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Metatagging Editor for Learning Object Metadata (IEEE's LOM)
Lompad is a metatagging tool for learning object.
It supports the IEEE-lom spec and SCORM, CANCORE and Normetic profiles.
The interface is available in French, English and Spanish
Consult the project's Web Site for more information.
This is a Java API binding of the IEEE LTSC LOM (Learning Object Metadata) specification. It defines an implementation neutral Java interface for the LOM, as well as providing a default implementation of that interface, and XML marshalling functionality
A metadata schema registry server in Perl/C (based on RDF and Sparql/Redland), alongside a GUI client in Java/SWT with Jena for searching, browsing and creating application profiles, schemas and element sets describing resources in Dublin Core and LOM.
PALOMA Suite allows the referencing of learning resources using metadata according to the international IEEE LOM standard, and SCORM, CANCORE and Normetic application profiles. PALOMA Suite contains: PALOMA (Standard), PALOMAWeb and PALOMARepository.
PRTG Catches Network Issues Before They Cause Downtime
Threshold-based alerts flag problems early, so your team can act before users notice, not after.
Reactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
SCAM is a development environment for building metadata stores for RDF and the Semantic Web. SCAM is built upon international technology standards and metadata standards. Such as RDF, Dublin Core, IEEE/LOM and IMS.
PlanetDR is an open source Content repository developed under the umbrella of the spanish research project PLANET.
PlanetDR supports standards such as IEEE LOM, IMSCP, IMSDRI and LORI SQI.