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NaturalOWL generates descriptions of individuals and classes from OWL ontologies that have been annotated with linguistic and user modeling resources expressed in RDF. Currently it supports English and Greek. NaturalOWL can be used as a Protégé plugin.
Scan, the Semantic Content ANnotator, is a semantic pipeline that helps connecting information extraction tools to semantic database. UIMA-based, it allows easy plugin-writing: information extraction, ontology control, store in RDF Repositories.
ERepSim presents an agent-based cloud simulation environment integrating electronic institutions from multiagent research to simulate Internet-of-Services systems.
The aim of the project is to provide a testing tool that would reduce the cost associated with the regression testing process. The tool provides test case subset selection so that the user need not run the redundant test cases.
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OO jDREW is an open source deductive reasoning engine for the RuleML web rule language. OO jDREW implements the object oriented extensions to RuleML which include: Order Sorted Types, Slots, and Object identifiers.
WSMO Studio is a Semantic Web Service and Semantic Business Process modelling environment based on the Web Services Modelling Ontology (WSMO). WSMO Studio is available as a set of Eclipse plug-ins that can be extended and customised by 3rd parties.
ECSKernel is a multiagent coordination algorithm testbed, built on the RoboCupRescue disaster simulation platform. It is easily configurable and can be used with user-generated scenarios.
This project aims to develop a parser for Finnish. The parser and the system of grammatical competence assumed herein, are based on the minimalist theory of grammar (Chomsky 1995, 2005) and Bare Lexicon Hypothesis (Brattico, in prep).
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QuickAI (pronounced, "quickeye", or just "Quick" for short) is a return to the fundamental goals of creating an artificial intelligence. The priorities are to implement core models of knowledge and knowing, a reasoning engine, and a simple interface.
Provides a GUI interface to grammatical structure and relations (as parsed by the Stanford Parser) of any text.
Contains grammatical relation editor to modify, import, export grammatical relation definitions (tregex patterns and features).
Dataset Retrieval through Intelligent Agents (DARIA): is an Open Source project for facilitating the construction of ARFF data set files for use with WEKA or any such Machine Learning/Data Mining Software through the use of Intelligent Agents.
Virtual News Reader is a computer desktop application that can convert text (idealy for online news) into Virtual Voice and can be saved on computer. The project is using Java, (JSAPI), FreeTTS (Text-To-Speech synthesis), DJProject, Substance, & other.
TBLTools is a set of GATE processing resources that implements the Fast Transformation Based Learning Algorithm. You can train it to learn rules for NLP tasks such as Named Entity Recognition and Shallow parsing.
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.
Case Based Reasoning is a technology to make a similarity based selection from a predefined set of cases. Each case is defined by a set of features. After some cases are stored it is possible to perform a search by specifying search feature values.
Joone is a neural net framework written in Java(tm). It's composed by a core engine, a GUI editor and a distributed training environment and can be extended by writing new modules to implement new algorithms or architectures starting from base component
Meme is a multi-agent system. It aggregates literature information gathered from different sources into a viable format. It provides a visualization search and exports the literature information for users. It also integrates JADE and Nutch.
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.
TOAST (Trust Organisational Agent System Testbed) is a simulation framework used to evaluate and compare different trust models for agents embedded in organisational systems.