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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.
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.
A configurable knowledge management framework. It works out of the box, but it's meant mainly as a framework to build complex information retrieval and analysis systems. The 3 major components: Crawler, Analyzer and Indexer can also be used separately.
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Thea, Tools for High-throughput Experiment Analysis, is an integrated information processing system dedicated to the annotation of data issued from classification systems with biological information coming from a knowledge base.
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.
KF Checker is a tool for analysing Information Flow properties.
KF Checker infers information flow rules from source code.
The rules obtained in this way are used to create a theory which it then exploited to prove that information flow policies are respected.
fedg extracts knowledge and relevant events in chinese texts to generate Feature Event Dependency Graph.FEDG is a knowledge representation model,meaningful for latent knowledge discovery and efficient reasoning.
BaNU generates adaptable naive Bayesian networks from a database. The generated knowledge can be exported as Notation3 rules. Another feature is the ability to link with ILP systems such as Toplog and Aleph to find premises for the adaptable NBN's.
Interlogy - next generation knowledge storage and prezentation system. Gives wide functionality for knwoledge evaluation. Interlogy is the same as forum, wiki, chat, socialnetwork, but all together.
XMAS supports a new kind of “sit forward” time series microarray analysis through visual interaction and interoperable operators. Domain knowledge is integrated directly into the system to aid users in their analysis.