1 / 14

SEMANTIC WEB

SEMANTIC WEB. Sig.ma and Sindice , Open Calais , Schema.org. Presentation by: Nosharwan Arbab Abbasi New Media Communication University of China. Sig.ma and Sindice.

riva
Télécharger la présentation

SEMANTIC WEB

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. SEMANTIC WEB • Sig.ma and Sindice , Open Calais , Schema.org Presentation by: NosharwanArbabAbbasi New Media Communication University of China

  2. Sig.ma and Sindice • Sig.ma is a advanced application implemented on top of Sindice which gives a very visual and interactive access to the “Web of Data” as a whole.  • In Sig.ma, elements such as large scale semantic web indexing, logic reasoning, data aggregation heuristics, pragmatic ontology alignments and, last but not least, user interaction and refinement, all play together to provide entity descriptions which become live, embeddable data mash ups. • Video

  3. Sindice • Sindice is a lookup index for Semantic Web documents. Sindice indexes the Semantic Web and can tell you which sources mention a resource URI, IFP, or keyword. Sindice does not answer triple queries. You can use Sindice in your application to find relevant RDF sources. • Millions of websites mark up their content using RDF, Microformats, Microdata, Schema.org, RDFa, Opengraph and more. Sindice helps you find, understand and integrate with their content. • Examples of such information types are contacts, events, social networks, web polls, reviews, and hundreds of other domain specific entities.

  4. Open Calais • Open Calais from Reuters is a web service that automatically attaches rich semantic metadata to the content you submit. Using natural language processing, machine learning and other methods, Calais categorizes and links your document with entities (people, places, organizations, etc.), facts (person ‘x’ works for company ‘y’), and events (person ‘z’ was appointed chairman of company ‘y’ on date ‘x’). The metadata results are stored centrally and returned as RDF constructs.

  5. All thought originally intended to be read by humans, a key observation of Reuters is that many of the consumers of their news items are no longer people, but instead computers. • Computers are reading the news flowing out of Reuters, analyzing it and producing summaries, reading lists, financial investment advice, etc.

  6. Open Calais • Calais is a rapidly growing toolkit of capabilities that allow you to readily incorporate state-of-the-art semantic functionality within your blog, content management system, website or application.

  7. Schema.org • This site provides a collection of schemas, i.e., html tags, that webmasters can use to markup their pages in ways recognized by major search providers. Search engines including Bing, Google, Yahoo! rely on this markup to improve the display of search results, making it easier for people to find the right web pages.

  8. Many sites are generated from structured data, which is often stored in databases. When this data is formatted into HTML, it becomes very difficult to recover the original structured data. Many applications, especially search engines, can benefit greatly from direct access to this structured data.

  9. Summry • Semantic web technologies are being used in a wide variety of application, from powering websites to making it easier or search engine to understand the content of web pages. • I key idea in all of these application is that common ontologies provide a basis for integrating and understand knowledge from multiple sources.

  10. End

More Related