GraphNews

#ontology has advantages over more common #data structures: Easy Architectural Changes, Inference, Linking Systems Together, Data Surfing. Ontology will become fundamental to how we organize and distribute data @ExagoInc h/t @aaranged

How "talking semantics" can help you perform better #DataScience. @palexop #StrataData talk in New York slides now available #dataModeling #semantics

"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

.@GoogleAI #research team uses graph #neuralnetworks to predict olfactory properties of molecules, expanding understanding of smell & odor. Potential applications ranging from odorant synthesis to scent digitization #innovation

.@RedisLabs has implemented openCypher query language over a specialized #data structure. Coverage currently ~60% growing -> 80% soon. Redis Labs is participating in effort to define new standard for graph query languages #graphDB #opensource #innovation

Free @DataStax Academy course Getting Started w @apachetinkerpop & Gremlin. To be familiar with Gremlin traversal syntax & techniques, developers need to understand how the language works @ABridgwater @DeniseKGosnell #tutorial #softwaredevelopment

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

The Codex is a project that aims to achieve deep integration between text and structured data by building a graph network of people, places, events and concepts embedded in texts. #NLP services are incorporated to drive #semantic search @codexeditor

.@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

Relevance search is to find top-ranked entities in a #knowledgegraph that are relevant to a query entity. #Research paper on novel generative model over #knowledgegraphs for relevance search, named GREASE

The Hype Around #KnowledgeGraphs @DavidClarkeBlog @Synaptica, including paraphrases of notable knowledge graph definitions #connecteddata h/t @aaranged https://t.co/qdf89loxvW?amp=1

.@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

How I learned to stop worrying and love the graph database. A #graphdatabase is basically a database of connections. It’s the #technology that allows social networking sites like Facebook or LinkedIn to map connections between their users

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

An introduction to #ontologies: "What are Ontologies and why is one studying it?" @lysander07 h/t @nicolastorzec #knowledgegraph #semanticweb https://docs.google.com/presentation/d/e/2PACX-1vQH_7xI2pRVmffDstavO3j_TaR-1WdvBUAGYRxPXMF5FJpq6dxhdnqcW0D1B0PY2d4hSobcnD8kMN46/pub?slide=id.g701464a531d25fbb_0

#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

Taxonomy Development in a #LinkedData World by @aaranged @cosmicangler at @tbc_london The big idea: Because the world we live in is big and complex, we need to go about the job of taxonomy development in a way that matches that

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

#DataManagement ‘useful fictions’ @StardogHQ @kendall @pymnts: Firms only exist to be the repository of a particular #data universe. Key that may differentiate Tier 1 bank from other banks: #data it has on hand, tied to specific operations, customers https://www.pymnts.com/data/2019/stardog-on-data-managements-useful-fictions/

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