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Page "Semantic Web" ¶ 36
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Semantic and Web
* Semantic Web
* Semantic Web
Category: Semantic Web
Recent developments in KR include the concept of the Semantic Web, and development of XML-based knowledge representation languages and standards, including Resource Description Framework ( RDF ), RDF Schema, Topic Maps, DARPA Agent Markup Language ( DAML ), Ontology Inference Layer ( OIL ), and Web Ontology Language ( OWL ).
Development of the Semantic Web, has included development of XML-based knowledge representation languages and standards, including RDF, RDF Schema, Topic Maps, DARPA Agent Markup Language ( DAML ), Ontology Inference Layer ( OIL ), and Web Ontology Language ( OWL ).
* Ontology Inference Layer or Ontology Interchange Language, an Ontology Infrastructure for the Semantic Web
Significant progress has also been made in bringing the world of UML modeling and the Semantic Web together through the adoption of the Ontology Definition Metamodel which relates UML models in a standard way with RDF and Web Ontology Language ( OWL ) models.
: In accord with the W3C's Semantic Web initiative, SVG allows authors to provide metadata about SVG content.
* Semantic Web
* Semantic Web
W3C's Semantic Web logo
The Semantic Web is a collaborative movement led by the international standards body, the World Wide Web Consortium ( W3C ).
By encouraging the inclusion of semantic content in web pages, the Semantic Web aims at converting the current web dominated by unstructured and semi-structured documents into a " web of data ".
The Semantic Web stack builds on the W3C's Resource Description Framework ( RDF ).
According to the W3C, " The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
The term was coined by Tim Berners-Lee, the inventor of the World Wide Web and director of the World Wide Web Consortium (" W3C "), which oversees the development of proposed Semantic Web standards.
He defines the Semantic Web as " a web of data that can be processed directly and indirectly by machines.
The original 2001 Scientific American article by Berners-Lee described an expected evolution of the existing Web to a Semantic Web, but this has yet to happen.

Semantic and is
Semantic memories are those that store general factual knowledge that is independent of personal experience.
Semantic externalism comes in two varieties, depending on whether meaning is construed cognitively or linguistically.
along the lines of semantic networks is MultiNet ( an acronym for Multilayered Extended Semantic Networks ).
The main purpose of the Semantic Web is driving the evolution of the current Web by enabling users to find, share, and combine information more easily.
The Semantic Web, as originally envisioned, is a system that enables machines to " understand " and respond to complex human requests based on their meaning.
The Semantic Web is regarded as an integrator across different content, information applications and systems.
Furthermore, there is confusion with regard to the current status of the enabling technologies envisioned to realize the Semantic Web.
In a paper presented by Gerber, Barnard and Van der Merwe the Semantic Web landscape is charted and a brief summary of related terms and enabling technologies is presented.
This list of challenges is illustrative rather than exhaustive, and it focuses on the challenges to the " unifying logic " and " proof " layers of the Semantic Web.
Standardization for Semantic Web in the context of Web 3. 0 is under the care of W3C.
The term " Semantic Web " is often used more specifically to refer to the formats and technologies that enable it.
XML is not at present a necessary component of Semantic Web technologies in most cases, as alternative syntaxes exists, such as Turtle.
RDF is a fundamental standard of the Semantic Web.
Semantic markup is often generated automatically, rather than manually.
DBpedia is an effort to publish structured data extracted from Wikipedia: the data is published in RDF and made available on the Web for use under the GNU Free Documentation License, thus allowing Semantic Web agents to provide inferencing and advanced querying over the Wikipedia-derived dataset and facilitating interlinking, re-use and extension in other data-sources.
FOAF is an example of how the Semantic Web attempts to make use of the relationships within a social context.
The current best-known semantic wiki software is Semantic MediaWiki, a plugin to MediaWiki.
Wordnet is connected to several databases of the Semantic Web.
One of the Investigators working on the program was Tim Berners-Lee and to a great degree through his influence, working with the program managers, the effort worked to create technologies and demonstrations for what is now called the Semantic Web.
This mechanism for describing resources is a major component in the W3C's Semantic Web activity: an evolutionary stage of the World Wide Web in which automated software can store, exchange, and use machine-readable information distributed throughout the Web, in turn enabling users to deal with the information with greater efficiency and certainty.
Semantic security is not implied by the computational Diffie – Hellman assumption alone.

Semantic and sometimes
In the context of its application to information retrieval, it is sometimes called Latent Semantic Indexing ( LSI ).
Clever search algorithms or the Semantic Web are sometimes considered to be superintelligent.
The use of Semantic Web and other knowledge technologies in Grid applications is sometimes described as the Knowledge Grid.
The first automatic system for Semantic Role Labeling ( SRL, sometimes also referred to as " shallow semantic parsing ") was developed by Daniel Gildea and Daniel Jurafsky based on FrameNet in 2002, and Semantic Role Labelling has since become one of the standard tasks in natural language processing.

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