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The Rule Based Service Level Agreement (RBSLA) project focuses on knowledge representation concepts for service level management of IT services. At the core are rule-based languages to describe contracts and service level agreements in a formal way.
This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
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SIES is a forward-chaining rule engine server. Clients connect to update a global knowledge-base and/or can register to be notified when specified elements are inferred. Local access for a client's own inferences is also possible.
Hollaka Hollala is a chatbot engine and IRC bot. The chatbot engine uses a knowledge base organized in an XML file and WordNet for dictionary lookup. The IRC Bot has some WordNet- and Web-based functionality and is hot-extensible through Ruby programs.
A Prolog expert system supporting querying and extending the knowledge base from a command-line interface using a format oriented on natural language, with the aim of being maintainable by the domain expert (i.e. without requiring programming skills).
Jait is an artificial inteligence toolkit. It provides basic methods and techniques as well as a framework for decision support and expert systems. It's mission is to develop a reliable and efficient knowledge representation method.
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SENTENSA Knowledge Miner is a platform independent tool for searching any text. SENTENSA uses robust methods of indexing and searching text, leveraging on experience from more than 20 years of information retrieval.
PVN evaluates logical formula in a user defined n-valued semantics. Current efforts are aimed at fleshing out the port to GNU\'s prolog environment. Possible uses include embedding into a public domain knowledge base for a defeasible reasoning system.
Sakura is a Knowledge Navigator and User Interface for UNIX, which implements HyperMedia and its own windowing and packing system, both in the main program and in an extensive API for Tcl and other languages.
Knowledge Management System of China ,
Support Healthcare,Oil development, electric power etc. Knowledge Drived Industry.
Modeling driven,
Event driven ;
Open Source, Internationalization,
Algernon is a rule-based reasoning engine written in Java. It allows forward and backward chaining across Protege knowledge bases. In addition to traversing the KB, rules can call Java functions and LISP functions (from an embedded LISP interpreter)
Talk Agent Project is creating a framework that allows developers to create inteligent agents which accept commands in natural language (English). Software agents are created by adding new ontologic knowledge and software components to the framework.
...Components perform their specific tasks and may contribute information to an artificial intelligence engine, from which all components may benefit from the accumulated knowledge.
Memento is a lightweight knowledge management system based on the theory of memes. Use it to store what you've learnt, then use its weblog-style publishing facility to share what you know.
HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.
Project IAI (Internet Artifical Intelligence) intends to use the medium of the internet and forum based communities, to provide an interaction and knowledge source for an AI (though a large number of interactions), which has the ability to respond not on
The DragonBreath Engine is a constraint solver based on local search. It features real-time computation, handling of dynamics, structural constraint satisfaction, and an easy way to include domain-specific knowledge.
The Intellectually Expandable Online Knowledge Base will communicate to users via the AOL instant messenger protocols (TOC) over AIM. This "bot" will learn as much as it can about various subjects over time.
The Prolog Expert System Shell (PESS) is a software that generates ES using basically two components: Knowledge Base, used by the ES to guide its decisions making, and Inference Machine, cable of collection the rules and generating new facts.
This is one approach to implementing the ideas discussed as the Public Domain Knowledge Base.
Originally coded by Stephen Reed before joining Cycorp and currently maintained by Vic Bancroft. The next release with contributions made here will be versio