http://planete.websemantique.org/
Labs/Ubiquity Back to Labs. Ubiquity was a Mozilla Labs experiment that was in development from 2008 to 2009. Its purpose was to explore whether a radically different type of interface to the Web — a task-centric, natural-language-based command line — could help us get common Web tasks done faster. Information géopolitique The FAO geopolitical ontology and related services have been developed to facilitate data exchange and sharing in a standardized manner among systems managing information about countries and/or regions. The geopolitical ontology ensures that FAO and associated partners can rely on a master reference for geopolitical information, as it manages names in multiple languages (English, French, Spanish, Arabic, Chinese, Russian and Italian); maps standard coding systems (UN, ISO, FAOSTAT, AGROVOC, etc); provides relations among territories (land borders, group membership, etc); and tracks historical changes. Geopolitical ontology overview The geopolitical ontology has been populated using FAO, UN and internationally recognized data sources.
SPARQL Query Language for RDF W3C Recommendation 15 January 2008 New Version Available: SPARQL 1.1 (Document Status Update, 26 March 2013) The SPARQL Working Group has produced a W3C Recommendation for a new version of SPARQL which adds features to this 2008 version. Please see SPARQL 1.1 Overview for an introduction to SPARQL 1.1 and a guide to the SPARQL 1.1 document set. The Web of Data: Creating Machine-Accessible Information In the coming years, we will see a revolution in the ability of machines to access, process, and apply information. This revolution will emerge from three distinct areas of activity connected to the Semantic Web: the Web of Data, the Web of Services, and the Web of Identity providers. These webs aim to make semantic knowledge of data accessible, semantic services available and connectable, and semantic knowledge of individuals processable, respectively. In this post, we will look at the first of these Webs (of Data) and see how making information accessible to machines will transform how we find information. The amount of information and services available is growing exponentially. Every day, it is getting harder to find the information we are actually looking for.
Toward a web 3.0? The web 2.0 has just hardly shown us its potential that we are beginning to think about it’s next iteration: web 3.0. Is this mysterious web 3.0 a reality? No, not at all. Is it timely to talk about it right now? Yes, because foundations of a new era of online services are being shaped. To have a sharper understanding of the stakes of this (hypothetical) web 3.0, it is important to look at ancient models, to compare them with actual models (web 2.0 oriented) and to anticipate a near future.
SKOS Simple Knowledge Organization System - home page SKOS is an area of work developing specifications and standards to support the use of knowledge organization systems (KOS) such as thesauri, classification schemes, subject heading lists and taxonomies within the framework of the Semantic Web ... [read more] Alignment between SKOS and new ISO 25964 thesaurus standard (2012-12-13) ISO 25964-1, published in 2011, replaced the previous thesaurus standards ISO 2788 and ISO 5964 (both now withdrawn). Members of the Working Group responsible for ISO 25964 have gone on to consider the implications for SKOS users. They have developed a set of linkages between the elements of the ISO 25964 data model and the ones from SKOS, SKOS-XL, and MADS/RDF.
Ontology (information science) In computer science and information science, an ontology formally represents knowledge as a hierarchy of concepts within a domain, using a shared vocabulary to denote the types, properties and interrelationships of those concepts.[1][2] Ontologies are the structural frameworks for organizing information and are used in artificial intelligence, the Semantic Web, systems engineering, software engineering, biomedical informatics, library science, enterprise bookmarking, and information architecture as a form of knowledge representation about the world or some part of it. The creation of domain ontologies is also fundamental to the definition and use of an enterprise architecture framework. The term ontology has its origin in philosophy and has been applied in many different ways. The word element onto- comes from the Greek ὤν, ὄντος, ("being", "that which is"), present participle of the verb εἰμί ("be").
RIF Basic Logic Dialect W3C Recommendation 5 February 2013 This version: Latest version: What is the Semantic Web? Introduction Many people are not clear as to what the Semantic web is, and as we are the Semantic Web Agreement Group, we need to define it for people. Therefore, here is an attempt at a clear view of the Semantic Web:- The Semantic Web is a Web that includes documents, or portions of documents, describing explicit relationships between things and containing semantic information intended for automated processing by our machines. It operates on the principle of shared data. When you define what a particular type of data is, you can link it to other bits of data and say "that's the same", or some other relation.
Alex Faaborg - » Microformats - Part 0: Introduction Have you been over hearing people talk about microformats and thought to yourself “what are those?” In this post I provide a quick introduction, and discuss the various ways that microformats are changing the Web. What are microformats? Microformats can be explained in a number of ways, but the easiest way to explain them is to just show an example. Here is my contact information in HTML: <div class=”vcard”> <span class=”fn”>Alex Faaborg</span> <div class=”org”>Mozilla</div> <div class=”adr”> <div class=”street-address”>1981 Landings Drive, Building K</div> <span class=”locality”>Mountain View</span>, <span class=”region”>CA</span>, <span class=”postal-code”>94043</span> <span class=”country-name”>United States</span> </div> <div class=”tel”>617-899-5064</div>
Ontology Summit 2012 This year's Ontology Summit is titled "Ontology for Big Systems" and seeks to explore, identify and articulate how ontological methods can bring value to the various disciplines required to engineer a "big system." The term "big system" is intended to cover a large scope that includes many of the terms encountered in the media such as: Established disciplines that fall within the summit scope include (but not limited to) systems engineering, software engineering, information systems modelling, and data mining. The principal goal of the summit is to bring together and foster collaboration between the ontology community, systems community, and stakeholders of some of the "big systems." Together, the summit participants will exchange ideas on how ontological analysis and ontology engineering might make a difference, when applied in these "big systems."
RIF RDF and OWL Compatibility Abstract Rules interchanged using the Rule Interchange Format RIF may depend on or be used in combination with RDF data and RDF Schema or OWL ontologies. This document, developed by the Rule Interchange Format (RIF) Working Group, specifies the interoperation between RIF and the data and ontology languages RDF, RDF Schema, and OWL.