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

#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

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

#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]

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]

For #eBay, the #application/infrastructure #knowledgegraph is a heterogeneous property graph that improves architectural visibility, operational efficiency, #developer productivity. How it was developed, benefits, use cases #data #analytics #devops #AI [LINK]https://tech.ebayinc.com/research/ebays-new-approach-to-managing-a-vast-service-architecture/[/LINK] [IMAGE]https://tech.ebayinc.com/assets/Uploads/Editor/_resampled/ResizedImageWzE2MDAsNjcwXQ/image66.png[/IMAGE]

It’s no longer necessary to choose between RDF & LPG #knowledgegraphs. RDF* offers the best of both worlds so you don’t have to give up anything. #AI #EmergingTech #data #analytics #datascience

.@GitHub makes CodeQL #semantic code analysis engine free for #research, #opensource development. A semantic code graph of all public repos offers enormous opportunities to understand/improve #softwaredevelopment patterns/quality/security #data #analytics

Generating structured #KnowledgeGraphs is relevant for decision making & information augmentation. #research studies generating KGs as relational representation of inputs: nodes represent entities, edges represent relations #EmergingTech #AI h/t @aaranged

Leveraging the Neo4j Community Graph For Social Discovery

.@TigerGraph #graphDB updates its #Cloud offering with configuration for distributed graphs, replica instances for high availability, EFS for backup/restore. Updates available by end of 2019 on #AWS, #Azure to follow in Q1 2020

.@CausalyAI #AI #medical #research #startup gets $5M investment to enable discovery of causal evidence, insights from documents. Machine-reading platform turns text to causal #knowledgegraphs applies #machinelearning to surface new knowledge #EmergingTech

#knowledgegraphs need #DLTs to secure keys, DLTs need knowledge graphs to provide context & provenance. Ultimately, knowledge graphs will end up being the integration point for a number of #technologies lumped under #AI #data #EmergingTech @kurt_cagle

Are Property Graphs Training Wheels on the way to #KnowledgeGraphs? @semanticarts contention is that beyond initial #analytics use case, great body of work that already exists, has been long standardized will have to be reinvented #graphDB #datascience

#knowledgegraph-based #research to design a 20 questions game on Bollywood movies. Uses probabilistic learning model for template-based question generation & answer prediction. Dataset of interrelated entities represented as weighted knowledge graph #AI

Graphs are common #data structures to represent #connecteddata. To use graphs with #deeplearning, we use graph embeddings, a low dimension representations which helps generalize input data. Node2Vec aims to preserve network neighborhoods #datascience #AI

#Semantic Scholar Graph of References in Context: a large contextual citation graph of 81.1M academic publications, including parsed full text for 8.1M open access papers, across broad #science domains #research #knowledgegraph #openscience #AI @allen_ai

#Ontology Management Market to gain massive momentum by 2025 says @Reportconsult #research #semantics #data #analytics #datascience #knowledgegraph #AI #EmergingTech h/t @taxobob @theodorapetkova

Identifying a #propaganda bot network with graph #analytics #disinformation #socialmedia #twitter #indonesia @bellingcat h/t @Linkurious

#Ontology-Mediated Query Answering (OMQA) is a framework to answer queries over RDFS or OWL Knowledge Bases (KB). OMQA has been extended to SPARQL queries. #Research shows semantics can be defined that satisfies all requirements for SPARQL queries

.@lyfteng announces #opensource Amundsen #data discovery & #metadata engine. Metadata service provides metadata about data resources, displayed in the front-end, utilized by other services. By default, the persistent layer is powered by #Neo4j #graphDB

Updates on #knowledgegraphs affect services built on top of them. But not all changes are the same: some updates drastically change the result of operations based on knowledge graph content; others do not lead to any variation #research #award #iswc_conf

Knowledge Graph – A Powerful #DataScience Technique to Mine Information from Text. Learn how to build #knowledgegraph using text from Wikipedia pages, using #Python & popular spaCy #opensource library #softwaredevelopment #data #tutorial @AnalyticsVidhya