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Decentralized Information Group MIT Computer Science and Artificial Intelligence Laboratory

Overview When people communicate, they rely on a large body of shared common sense knowledge in order to understand each other. Many barriers we face today in artificial intelligence and user interface design are due to the fact that computers do not share this knowledge. To improve computers' understanding of the world that people live in and talk about, we need to provide them with usable knowledge about the basic relationships between things that nearly every person knows. In 1999, we began a project at the MIT Media Lab to collect common sense from volunteers on the internet. Ten years later our project has expanded to encompass many different areas, languages, and problems. Currently, the English site has over a million sentences from over 15,000 contributors.

Create autonomous systems including interactive physical robots and synthetic characters in virtual worlds that learn to communicate in human-like ways; (2) Understand how children learn to communicate through longitudinal in vivo observation and analysis; (3) Develop tools for visualizing, searching, and analyzing large corpora (e.g., video) using task-dependent semantic models.

This is an open-source "spin-off" from the Simile project at MIT. Here we offer free, open-source web widgets, mostly for data visualizations. They are maintained and improved over time by a community of open-source developers.

"Solid is an exciting new project led by Prof. Tim Berners-Lee, inventor of the World Wide Web, taking place at MIT. The project aims to radically change the way Web applications work today, resulting in true data ownership as well as improved privacy."

Semantic Web Application Platform - SWAP or, if you like, Semantic Web Area for Play... visiting RDF and all points west. working toward the SWELL langauge, MIT-LCS's advanced development prototyping of tools and langauges for the Semantic Web.

H-Store is an experimental main-memory, parallel database management system that is optimized for OLTP applications. It is a highly distributed, row-store-based relational database that runs on a cluster on shared-nothing, main memory executor nodes. The H-Store project is a collaboration between MIT, Brown University, Yale University, and HP Labs.

SIMILE is focused on developing robust, open source tools that empower users to access, manage, visualize and reuse digital assets.

The User Interface Design group develops and studies new user interface techniques, primarily focusing on the following areas.

Our goal is to make it easier for people to collect, organize, find, visualize, and share their information. We are an interdisciplinary group of researchers blending approaches from human-computer interaction, social computing, databases, web infrastructure, information retrieval, artificial intelligence and the semantic web.

Based at MIT's Computer Science and Artificial Intelligence Laboratory, the Decentralized Information Group is led by Tim Berners-Lee, inventor of the World Wide Web. DIG's members include leaders in technology and public policy, including the White House CTO for Internet Policy Danny Weitzner.   DIG's work is closely coordinated with the activities of the World Wide Web Consortium, the international standards-setting organization for the Web.

Founded by MIT graduates and computer science researchers, Locu is creating the world's largest semantically-annotated repository of real-time small-business data. We are excited to have the support and backing from a group of acclaimed angel investors and early-stage funds.

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:

The Open Mind Initiative is a novel world-wide collaborative effort to develop 'intelligent' software. Open Mind collects information from people like you -- non-expert 'netizens' -- in order to teach computers the myriad things which we all know and which underlie our general intelligence but which we usually take for granted. Current computers are notoriously poor in these areas. You can participate by answering questions, contributing data, and playing games online. In this way, you and millions of others help us create 'intelligent' software, made available to all.

ConceptNet aims to give computers access to common-sense knowledge, the kind of information that ordinary people know but usually leave unstated. The data in ConceptNet is being collected from ordinary people who contributed it on sites like Open Mind Common Sense. ConceptNet represents this data in the form of a semantic network, and makes it available to be used in natural language processing and intelligent user interfaces.