Group items tagged

Thoora's secret sauce lies in our unique combination of human and machine. While our patented semantic aggregation engine delivers quality content, we then put you in the driver's seat, giving you the tools to refine, re-order and prioritize. The result? Human-perfected, living bodies of knowledge that are always fresh and relevant.

WordNet® is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet's structure makes it a useful tool for computational linguistics and natural language processing.

Google Image Swirl organizes image search results based on their visual and semantic similarity and presents them in an intuitive exploratory interface.

Liquid Information is about giving you smoother information systems, focusing on how we interact with text.

An RDF browser, written by Tim Berners-Lee and the Tabulator team- Available online, as FF extrension or Opera Widget

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This is a BETA implementation of an XSLT file to transform and hCa* encoded XHTML file into the corresponding vCard/iCalendar file. The DRAFT specification for hCa* encodings can be found at the Technorati Delevoper Wiki.

PingtheSemanticWeb.com is a web service archiving the location of recently created/updated RDF documents on the Web. If one of those documents is created or updated, its author can notify PTSW that the document has been created or updated by pinging the service with the URL of the document.

drag and drop search terms to include in results - cute video for kids

It supports investigation into the relationship between how words are used within the messages of all the people using Twitter. the data is retrieved a Venn Diagram is shown which illustrates the rate of tweets containing the search terms in the various combinations. 

provides immediate access to facts. It visualizes facts as well as relationships between facts. You can also collect, process and publish bits of information. Currently processes the English and German Wikipedia as well as MEDLINE/PubMed. \n\nOur approach is inspired by current research results from cognitive science, computational linguistics and neurobiology. We aim at radically improving the way users interact with knowledge and information online. Recent studies show that human thought processes have a strong visual component and that the brain can process images significantly faster than textual information. We are convinced that it is time for innovative, interactive, visual methods of working with and discovering facts and information instead of wading through ever longer lists of documents and search results. \n

Faviki is a social bookmarking tool that lets you use Wikipedia concepts as tags. Faviki allows you to keep your own tags and connect them to common, universal concepts from the world's largest collection of knowledge!