MOHO: Knowledge Discovery Platform
On May 4, OIT hosted an information session for invited staff and faculty. Under the working banner of the Digital Integrity (DI) Lab, a collaboration between the Office of Information Technology and the School of Interdisciplinary Studies, Rebekah Nix, Christine Maxwell and Corinne Griffin introduced Educational Applications of the MOHO Knowledge Discovery Platform. Short for Mohorivicic Discontinuity – which marks the transition zone between the earth’s solid crust and molten mantle – the name ‘MOHO’ suits the software as it represents a significant enabling technology expected to realize a seismic shift in digital discovery. The DI Lab has a pre-release, limited use license to MOHO, which is why you won’t find it on Google. Still in beta, several small-scale use cases are being implemented now to develop ‘best practice’ recommendations for academic/scientific applications at UTD.
MOHO enables everyday users to securely reach, find, analyze and monitor their data – without having to become a data scientist. Virtual consolidation offers a single, continuous information view across data ‘silos’. MOHO is not a Q/A system; it uses natural language processing and a Bayesian inference network to extract concepts – in context – from machine-readable information that’s indexed on-the-fly. The results are displayed graphically and update automatically as you iteratively explore the information relationships. It’s important to know that MOHO’s intuitive Graphical User Interface (GUI) can be decoupled from the powerful engine at the back-end. Also, it has a mature Application Programming Interface (API) that readily supports other applications and custom dashboards. And, MOHO can provide real-time, truly distributed alerting – which is a big advantage over other options available today.
Take a virtual tour via the presentation archive available athttps://youtu.be/tafzAgvqekA.