGraph#18 Semantic similarity metrics in taxonomies: A wikipedia example on uncrewed spacecraft – Jesús Barrasa
In this post i’ll give you an overview of some similarity metrics I’ve discovered when working with WordNet. Even though they were originally proposed as linguistic similarity metrics, …
Graph Convolutional Embeddings for Recommender Systems
"Graph Convolutional Embeddings for Recommender Systems" by Paula Gómez Duran, Alexandros Karatzoglou et al. Paper: https://lnkd.in/dHskknV #graphnn #...
https://t.co/ooIuC1elTy version 12 is out - thanks to all who collaborated on this! https://t.co/rCzFkiwbBo has the details. In this edition https://t.co/ooIuC1elTy can now distinguish 6 kind of media-authenticity problem for reviewing images and videos; ... pic.twitter.com/a6yZv0ayDR— Dan Brickley (@danbri) March 8, 2021
Network mapping is a concrete method to include more voices in your reporting » Nieman Journalism Lab
It gives a framework and place to begin, recognizing that no outreach plan will work for everyone so it’s necessarily an iterative, step-by-step process.