GIMI Mammography Ontology

Status: Alpha

Brought to you by: itoujilov, paul3548

1 Review

Downloads: 0 This Week

Last Update: 2013-04-19

Browse Code

Add to Preferred Sources

The project is devoted to development of logically rich ontology for mammography.

The development of the ontology was initiated in the Generic Infrastructure for Medical Informatics (GIMI), a project of the Technology Strategy Board of the UK.

Project Activity

See All Activity >

Categories

License

Academic Free License (AFL)

Follow GIMI Mammography Ontology

GIMI Mammography Ontology Web Site

Other Useful Business Software

PRTG Catches Network Issues Before They Cause Downtime Icon

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.

Download 30-Day Trial

Rate This Project

Login To Rate This Project

User Ratings

5.0 out of 5 stars

★★★★★

★★★★

★★★

★★

★

1

0

0

0

0

ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

Filter Reviews:

All

tfileme Posted 2013-05-10

Gimimammography works good.

1 user found this review helpful.

Read more reviews >

Additional Project Details

Intended Audience

Education, Healthcare Industry, Information Technology, Science/Research

Registered

2009-03-26

Report inappropriate content

$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.

Start Free

Recommended Projects

SmartSlog
SmartSlog (Smart Space Ontology) is a software/application development kit (SDK or ADK) for programming Smart-M3 agents (Knowledge Processors, KPs) that consume/produce smart space content according with its high-level ontological representation. SmartSlog applies the code generation approach: given an OWL ontology description, the ontology programming library is produced. The latter provides API to access the smart space via a Smart-M3 Semantic Information Broker (SIB) and data structures and functions to represent and maintain locally in KP code all ontology classes, relations, properties, and individuals. Since 2012 the project is supported by grant KA179 of Karelia ENPI programme, http://kareliaenpi.eu/ More information about project: http://oss.fruct.org/wiki/SmartSlog Smart-M3 on Wikipedia: http://en.wikipedia.org/wiki/Smart-M3
Arastreju
Arastreju is a Java based engine for ontology based information management.
DODDLE-OWL
a Domain Ontology rapiD DeveLopment Environment – OWL extension
Music Ontology tools
Some tools related to the Music Ontology - including domain-specific Semantic Web crawlers, audio collection management and mapping tools
CDM_Core
The CDM-Core ontology (CREMA Data Model - core module) is a manufacturing ontology, specialised in the two application sub-domains of 1) exhaust car manufacturing and 2) metallic press maintenance The CDM-Core ontology was developed by: Dr. Luca Mazzola, Msc. Patrick Kapahnke, Marko Vujic, and PD Dr. Matthias Klusch at the German Research Center for Artificial Intelligence DFKI GmbH (http://www.dfki.de ) in Saarbrücken, Germany. Copyright: DFKI, 2016, licence CC BY-SA see http://creativecommons.org/licenses/by-sa/3.0/ For bug reports, technical problems and feature requests please contact: Luca Mazzola: luca.mazzola@dfki.de or mazzola.luca@gmail.com Patrick Kapahnke: patrick.kapahnke@dfki.de