Concept Sequencing

The Open Skills Management Tool (OSMT) makes it possible for employers, educators, military, and other stakeholders to create and share open skills libraries. OSMT advances skills-based education and hiring.

This document describes the Rich Skill Descriptor (RSD) class and how RSDs should be published for compatibility with services that process machine readable representations of skills and competencies. Each RSD is primarily identified by a canonical URL and consists of a skillStatement and supporting metadata to identify alignment to other skills or job categories.

Taxonomy Planning, Taxonomy Management, Metadata Governance—these expressions have been very commonly used recently. But when one asks what these mean,

Skillabi shows how the skills you teach align with the skills employers want so you can optimize curriculum to meet the evolving needs of learners.

Behold postsecondary syllabi: descending from the Latin word for “list” and the Ancient Greek “sittybos” for a descriptive label for a

powered by Sounder Kelly Ryan Bailey, Global Skills Evangelist at Emsi, a labor market analytics firm, joined the Enrollment Growth University podcast to talk about forging new partnerships with local employers by creating a shared skills language between us. “Skillifying” Education Employers typically need to move a lot faster than traditional higher education can go. …

It’s time for people, education, and work to speak the same language: Lightcast Skills.

Semantic interoperability is a challenge in AI systems, especially since data has become increasingly more complex. The other issue is that semantic interoperability may be compromised when people use the same system differently.

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 »

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.

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 ...

Uncertainty quantification (UQ) plays a pivotal role in reduction of uncertainties during both optimization and decision making processes. It can be applied to solve a variety of real-world...