Metacrap. 0.1. Version History Version 1.3, August 26 2001. Fixed typos. First published version. Version 1.2, May 23 2001. Tweaked intro (Thanks, Fred). Version 1.1, May 18 2001. Version 1.0, May 15 2001. 1. Metadata is "data about data" -- information like keywords, page-length, title, word-count, abstract, location, SKU, ISBN, and so on. If everyone would subscribe to such a system and create good metadata for the purposes of describing their goods, services and information, it would be a trivial matter to search the Internet for highly qualified, context-sensitive results: a fan could find all the downloadable music in a given genre, a manufacturer could efficiently discover suppliers, travelers could easily choose a hotel room for an upcoming trip. A world of exhaustive, reliable metadata would be a utopia. 2.2 People are lazy You and me are engaged in the incredibly serious business of creating information.
But info-civilians are remarkably cavalier about their information. 3. Of course not. Semantic Web. The Semantic Web is a collaborative movement led by international standards body the World Wide Web Consortium (W3C).[1] The standard promotes common data formats on the World Wide Web. 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).[2] 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".[2] The term was coined by Tim Berners-Lee for a web of data that can be processed by machines.[3] While its critics have questioned its feasibility, proponents argue that applications in industry, biology and human sciences research have already proven the validity of the original concept.
History[edit] Purpose[edit] Limitations of HTML[edit] Semantic Web solutions[edit] RDF Primer. Mrw_topic_maps.jpg (JPEG Image, 164x100 pixels) Semantic reasoner. A semantic reasoner, reasoning engine, rules engine, or simply a reasoner, is a piece of software able to infer logical consequences from a set of asserted facts or axioms. The notion of a semantic reasoner generalizes that of an inference engine, by providing a richer set of mechanisms to work with. The inference rules are commonly specified by means of an ontology language, and often a description language. Many reasoners use first-order predicate logic to perform reasoning; inference commonly proceeds by forward chaining and backward chaining.
There are also examples of probabilistic reasoners, including Pei Wang's non-axiomatic reasoning system[citation needed], and Novamente's probabilistic logic network[citation needed]. List of semantic reasoners[edit] Existing semantic reasoners and related software: Commercial software[edit] Free to use (Closed Source)[edit] Free software (open source)[edit] See also[edit] References[edit] External links[edit]