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Generator for textual models by applying different techniques
This is a project created and supported by:
Angel Castellanos
Juan Cigarrán Recuero
Ana García Serrano
This projects allows the modelling of textual contents by applying different techniques:
TF-IDF
KLD
Mutual Information
Chi^2
With this application the users can be able to extract the most representative terminology of a textual collection.
The application is Java-based, allowing their execution in several platforms and operative systems (Windows, Linux, MacOS).
RDF-DocMan is a document manager based on a Sesame (RDF repository) backend. Documents are stored in the filesystem and their metadata in a Sesame repository.
It was developed for porQual web content generator (also in sf.net).
SSG-Generator (formerly Scheduled Sequencing Graph Generator) is a simple, open-source, academic software written to understand fundamentals of High Level Synthesis of system design.
Docgen plugin for Protege provides a quick export of all the content of an ontology (classes, instances and documentation) in various formats (html, pdf, fo...). Images, Graphs, URL are readyly included in reports.
The CHIP Cluster Generator attempts to create spatio-temporal cluster data in an automated fashion to help evaluate epidemic detection software. The spatio-temporal data will then be used to determine robustness of spatial detection algorithms.
Sight provides a friendly interface to create and connect agents for bioinformatics. The workflow supports multiple responses to a single request, structure transforms, filters and request history access.Can talk with ordinary http servers (get and post)