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.
Linked Data is a method to publish data on the Web and to interlink data between different data sources. Linked Data can be accessed using Semantic Web browsers, just as traditional Web documents are accessed using HTML browsers. However, instead of following document links between HTML pages, Semantic Web browsers enable surfers to navigate between different data sources by following RDF links. RDF links can also be followed by robots or Semantic Web search engines in order to crawl the Semantic Web. See Linked Data - The Story so far and How to publish Linked Data on the Web for more information about Linked Data.
As with any Web Services framework, SADI can expose any source of dynamically-generated information. In most cases this means Web-based analytical algorithms, but any source of data would be applicable - including robots, or even distributed human curators. Because SADI Services are stateless and atomic, Web Services that expose a set of stateful object methods cannot easily be exposed as SADI Services (though in many cases these services could be re-written to follow SADI conventions, and take advantage of the added semantic behaviours). Our observations suggest, however, that almost all services currently available in the bioinformatics space have a SADI-like behaviour that easily maps onto the SADI conventions.
Semantic Web Search Engines
This page collects links to Semantic Web Search Engines. Semantic Web Search Engines use robots to crawl RDF data from the Web and provide search and navigation facilities over crawled data.
The page is part of the community project [[SweoIG/TaskForces/CommunityProjects/LinkingOpenData|]]