Protege Wiki SKOS - Semantic Web Standards Overview SKOS is a common data model for sharing and linking knowledge organization systems via the Web. Many knowledge organization systems, such as thesauri, taxonomies, classification schemes and subject heading systems, share a similar structure, and are used in similar applications. SKOS captures much of this similarity and makes it explicit, to enable data and technology sharing across diverse applications. The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. SKOS also provides a lightweight, intuitive language for developing and sharing new knowledge organization systems. Recommended Reading The official SKOS documents, published in 2009, include a SKOS Primer. A number of textbooks have been published on RDF, RDFS, and on Semantic Web in general. This site is a collaborative space open to the entire SKOS community. Your contributions are most welcome! Content Last modified and/or added
Metadata? Thesauri? Taxonomies? Topic Maps! Making sense of it all Abstract To be faced with a document collection and not to be able to find the information you know exists somewhere within it is a problem as old as the existence of document collections. Information architects have so far applied known and well-tried tools from library science to solve this problem, and now topic maps are sailing up as another potential tool for information architects. The paper argues that topic maps go beyond the traditional solutions in the sense that it provides a framework within which they can be represented as they are, but also extended in ways which significantly improve information retrieval. Table of contents 1. The task of an information architect is to create web sites where users can actually find the information they are looking for. Topic maps are a relative newcomer to this area and bring with them the promise of better-organized web sites, compared to what is possible with existing techniques. 2. 2.1. Metadata 2.2. Table 2.1. title
Web Ontology Language Un article de Wikipédia, l'encyclopédie libre. Pour les articles homonymes, voir OWL. Le langage OWL est basé sur les recherches effectuées dans le domaine de la logique de description. Il peut être vu en quelque sorte comme un standard informatique qui met en oeuvre certaines logiques de description, et permet à des outils qui comprennent OWL de travailler avec ces données, de vérifier que les données sont cohérentes, de déduire des connaissances nouvelles ou d'extraires certaines informations de cette base de données. Il permet notamment de décrire des ontologies, c'est-à-dire qu'il permet de définir des terminologies pour décrire des domaines concrets. Une terminologie se constitue de concepts et de propriétés (aussi appelés « rôles » en logiques de description). Une extension de RDF[modifier | modifier le code] RDF permet par exemple de décrire que <Jean> est le père de <Paul>, au travers des individus <Jean>, <Paul>, et de la relation est le père de. .
OWL - Semantic Web Standards Overview The W3C Web Ontology Language (OWL) is a Semantic Web language designed to represent rich and complex knowledge about things, groups of things, and relations between things. OWL is a computational logic-based language such that knowledge expressed in OWL can be exploited by computer programs, e.g., to verify the consistency of that knowledge or to make implicit knowledge explicit. The current version of OWL, also referred to as “OWL 2”, was developed by the [W3C OWL Working Group] (now closed) and published in 2009, with a Second Edition published in 2012. Recommended Reading As can be seen from the above mentioned Documentation Roadmap, OWL 2 is normatively defined by five core specification documents describing its conceptual structure, primary exchange syntax (RDF/XML), two alternative semantics (Direct and RDF-Based), and conformance requirements. These documents are, however, all rather technical and mainly aimed at OWL 2 implementers and tool developers. All relevant tools
Semantic Technology’s Role in Big Data Solutions? Forbes has published an article that points out an opportunity for Semantic Technology companies. The article discusses the lack of understanding in companies around big data. Author Gil Press writes, “Listening to Gartner analysts Sheila Childs and Merv Adrian talking yesterday about big data infrastructure challenges, I was reminded of a story Mike Ruettgers, former EMC CEO, liked to tell about similar challenges in the early 1990s. At the time, the reigning buzzword was ‘client/server computing,’ signaling a shift to relatively inexpensive servers based on the UNIX operating system. The early adopters were not the people in the glass houses, the data center managers. He goes on, “Visiting the CIO of John Deere, Ruettgers asked him whether he saw these ‘distributed systems’ coming back to be managed by the IT department. Press notes, “You may find that all of your best DW, BI, MDM practices for SDLC, PMO and Governance aren’t directly applicable to or just don’t work for Big Data.
