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Toolkit for implementing question answering systems and machine translation in both controlled languages and natural languages. Includes first order logic inference, parsing and semantic analysis, and APIs and standalone server software. Currently some t
mbFuzzIT enables the work with Fuzzy technology (fuzzy inference / fuzzy logic) in Java.
In order to facilitate the creation of the inference mechanisms, mbFuzzIT containts a visual editor.
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Pödznsatch is a open and distributed hypergoogle of love. It is a semantic web application for social networking, word-of-mouth analysis and profiling. The Pödznsatch architecture includes a bot crawler, an inference engine and a query interface.
Java/XML toolkit for research using Bayesian networks and other graphical models of probability (exact and approximate inference, structure learning, etc.)
RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.
Implemented in Flora-2/XSB, F-OWL is an inference engine for the standard Web Ontology Language OWL. A set of Java API is provided for applications to assert and query OWL ontology statements.
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.
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UGLi ML: The Undirected Graphical Library for Machine Learning. Easy, agile learning and inference from structured/relational data using Markov Networks and Conditional Random Fields.
We propose a native RDF repository, System Π, to pursue a better tradeoff among the system scalability, the query efficiency, and the inference capabilities.
Green cloud: A versatile sensor based precision agriculture system, in
In Green Cloud here is a central global server which does the work of global database management along with providing complex analysis services for the users (farmers, scientists) through the client machines and the public access web portal. The existing agricultural databases throughout the world can also be used for inference purposes and their data may also be updated by our server. The meteorological servers can be accessed for climate data.This server-client architecture mandatory in present and even near-future circumstances as the client machine has to be low-power and low-cost for the feasibility of the system in Indian context. Therefore, the complex analysis (Expert system analysis in accordance with world-wide data) has to be done on server.
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