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Here, we present a computational model that learns structures of many different forms and that discovers which form is best for a given dataset. The model makes probabilistic inferences over a space of graph grammars representing trees, linear orders, multidimensional spaces, rings, dominance hierarchies, cliques, and other forms and successfully discovers the underlying structure of a variety of physical, biological, and social domains. Our approach brings structure learning methods closer to human abilities and may lead to a deeper computational understanding of cognitive development.

Yahoo! GeoPlanet helps bridge the gap between the real and virtual worlds by providing an open, permanent, and intelligent infrastructure for geo-referencing data on the Internet. In practical terms, Yahoo! GeoPlanet is a resource for managing all geo-permanent named places on Earth. It provides the geographic developer community with the vocabulary and grammar to describe the world's geography in an unequivocal, permanent, and language-neutral manner. Developers can geo-enable their applications by using GeoPlanet to traverse the global spatial hierarchy, identify the geography relevant to their users and their businesses, and in turn, unambiguously geotag, geotarget, and geolocate data across the Web.

Welcome to Phrase Detectives Lovers of literature, grammar and language, this is the place where you can work together to improve future generations of technology. By indicating relationships between words and phrases you will help to create a resource that is rich in linguistic information.

LT4eL (Language Technology for e-Learning) develops a framework of multilingual language technology tools and semantic web techniques for improving the retrieval and the metadata annotation of learning material.