Semantic Technology
Eduworks semantic engine is part of this new wave of technology enablers, a wave that will change everything from training and education to health care and risk management.
At its core, Eduworks semantic engine is a large collection of algorithms for deconstructing documents and analyzing the meaning of text. Some of these algorithms are very simple and some are very sophisticated. Some apply probabilistic and machine learning techniques and others require pre-configuration with data about a specific domain of application. Altogether these algorithms can be combined and applied in many ways to automatically sort, classify and determine relationships among documents. They can be applied to automatically extract metadata or to automatically detect the various parts of structured or semi-structured documents such as resumes, RFPs, SOPs, regulations and scholarly articles.
Eduworks creates application-specific components around our semantic engine. We add functionality that manages the data structures relevant to the application and create APIs for embedding the component in products or SaaS solutions. For example, Eduworks competency engine uses semantic technology to match training records to competencies, manages competencies represented in IEEE 1484.20 format, and exposes APIs for ingesting data and reporting on matches. As another example, Metaglance uses the same semantic technology to extract metadata from documents and return it via a JSON web service call. These are examples of technologies that are “powered by Eduworks.”
Based on Science • Built by Engineers • Perfected by Designers • Powered by Eduworks