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ConceptNet 5

ConceptNet 5
About ConceptNet ConceptNet is a semantic network containing lots of things computers should know about the world, especially when understanding text written by people. It is built from nodes representing concepts, in the form of words or short phrases of natural language, and labeled relationships between them. These are the kinds of things computers need to know to search for information better, answer questions, and understand people's goals. ConceptNet contains everyday basic knowledge: You would learn because you want knowledge.

http://conceptnet5.media.mit.edu/

Related:  Flow Based Programmingpierre02SEMANTIC DESKTOPSemantic (web)

VPL Introduction Microsoft Visual Programming Language (VPL) is an application development environment designed on a graphical dataflow-based programming model. Rather than series of imperative commands sequentially executed, a dataflow program is more like a series of workers on an assembly line, who do their assigned task as the materials arrive. As a result VPL is well suited to programming a variety of concurrent or distributed processing scenarios. WordNet documentation - WordNet - WordNet documentation See a glossary of WordNet terms for an explanation of some terminology The WordNet Reference Manual is provided in the form of Unix-style manual pages. Manual pages are available here, online, and are included in the various WordNet packages.

CALO CALO was an artificial intelligence project that attempted to integrate numerous AI technologies into a cognitive assistant. CALO is an acronym for "Cognitive Assistant that Learns and Organizes". The name was inspired by the Latin word "calonis," which means "soldier’s servant". The project started in May 2003 and ran for five years, ending in 2008. CALO was funded by the Defense Advanced Research Projects Agency (DARPA) under its Personalized Assistant that Learns (PAL) program.[1][2] DARPA's five-year contract brought together over 300 researchers from 25 of the top university and commercial research institutions, with the goal of building a new generation of cognitive assistants that can reason, learn from experience, be told what to do, explain what they are doing, reflect on their experience, and respond robustly to surprise.

UIMA - Standard for unstructured information UIMA is a component software architecture for the development, discovery, composition, and deployment of multi-modal analytics for the analysis of unstructured information and its integration with search technologies developed by IBM. The source code for a reference implementation of this framework has been made available on SourceForge, and later on the website of the Apache Software Foundation. Another use of UIMA is in systems that are used in medical contexts to analyze clinical notes, such as the Clinical Text Analysis and Knowledge Extraction System (CTAKES). Structure of UIMA[edit] The UIMA architecture can be thought of in four dimensions: IBM Watson - The Jeopardy Challenge[edit]

Cyc The project was started in 1984 by Douglas Lenat at MCC and is developed by the Cycorp company. Parts of the project are released as OpenCyc, which provides an API, RDF endpoint, and data dump under an open source license. Overview[edit] The project was started in 1984 as part of Microelectronics and Computer Technology Corporation. Flowlab resources Video Tutorials Step by step demonstration of creating a simple game with flowlab. Getting Started with the Game Builder Step by step introduction to using Flowlab. OpenIRIS OpenIRIS is the open source version of IRIS, a semantic desktop that enables users to create a "personal map" across their office-related information objects. The name IRIS is an acronym for "Integrate. Relate. Infer. Share."

Category:Data management From Wikipedia, the free encyclopedia Data management comprises all the disciplines related to managing data as a valuable resource. Subcategories This category has the following 35 subcategories, out of 35 total. Pages in category "Data management" The following 200 pages are in this category, out of 284 total. What is AudioMulch? AudioMulch is an interactive musician's environment for PC and Mac. It is used for live electronic music performance, composition and sound design. AudioMulch allows you to make music by patching together a range of sound producing and processing modules. Unlike some patcher-based programming environments, AudioMulch's modules perform high-level musical functions, so you don't have to create things from the ground up using individual oscillators and filters. AudioMulch is designed for live performance and improvisation - you can process live audio sources and control every knob and slider on the user interface using a MIDI controller. Learn more about AudioMulch's capabilities below...

Topic Maps Topic Maps is a standard for the representation and interchange of knowledge, with an emphasis on the findability of information. Topic maps were originally developed in the late 1990s as a way to represent back-of-the-book index structures so that multiple indexes from different sources could be merged. However, the developers quickly realized that with a little additional generalization, they could create a meta-model with potentially far wider application. The ISO standard is formally known as ISO/IEC 13250:2003.

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