Don’t ask what #GraphQL can do for the #SemanticWeb; ask what the SW can do for GraphQL, says @szymonklarman Perspective dominating analyses so far has been considering GraphQL an interface for #linkeddata. That's valid, but there's another way #research

#Healthcare #knowledgegraphs typically compiled manually by experts. Researchers experimented w automatically generating KGs from patient #data. MIT #research studies how well they hold up across different diseases/patient populations #EmergingTech #AI

Knowledge Representation is a Tricky Business. The Choice Between Class and Instance Depends on Your Point of View #knowledgegraph #datamodel #AI #data #tech h/t @palexop

.@bill_slawski dissects #Google patent for mapping images, shows how entities in the #knowledgegraph can be mapped together to reflect related entities h/t @aaranged #innovation #research #EmergingTech #AI

What exactly is a #KnowledgeGraph: Using #Semantic Enrichment to connect the dots. A safe, simple definition of a knowledge graph that @SciBite uses is "a semantic graph that integrates information into an ontology" #dataviz Nodes=circles edges=arrows #AI

Commonsense #knowledgegraphs are rich repositories that encode how the world is structured. Scene graphs are powerful representations that encode images into their abstract #semantic elements. #Research presents a unified formulation #AI #EmergingTech

.@cytoscape is an #opensource #software platform for complex networks #dataviz. #Neo4j Graphs are often too large for Cytoscape; this plugin allows you to write Cypher queries, import result as a network. Queries can be parameterized & stored for reuse

Part 2 of @michael_galkin review of #knowledgegraph related papers from EMNLP 2019: Question Answering over KG, NLG from KGs, Commonsense reasoning with KGs, and some old school Named Entity/Relation Recognition & Linking #research #AI #EmergingTech #data

#KnowledgeGraphs can be applied to a wide variety of #NLP tasks: question answering, dialogue systems etc. @michael_galkin summarizes EMNLP 2019 #research: Augmented Language Models, Dialogue Systems & Conversational #AI, KGs from Text, KG Embeddings

The opportunity is here now to embark on a journey to take back control of your #data. #Enterprises can have one or many #knowledgegraphs for different purposes, domains, #apps. Knowledge becomes encoded, readily usable for humans & machines h/t @aaranged

How do search engines retrieve results? How can the #UnitedNations published content be more relevant? #LinkedData is structured #data interlinked w other data, making it more useful/discoverable through #semantic queries. UN launches linked data platform

Collaborative #knowledgegraphs such as @Wikidata rely on the crowd. Graph populated by non-standard, noisy, long or awkward titles, which is a challenge. #research: context-aware attentive #neuralnetwork approach for entity linking h/t @aaranged #AI #data

a general list of terms and phrases used frequently in the Semantics and Property Graph space. It is far from comprehensive, but if you've ever read my or other writers' articles, you may have run across terms that were unfamiliar. I'm publishing this here, with the intent of periodically updating it as time and resources permit.

The Journalists of the ICIJ used graph technology to understand the relationships between the leaked pieces of information in the Panama and Paradise Papers. N…

The emerging landscape for distributed knowledge, #ontology, #semanticweb, knowledge base, graph based technologies and standards. Current trends related to graph based #technology #knowledgegeraph #analytics #graphDB #AI #datascience #longread @nfigay

A collection of RDF libraries for JavaScript

#OpenSource Release @zazukocom #Ontology Manager. Tell a closed group to model the world & they will, often w/o outside feedback. Result may be powerful, but leads to ontologies few ppl use. It's best done using collaborative web platform #knowledgegraph

#MachineLearning on Graphs becomes a first-class citizen at #AI conferences while being not that mysterious as you may have imagined @michael_galkin checks out the goodies brought by NeurIPS 2019 #knowledgegraph #deeplearning #NLP #research h/t @aaranged

