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The Fiber project seeks to create a modular open source text mining tool that provides a contextual foundation for analysis in the dissemination of large quantities of text data.
SONIVIS:Tool aims at analysing social (virtual) information spaces like Wikis. These spaces are investigated by using different network definitions (collaboration/information networks). Clustering algorithms and statistiscal analyses are provided.
T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for document classification, entity extraction and relation extraction.
NeuroEvolver is a tool for training and experimenting with one particular kind of recurrent neural networks, namely Long Short-Term Memory networks using an evolutionary learning method.
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The application Crimeblips provides up-to-date crime statistics for Berlin (Germany). It maps and visualizes crimes, allowing users to identify crime hot spots, trends and general patterns. Bayesian algorithms are used to extract relevant information.
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).
A real-time graph plotter. While your application is computing and logging results to a CSV file using the LiveGraph Writer API, the plotter lets you visualise and monitor the results live - by instantly plotting charts and graphs of the data.
The EventStream Experimenter Workbench is a data collection framework with integrated visualization techniques to facilitate eye tracking research. The software currently supports the ASL eye trackers.
x2svg is software to graphically lay out files like XML Schema, DTDs and Java property files as scalable vector graphics (SVG). Diagrams can be converted into PDF, PNG, TIF and EPS files directly from within x2svg. A simple GUI and ant integration exist.
LT4eL (Language Technology for e-Learning) develops a framework of multilingual language technology tools and semantic web techniques for improving the retrieval and the metadata annotation of learning material.
This Java project creates a testing environment application to analyze an image at its low level features and suggest tags to clasify it using an ontology search based on the tags of similar images.
TimeSleuth discovers temporal decision rules. It also judges the (a)causality of the rules. TimeSleuth can discover rules that involve time: {if (rainy_yesterday = true) then rainy_today = true}, or {if (rainy_tomorrow = true) then rainy_today = true}.
jDSM is a Java library for representing and analyzing Design Structure Matrices (DSM). It can be used to analyze any Java software with regards to modularity.
The aim of the project is to provide open source collection of algorithms in the field of spectroscopy: data handling and processing, modeling and artificial intelligence tools.
The Open Context Platform (OCP) is a middleware for building distributed, context-aware applications, is implemented in Java and allows to manage some contextual sources. Manage models ontology written in owl.
This Java project intends to implement a set of functions allowing a user to manipulate classical propositional logic statements and reason about their properties and connections.
A set of applications that can generate and tabulate paper surveys. Includes simple graphical programs for the common user. Has interchangeable back-end components for the enthusiast.
UDA stands for Universal Descriptive Algebra. It consists of a Java package handling universal algebras and relational structures as description systems.
SYRAH si propone di far emergere e rappresentare i concetti espressi per mezzo di un linguaggio naturale. SYRAH aims to discover and represent concepts expressed in natural languages. NLP, lemma, lemmario, italiano, rete, semantica, clustering, semantic
KNeTS (Knowledge Elicitation Tools) is a survey tool to create multi-agent models based on local knowledge using pattern analysis to identify rules that are iteratively validated with the informant. The final output is a knowledge-based multi-agent model