"What are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web."(Haller et al, 2019)https://t.co/wE8nEH0ugn pic.twitter.com/2q22ow6jB4— WikiResearch (@WikiResearch) October 10, 2019

Natural language question answering over #knowledgegraphs enables accurate answers in intuitive manner. But bridging the gap between unstructured questions & knowledge graphs is a challenge. Novel notion: structural query pattern #research #AI #NLP

A Practical Guide to Build an Enterprise #KnowledgeGraph for Investment Analysis. 1. Schema Design 2. D2R Transformation 3. Information Extraction 4. Data Fusion with Instance Matching 5. Storage Design and Query Optimization

.@Wikidata is a community-maintained knowledge base that epitomizes FAIR principles of Findability, Accessibility, Interoperability, Reusability. Collection of #opensource tools simplify addition synchronization of Wikidata w source #databases h/t @danbri

.@shivamshaz #datascientist who rules #DataScience for Good competitions on #Kaggle wants to apply expertise in #ML to solve micro-finance problems for underbanked population in developing countries using network science, graph theory, unstructured data

#Knowledgegraphs are dynamic, evolve over time w addition or deletion of triples. Most existing models focus on embedding static KGs. New context-aware Dynamic Knowledge Graph Embedding (DKGE) method supports embedding learning in online fashion #research

.@healx a Cambridge, U.K.-based startup using AI to help discover new treatments for rare diseases, raised $56 million in Series B funding. They focus on rare genetic diseases and have the world’s leading biomedical #knowledgegraph for rare diseases

MP voting records are public record in the UK, detailed #data is available about how each MP has voted in each bill @PublicWhip collect data & make it accessible @joshua_e_k explores how to use a #GraphDatabase to look at MP’s voting record similarity

How to model #Facebook posts and user reactions, using #Neo4j #graphdatabase #socialmedia #data #analytics #softwareengineering #knowledgegraph

.@jQAssistant is a #QA tool which allows definition & validation of project specific rules on a structural level. Built upon #Neo4j #graphdatabase, can be plugged into build process. Now w/ #PlantUML class diagrams #dataviz #softwareengineering

#KnowledgeGraphs can be considered to be fulfilling an early vision in Computer Science of creating intelligent systems that integrate knowledge & data at large scale. A Brief History of Knowledge Graph's Main Ideas: A tutorial by @juansequeda http://knowledgegraph.today/paper.html

#Google Applying BERT models to Search, understanding searches better than ever before. Last year, #opensource #neuralnetwork-based technique for natural language processing was introduced enabling anyone to train question answering system #AI #ML

ClaimsKG, a #knowledgegraph of fact-checked claims, which facilitates structured queries about their truth values, authors, dates, journalistic reviews and other kinds of metadata. Harvests data from popular fact-checking sites, annotates w @DBpedia

On the Role of #KnowledgeGraphs in Explainable #AI: A #MachineLearning Perspective @freddylecue @Inria h/t @aaranged @iswc_conf #iswc2019 #semex2019 #research http://www-sop.inria.fr/members/Freddy.Lecue/presentation/ISWC2019-FreddyLecue-Thales-OnTheRoleOfKnowledgeGraphsInExplainableAI.pdf

Querying @DBPedia #LinkedData From Jupyter Notebooks – Music Genres Related to Heavy Metal and Music Venues in England. #data #tech #dataviz #knowledgegraph #datascience @psychemedia h/t @aaranged

Towards the @BoschGlobal Materials Science Knowledge Base #Industry40 #data #knowledgemanagement #knowledgegraph use case in #iswc_conf #digitaltransformation #business #tech @metaphacts http://ceur-ws.org/Vol-2456/paper89.pdf

What is the application of #semanticweb in e-commerce, e-banking, e-government, and #lifescience? Most value-creating companies in the world are using #knowledgegraph @AlanMorrison on @Quora #business #tech #data #digitaltransformation https://www.quora.com/What-is-the-application-of-semantic-web-in-e-commerce-e-banking-e-government-and-life-science/answer/Alan-Morrison?ch=2&srid=Mru

A knowledge scientist is a person who builds bridges between #business requirements, questions, and #data. The goal is to document knowledge @juansequeda #AI #machinelearning #businessintelligence #analytics https://www.infoworld.com/article/3448577/who-should-be-responsible-for-your-data-the-knowledge-scientist.html

#CaLiGraph, a #knowledgegraph which comes with 5.6M instances and a rich ontology with 750k classes and 200k class restrictions compiled from the @DBpedia ontology and @Wikipedia Categories & Listpages announced by @heikopaulheim @nheist @dwsunima http://caligraph.org

The first public presentation of mm-ADT at ApacheCon 2019 in Las Vegas, Nevada.

#Knowledgegraphs are important resources for many #artificialintelligence tasks but often suffer from incompleteness. #research proposes to use pre-trained language models for knowledge graph completion. Novel framework named KG-BERT

.@opencitations & its datasets, tools, services, activities: #DataModel; @sparontologies (Semantic Publishing & Referencing) #ontologies; open software for searching, browsing and providing REST APIs over RDF #graphDBs; and more #OpenScience #OA https://arxiv.org/abs/1906.11964

.@Gartner Magic Quadrant for Metadata Management Solutions is out, and includes 2 vendors whose solutions rely on #knowledgegraphs #semantics #ontology #graphdatabase Congrats @datadotworld @semwebcompany https://www.gartner.com/en/documents/3970385

Graph databases are shaped the way we think, so why can't people get their heads around them?

Watch Martha's video on Connected Schema Markup and Knowledge Graphs to understand why they are important, how they are built using triples, how adding schema.org properties creates triples and how you can create relationships between entities to improve your SEO success

GPU->Rapids->Cugraph->Scalable Graph Analytics

After more than a decade, the supply-driven approach to publishing public (open) data has resulted in an ever-growing number of data silos. Hundreds of thousands of datasets have been catalogued and can be accessed at data portals at different administrative levels. However, usually, users do not think in terms of datasets when they search for information. Instead, they are interested in information that is most likely scattered across several datasets. In the world of proprietary in-company data, organizations invest heavily in connecting data in knowledge graphs and/or store data in data ...

The Ontologies Community of Practice is engaged in the development of ontologies for agricultural research. In a series of blog posts, we’ll take a look at ongoing ontologies projects and developments.