Search Results for "scientific"

The OpenHealhPractice Simulation Environment is a web framework intended to concurrently manage and launch generalized models. Models can be uploaded by the users and also can be connected to other models in order to simulate them in a row. These simulations are stored and can be reviewed or deleted at anytime. The Graphical Visualization Environment (GVE) provides the graphical visualization of the simulation results. Results can also be exported to different formats (xls, txt or...

IRSA is a toolkit for Information Retrieval Service Assessment. It builds upon the Grails Web Framework and is developed at GESIS. It implements two main functionalities: (1) A number of showcases that show the implemented services like a so-called Search Term Recommender and different science-model based ranking mechanisms and (2) an IR assessment module that let's one do an interactive evaluation of the retrieval services. All implemented services are available via well-documented...

The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu). NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.

NG4J - 'Named Graphs API for Jena' is an extension to the Jena Semantic Web framework for parsing, manipulating and serializing sets of Named Graphs. For details about Named Graphs see http://www.w3.org/2004/03/trix/

A translator that converts information models written in ISO-10303-11 EXPRESS to DAML+OIL/OWL (e2ont). The software extends the OSEXPRESS parser. DAML+OIL or OWL code is obtained using the Jena2 Semantic Web framework.

Web application providing analysis of biomedical relationships. Built using the Grails web application framework (http://grails.org/) with MySQL (http://www.mysql.com/) as a back-end datastore and utilizing R (http://www.r-project.org/) for statistical analysis. Developed by the Dana Farber Cancer Institute (http://compbio.dfci.harvard.edu/) and Entagen (http://www.entagen.com).