What Are #KnowledgeGraphs (vs. Other Kinds of Knowledge Organization Systems)? Taxonomy (Thesaurus), Ontology, #LinkedData by @taxobob

.@StardogHQ now supports property graphs. A key difference of RDF edge properties - property graphs: RDF edge property values are nodes in the graph. In property graphs attribute values are strings, not things – contrary to #knowledgegraph main principle

Do you want to learn more about #knowledgegraphs and data-centric architecture? @AlanMorrison put together a list of resources #datacentric #dataarchitecture #semantics #LinkedData #GraphDatabase

Do you want to learn more about #knowledgegraphs and data-centric architecture? @AlanMorrison put together a list of resources #datacentric #dataarchitecture #semantics #LinkedData #GraphDatabase

#SemanticWeb and #Semantic #Technology Trends in 2020. One way or another, it’s all about graphs. And #machinelearning. And #AI. And what their connections to each other are. Welcome to the world of semantic technology in 2020.

#Amazon #NLP service for #healthcare, Comprehend Medical, can now link information to medical #ontology. It's designed to understand relationships between things like dosage & conditions, improve medical outcomes & care #knowledgegraph #innovation

"We might conclude that we don’t need to represent knowledge in graphs explicitly anymore, but one of the hottest fields right now involves using deep learning to learn embedding representations of the base knowledge graph." h/t @aaranged @gm_spacagna [LINK]http://datasciencevademecum.com/2019/12/19/knowledge-graphs-and-causality/[\LINK] [IMAGE]https://datasciencevademecum.com/wp-content/uploads/2019/12/dark_1x01_-_string_wall_full-825x510.jpg[\IMAGE]

An interactive map of all the world's disputed areas from #wikidata. Built in 10 minutes by @planemad, using SPARQL #dataviz #knowledgegraph #opendata #graphDB #data #tech #EmergingTech #datascience Map #visualization on left-side menu h/t @LearningSPARQL [LINK]https://t.co/a4Yngspwds[/LINK] [IMAGE]https://pbs.twimg.com/tweet_video_thumb/EKBb_NGW4AIYhEH.jpg[/IMAGE]

Visually explore rich #datasets w/ #GPU & graph computing, no manual code. Add GPU experiences to #apps w/ Python or JavaScript @Graphistry for individuals and startups: same #software, 8X cheaper #graph #data #analytics #dataviz [LINK]https://www.graphistry.com/blog/introducing-graphistry-for-individuals-and-startups[/LINK] [IMAGE]https://www.graphistry.com/wp-content/uploads/2019/12/biogrid.gif[/IMAGE]

KBpedia combines 6 knowledge bases (Wikipedia, Wikidata, schema.org, DBpedia, GeoNames, OpenCyc), has mappings to more vocabularies. Can be used for #machinelearning, #data interoperability, knowledge-based #AI #Newrelease #knowledgegraph #opendata [LINK]http://www.mkbergman.com/2284/kbpedia-continues-quality-improvements/[/LINK] [IMAGE]http://www.mkbergman.com/wp-content/themes/ai3v2/images/2017Posts/kbpedia-logo-244.png[/IMAGE]

#Google Document Understanding #AI solution uses #machinelearning, #GCP to help create scalable, #cloud-based document understanding solution. Takes unstructured data, provides structure. Also supports custom #knowledgegraph creation (Alpha) h/t @aaranged [LINK]https://cloud.google.com/document-understanding/docs/[/LINK] [IMAGE]https://cloud.google.com/document-understanding/docs/images/duai.png[/IMAGE]

Using Redis #NoSQL #graph capabilities to build and query a family tree. #softwaredevelopment #tutorial #graphdatabase #data #datamodel #apps #code [LINK]http://gigi.nullneuron.net/gigilabs/family-tree-with-redisgraph/[/LINK] [IMAGE]http://gigi.nullneuron.net/gigilabs/wp-content/uploads/2019/11/redisgraph-family-tree-example-1024x494.png[/IMAGE]