Song Cui and Dhananjay Shrouty | Software Engineers, Content KnowledgeInterest Taxonomy at PinterestWe recently began rolling out the beta version of Pinterest Trends, a new tool that gives a view...

.@Josh_Bersin has been writing about the explosion of #Skills #Ontology from Workday, Degreed, EdCast, etc. @CornerstoneInc, a Learning Management Systems provider, entered the game via acquisition of @Clustree #futureofwork #knowledgegraph #EmergingTech

.@CamSemantics announces Anzo #GraphDB v.2: RDF*, Custom SDK, Free Edition. "Imagine being able to do labeled properties, just like you do in Neo4j & other property graphs, but also have capability of RDF to help w ontologies & inferencing" #data #tech

Multi-model is a useful #technology for #enterprise #knowledgegraphs, say @arthurakeen @arangodb Benefits: streamlining multi-source #data to EKGs, increasing usability of EKG data for business, enabling greater scale, reducing EKG ecosystem footprint

Kurt Cagle is one of the advisors behind the SEMANTICS 2020 Conference. He is a writer, data scientist and futurist focused on the intersection of computer technologies and society. He is also the founder of Semantical, LLC, a smart data company. In this interview, Kurt shares with us some of his expertise and his vision for the new paths being opened by Semantic Technologies.

Most #machinelearning #algorithms work well w/ either text or structured #data. #Semantic data models can close the gap. Relationships between business/data objects can be made available for further analysis #knowledgegraph #AI #datascience #EmergingTech

While graph #tech #GraphDB graph computation will not be everything, true #digitaltransformation will only get underway once we begin building out #knowledgegraphs to mediate the hardest part of #datamanagement: integration #innovation #data #2020NewYear

#KnowledgeGraphs and their central role in #bigdata processing: Past, Present, and Future #keynote #presentation #research #AI #datascience #data @amit_p

datacommons.org isn’t a single thing, but rather a collection of #data & tools. These comprise a #knowledgegraph linking data from a number of open sources, supporting schemas, API to access data in the graph, graph browser, fact-check dataset @aaranged

To understand trends as they’re happening, @pinteresteng needs to understand content & categories. To do that, they built a taxonomy-based knowledge management system that enables content understanding in a highly efficient way #knowledgegraph #AI #data

Creating Graphs in Python using Networkx #dataviz #tutorial #datascience #data #tech

Graph Theory and #DataScience: A topic intro with the Bridges of Königsberg. Graph Theory can be used to represent and analyze a wide variety of network information, has numerous modern applications within Data Science #data #tech #software #algorithms

#Semantic #technology, decision intelligence, knowledge #datascience will be our companions in the next years, so it's recommended to start exploring #graphdatabases, #ontologies, knowledge representation systems #knowledgegraph #AI #2020NewYear #trends

Graph #Visualisation w @TerminusDB #opensource #GraphDB: Bike Share #Data #tutorial #softwaredevelopment

Meaning-First data modeling for #semantic #knowledgegraphs: a replacement to Structure-First modeling. The relational model was a great start for #datamanagement, but it is time to embrace a radical return to simplicity: Meaning-First data modeling #data

#KnowledgeGraphs & #Applications. What makes a KG what it is, is that, unlike a regular database that gets populated & stays dormant, a KG is supposed to re-purpose itself, provide new insights and inferences #datascience #AI #analytics @AnalyticsVidhya

#Knowledgegraphs applied in #retail. Semantic searches are common: “sassy dress” / “dress for dancing” will occur more than a search for a specific product name. KG based on product attributes/semantic entities can be used to associate words #EmergingTech

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

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…