Until recently, it was not possible to incorporate full RDF into XHTML without violating the validity of the resulting XHTML, except for the usage of the meta and the link elements in the header. The best solution was to store the RDF separately and use the URIs to refer to the XHTML page and the link element in the XHTML page to refer to the RDF content. This technique is often called an RDF autodiscovery link and is used by a number of tools already. However, this has changed with the newer developements of GRDDL and of RDFa. The GRDDL provides a bridge to the microformats approach while RDFa provides an XHTML1.1 module that gives the possibility to use virtually any RDF vocabulary as annotations of the XHTML content, yielding RDF data.
he Semantic Web is about a web of data. The data itself can reside in databases, spreadsheets, Wiki pages, or indeed traditional web pages. The challenge is to develop tools that can export these data into RDF form: RDF plays the role of a common model, as a kind of a glue to integrate the data. That does not mean that the data must be physically converted into RDF form and stored in, say, RDF/XML. Instead, automatic procedures, for example SQL to RDF converters for relational databases, GRDDL processors for XHTML files with microformats, RDFa, etc, can produce RDF data on-the-fly as an answer to, eg, queries.
Both formalisms have their strengths and weaknesses; their area of usage is different. The two data models serve different constituencies and the choice really depends on the application. There is no better or worse; only different.
Not necessarily, at least not directly. The Semantic Web technologies may act behind the scenes, resulting in a better user experience, rather than directly influencing the look on the browser.
It is difficult to predict what a killer application is for a specific technology, and the prediction is often erroneous. That said, the integration of currently unbound and independent silos of data in a coherent application is certainly a good candidate. Specific examples are currently explored in areas like Health Care and Life Sciences, Public Administration, Engineering, etc.
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