Le Corail de Darwin - Welcome. Edge.org. The phrase "news that stays news" was originally how Ezra Pound, in 1934, defined literature—and so it's interesting to contemplate what, in the sciences, might meet that same standard.
The answer might be the emerging science of literature itself. Thinking about the means by which language works on the mind, Pound described a three-part taxonomy. First is phanopoeia—think "phantoms": the images that a word or phrase conjures in the reader's mind. Pound's own "petals on a wet black bough" is a perfect illustration. This, he says, is the poetic capacity most likely to survive translation. Third and most enigmatic is a quality Pound called logopoeia, and described as "akin to nothing but language," "a dance of the intelligence among words. " Logopoiea proves to be one of the most dazzling of poetic effects—see, for instance, the contemporary poet Ben Lerner, who writes lines like “a beauty incommensurate with syntax had whupped my cracker ass”—but also the most fragile. Semantic Technology Research Projects - Ontotext. Semantic Annotation - Tag Metadata in Text - Ontotext. Semantic annotation is the process of attaching additional information to various concepts (e.g. people, things, places, organizations etc) in a given text or any other content.
Unlike classic text annotations for reader’s reference, semantic annotations are used by machines to refer to. When a document (or another piece of content, e.g. video) is semantically annotated it becomes a source of information that is easy to interpret, combine and reuse by our computers. If you are looking to provide high-quality content at low costs you should read our white paper on Dynamic Semantic Publishing. Create Smart Content with Machine-Processable Marginalia Think of semantic annotations as a sort of highly structured digital marginalia, usually invisible in the human-readable part of the content. How Does Semantic Annotation Work? Semantic annotation enriches content with machine-processable information by linking background information to extracted concepts. Folksonomy. Hey Zuck, We Built Your Office A.I. Solution - Algorithmia. Like many, we were pretty inspired by Mark Zuckerberg’s 2016 personal challenge to build some artificial intelligence tools to help him at home and work.
We spend a lot of time at Algorithmia helping developers add algorithmic intelligence to their apps. So, with a hat tip to Zuck, we recently challenged ourselves to see what kind of A.I. solution we could come up with during a recent internal hackathon. UPDATE (12.29.16): Zuckerberg made good on his 2016 personal challenge in a post where he details how he built an AI assistant to control aspects of his home, like the lights, temperature, appliances, music and security, what he learned over the 100-150 hours spent working on it, and what’s next for his AI assistant. Module3 crowdsourcing. Refs. Image 2016-12-28 at 5.13.08 AM.png. SA systems pre print lundberg.
4. 1. Module 2 advanced jape. Module 2 jape. Module 1 ie and eval. Module 1 introduction to gui. An Error Has Occurred! Marine Metadata Interoperability. ESIP Community Ontology Repository (portal 3.1.3) Welcome to the NCBO BioPortal. NCBO's BioPortal. Overview BioPortal is an open repository of biomedical ontologies, a service that provides access to those ontologies, and a set of tools for working with them.
BioPortal provides a wide range of such tools, either directly via the BioPortal web site, or using the BioPortal web service REST API. BIoPortal also includes community features for adding notes, reviews, and even mappings to specific ontologies. BioPortal is the work of the National Center for Biomedical Ontology (NCBO), a center initially supported by the National Institutes of Health.
There are a number of different web sites associated with BioPortal: BioPortal is also on social media! Products BioPortal has four major product components: the web application; the API services; widgets, or applets, that can be installed on your own site; and a Virtual Appliance version that is available for download or through Amazon Web Services machine instance (AMI).
Marine Metadata Interoperability. Marine Science and the Semantic Web MMI has long considered a semantic component critical to enabling the highest levels of data interoperability.
To that end, MMI has developed a set of guidance documents, worked with the marine science community to establish a set of best practices, and developed tools to allow users to work with semantic technologies without becoming bogged down in the intricacies of the semantic web. The resulting Semantic Framework will facilitate data interoperability in the marine science community while providing linkages to the broader semantic web. This page introduces MMI's Semantic Framework development efforts and includes links to relevant documentation, guidance, tools, and presentations that have been created by and for the various communities that collaborate and support MMI's Semantic Framework. We would love to have feedback on any of the information presented here. -- MMI Team New to Semantics? Basic Semantic Framework Resources MMI Guidance.