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The need University X is migrating its on premise data center to the cloud. Its current IT employees have no cloud experience and need to be upskilled in order to stay relevant to the organization and its needs. Without this, X will need to recruit other people and let their current employees go...

By Rob Hill, CRO at ProFinda Can a Machine Learning powered Knowledge Graph transform Talent Acquisition? The true transformation of talent acquisition will only occur when we start to focus the power of Machine Intelligence on understanding and mapping out the knowledge contained within an organisation. This can be achieved by building a knowledge graph of … The power of Machine Learning to drive Talent Acquisition Read More »

Net Capital Instructions: Once your offering is live, 1st round of edits are free. Additional edits are 300$ per round. Page re-designs $1,000. What is an offering page? The investor facing piece that will publicly available on Netcapital.com Who writes the content? You do! Not to worry, we’re ...

PDF | This paper proposes an auto-tagging methodology using tags defined in the ontology. The auto-tagging methodology consists of two main processes:... | Find, read and cite all the research you need on ResearchGate

Current efforts establishing semantic metadata standards for the built environment span academia, industry and standards bodies. For these standards to be effective, they must be clearly defined and easily extensible, encourage consistency in their usage, and integrate cleanly with existing industrial standards, such as BACnet. There is a natural tension between informal tag-based systems that rely upon idiom and convention for meaning, and formal ontologies amenable to automated tooling. We present a qualitative analysis of Project Haystack, a popular tagging system for building metadata, and identify a family of inherent interpretability and consistency issues in the tagging model that stem from its lack of a formal definition. To address these issues, we present the design and implementation of the Brick+ ontology, a drop-in replacement for Brick with clear formal semantics that enables the inference of a valid Brick model from an informal Haystack model, and demonstrate this inference across five Haystack models.

2U is acquiring edX for $800M, and edX will no longer be a nonprofit.

Tag recommender schemes suggest related tags for an untagged resource and better tag suggestions to tagged resources. Tagging is very important if the user identifies the tag that is more precise to ...

Knowledge visualization refers to a visual approach to creating and sharing knowledge. Learn about the benefits of knowledge visualization.

The use of visual models such as pictures, diagrams and animations in science education is increasing. This is because of the complex nature associated with the concepts in the field. Students, especially entrant students, often report misconceptions ...

Visualizing text is a proven way to improve reading comprehension using this simple, step-by-step strategy from literacy consultant Cathy Puett Miller.

Learn how NASA uses Neo4j to develop a knowledge graph as part of its knowledge architecture to analyze lessons learned and save astronauts' lives.

R package for web-based interactive topic model visualization. - GitHub - cpsievert/LDAvis: R package for web-based interactive topic model visualization.

R package for web-based interactive topic model visualization. - GitHub - cpsievert/LDAvis: R package for web-based interactive topic model visualization.