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How NASA is using knowledge graphs to find talent
How NASA is using knowledge graphs to find talent
His team is building a talent mapping database using Neo4j technology to build a knowledge graph to show the relationships between people, skills, and projects. VentureBeat: How are you using those categories to build a data model? Those elements consist of knowledge, skills, abilities, tasks, workforce characteristics, licensing, and education. And it’s similar for programs: we can connect back to what knowledge, skills, and tasks a person needs for each project. Within a graph database or knowledge graph, you can easily add information as you get it without messing up your schema or your data model.
·startuparound.com·
How NASA is using knowledge graphs to find talent
Privacy error
Privacy error
David Meza, senior data scientist at NASA, and his team are building a talent mapping database to better identify talent for jobs.
·venturebeat.com·
Privacy error
Universal Wallet 2020
Universal Wallet 2020
This specification describes a portable, extensible, JSON-LD wallet, supporting digital currencies and credentials.
·w3c-ccg.github.io·
Universal Wallet 2020
A Framework for Quantification of Linkability Within a Privacy-Enhanci
A Framework for Quantification of Linkability Within a Privacy-Enhanci
Within a privacy-enhancing identity management system, among other sources of information, knowledge about current anonymity and about linkability of user’s actions should be available, so that each user is enabled to make educated decisions about performing...
·link.springer.com·
A Framework for Quantification of Linkability Within a Privacy-Enhanci
Ontology
Ontology
·gobekli.io·
Ontology