How tech4pets is combating pet trafficking with graph technology - Linkurious
Tech4pets is helping animal welfare associations and authorities dismantle pet trafficking networks through the collection and analysis of online data.
How to Build a Knowledge Graph - PoolParty Semantic Suite
Knowledge graphs are at the core of many of the tools that we use in our daily lives, such as voice assistants (Alexa, Siri or Google Assistant), intuitive search applications and even online store recommenders. Not only internet giants but also companies from other industries such as BBC, Capital One, Electronic Arts or AstraZeneca have already integrated the technology and are using knowledge graphs to harness the power of all of the data they have accumulated over the years.
How to build a Knowledge Graph from Text Using spaCy
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
How to estimate completeness of classes in Wikidata – SocietyByte
The way in which general encyclopaedic knowledge is collected, curated and used has changed dramatically. Anyone in the world can edit Wikipedia at any time, as a registered user or anonymously. This happens in parallel in different languages. To include all even minority languages and avoid a misal
How to Use BERT to Generate Meta Descriptions at Scale
Parts of #Google Search, including BERT, go #opensource. BERT helps Google better understand intent of some queries, nothing to do w page content. You can’t optimize for BERT. But BERT can be used for text summarization #SEO #semantics #AI @hamletbatista
How well can computers connect symptoms to diseases?
#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
Ep. 51: Neo4j CEO on graph databases and the 5 ways to compete against cloud platforms
In this episode of the ARCHITECHT Show, founder and CEO Emil Eifrem discusses the sustaining value of graph databases, more than a decade since the first release of Neo4j and terms like "social graph" and "knowledge graph" became commonplace. Eifrem also talks about the business of NoSQL and details the 5 factors -- focus, pervasiveness, ecosystem, data, vertical integration -- he believes can help infrastructure companies compete against similar offerings from large cloud providers. Before the Eifrem interview, host Derrick Harris speaks with founder and CEO Gleb Budman about his company's...
Concept maps and graph data modeling: techniques in the “data modeler toolbox”
As a data modeler I’m always searching for ways to learn more about data modeling. The more I read and learn about it – on top of what I have already learned and used -, the more sense it all…