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A framework for transferring implicit or tacit knowledge between members of a community. It works by observing the behavior of community members, and providing them with suggestions from other community members based on their past behavior.
A platform for setting up autonomic services in a distributed environment. Provides service discovery, service provisioning / usage, autonomic adaptation to the context, mobility, support for supervision and service aggregation, and more.
The Duine Framework allows one to develop prediction engines for recommender systems. It contains a set of prediction techniques, a way to combine these techniques and a profile manager. The framework has a plug-in architecture, allowing customization.
CherBot is an information bot for Crossfire, Daimonin and good old plain IRC that keeps track of which players collect which items, who's been online, determines a level ranking, provides a mail system for mailing offline players, manages clans and
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Java package to study a clustering model described in the paper \"Novel Clustering Algorithm Based Upon Games on Evolving Network\" by Q. Li, Z. Chen, Y. He and J-P. Jiang (in arxiv: http://arxiv.org/pdf/0812.5064v1), generalizations and similar issues.
This article talks about how to create a chatterbot that can serve as an interactive help agent. The bot has been "taught" to answer FAQs about a system. It can help solve petty issues for users quickly or point them to a human agent.
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VINE is a vocabulary Integration Environment Tool, developed at MMI. It allows to create fast mappings and alignments from ontologies in OWL. VOC2OWL is a tool to create ontologies from ASCII files. They are both JAVA based and are delivered as a Rich Cl
proGPUKLT is a library for the Processing programming language and environment that wraps a GPU-implementation of the Kanade-Lucas-Tomasi feature tracker used for computer vision applications.
Java API for implementing any kind of Genetic Algorithm and Genetic Programming applications quickly and easily. Contains a wide range of ready-to-use GA and GP algorithms and operators to be plugged-in or extended. Includes Tutorials and Examples.
A text to speech converter which will be able to read any document(Presently it is reading text and .doc files).The main aim of the project is to make reading an interesting task and assist BLIND people.
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.
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.
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.
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.
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.
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).
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.