研究 Semantic MediaWiki 的網站特色、架設及維護

• 9:00- 抽空進行
• Semantic Web
• Semantic MediaWiki
• Wiki (含有影片、影像、語音、表格、文字)
• Semantic_triple 
• subject–predicate–object expressions (e.g. "Bob is 35", or "Bob knows John").
• This format enables knowledge to be represented in a machine-readable way.
• RDFa (or Resource Description Framework in Attributes[1]) is a W3C Recommendation that adds a set of attribute-level extensions to HTML, XHTML and various XML-based document types for embedding rich metadata within Web documents. The RDF data-model mapping enables its use for embedding RDF subject-predicate-object expressions within XHTML documents. It also enables the extraction of RDF model triples by compliant user agents.The RDFa community runs a wiki website to host tools, examples, and tutorials.[2]
• WYSIWYM /ˈwɪziwɪm/ (an acronym for "what you see is what you mean") is a paradigm for editing a structured document. It is an adjunct to the better-known WYSIWYG (what you see is what you get) paradigm, which displays a formatted document on screen as it will appear in only one mode of presentation.In a WYSIWYM editor, the user writes the contents in a structured way, marking the content according to its meaning, its significance in the document, leaving its final appearance up to one or more separate style sheets. For example, in a WYSIWYM document a human being manually marks text as the title of the document, the name of a section, or the name of an author; this would in turn allow one element, such as section headings, to be rendered as large bold text in one style sheet, or as red center justified text in another, without further human intervention. This requires the semantic structure of the document to be decided on before writing it. The editor also needs a system for exporting structured content to generate the document's final format, following the indicated structure.The main advantage of this system is the total separation of presentation and content: users can structure and write the document once, rather than repeatedly altering it for each mode of presentation, which is left to the export system.
• Schema.org is an initiative launched on 2 June 2011 by Bing, Google and Yahoo![1][2][3] (then operators of the world's largest search engines)[4] to “create and support a common set of schemas for structured data markup on web pages.” In November 2011 Yandex (whose search engine is the largest one in Russia) joined the initiative.[5][6] They propose using the schema.org vocabulary along with the Microdata, RDFa, or JSON-LD formats[7] to mark up website content with metadata about itself. Such markup can be recognized by search engine spiders and other parsers, thus gaining access to the meaning of the sites (see Semantic Web). The initiative also describes an extension mechanism for adding additional properties.[8] Public discussion of the initiative largely takes place on the W3C public vocabularies mailing list.[9]Much of the vocabulary on schema.org was inspired by earlier formats such as Microformats, FOAF, and OpenCyc.[10] Microformats, with its most dominant representative hCard, continue (as of 2015) to be published widely in the Web, where the deployment of schema.org has strongly increased between 2012 and end 2014.[11]To test the validity of the data marked up with the schemas and Microdata, such validators as the Google Structured Data Testing Tool,[12] Yandex Microformat validator[13] and Bing Markup Validator[14] can be used.Some Schema markups such as Organization and Person are used to influence Google's Knowledge Graph results.[15]
• Wikidata is a collaboratively edited knowledge base operated by the Wikimedia Foundation. It is intended to provide a common source of data which can be used by Wikimedia projects such as Wikipedia,[2][3] and by anyone else, under a public domain licence. This is similar to the way Wikimedia Commons provides storage for media files and access to those files for all Wikimedia projects, and which are also freely available for reuse. Wikidata is powered by the software Wikibase.[4]Wikidata is a document-oriented database, focused on items. Each item represents a topic (or an administrative page used to maintain Wikipedia) and is identified by a unique number, prefixed with the letter Q—for example, the item for the topic Politics is Q7163. This enables the basic information required to identify the topic the item covers to be translated without favouring any language.Information is added to items by creating statements. Statements take the form of key-value pairs, with each statement consisting of a property (the key) and a value linked to the property.