Web sémantique Logo du W3C pour le Web sémantique Le Web sémantique, ou toile sémantique[1], est une extension du Web standardisée par le World Wide Web Consortium (W3C)[2]. Ces standards encouragent l'utilisation de formats de données et de protocoles d'échange normés sur le Web, en s'appuyant sur le modèle Resource Description Framework (RDF). Le web sémantique est par certains qualifié de web 3.0 . Alors que ses détracteurs ont mis en doute sa faisabilité, ses promoteurs font valoir que les applications réalisées par les chercheurs dans l'industrie, la biologie et les sciences humaines ont déjà prouvé la validité de ce nouveau concept[5]. Histoire[modifier | modifier le code] Tim Berners-Lee à l'origine exprimait la vision du Web sémantique comme suit : I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web — the content, links, and transactions between people and computers. — Tim Berners-Lee, Weaving the Web[13] — Weaving the Web[13]
Ontology creation for the rest of us… COE is a project whose goal is to develop an integrated suite of software tools for constructing, sharing and viewing OWL encoded ontologies based on CmapTools, a concept mapping software used in educational settings, training, and knowledge capturing. Concept maps provide a human-centered interface to display the structure, content, and scope of an ontology. Currently, our work focuses on developing conventions for constructing new Cmap OWL ontologies that will assist and guide users when forming class and property relationships among the concepts in the ontology. In addition, we are working on clustering and searching techniques that support the reuse of existing ontologies. An overview presentation is here. Startup instructions are here. The manual is here. Papers OWL Templates People Adding IHMC Public Ontologies Download Updater for V5.0.3
Linked Universities - vocabularies Course and qualification description MLO - Metadata for Learning Opportunities Metadata for Learning Opportunities (MLO) is a European standardized model addressing metadata sufficient for advertising a learning opportunity. An RDF-S version of MLO has been developed by Scott Wilson and is currently available at using the namespace See for example the use of MLO in course descriptions at the Open University: XCRI-CAP - XCRI Course Advertising Profile XCRI is UK-oriented project to establish a specification to support the eXchange of Course-Related Information. An RDF-S version of XCRI has been developed by Scott Wilson and is currently available using the namespace See for example the use of XCRI in course descriptions at the Open University: Bowlogna Ontology
IsaViz Overview News IsaViz and Java 1.6 (2007-10-21) IsaViz 2.x is not compatible with Java 1.6 or later. IsaViz and GraphViz (2007-05-23) IsaViz 2.x is not compatible with GraphViz 2.10 or later. Several bugs have been fixed in the FSL engines for Jena, Sesame and the visual FSL debugger embedded in IsaViz. Fresnel in IsaViz (2006-05-19) IsaViz 3.0 now supports Fresnel lenses and several elements of the Core Format Vocabulary. FSL for Sesame 2-alpha-3 (2006-04-25) The FSL engine for Sesame 2 now works with version 2alpha3 instead of version 2alpha1. FSL for Sesame 1.2.2 (2005-12-06) In addition to the Sesame 2.0 implementation of FSL, there is now a Sesame 1.2.2 implementation written by Ryan Lee from project Simile. Java FSL Documentation available (2005-11-18) Documentation for the three existing Java FSL engine implementations (for Jena, Sesame and IsaViz) is now available. FSL for Sesame 2.0 (2005-11-15) Fresnel comes with a companion proposal specifying a path language for RDF called FSL. Screenshots
ESWC 2012 | 9th Extended Semantic Web Conference The Extended Semantic Web Conference 2012 (ESWC 2012) takes place from May 27, 2012 to May 31, 2012 in Heraklion, Crete, Greece. The Extended Semantic Web Conference (ESWC) is a major venue for discussing the latest scientific results and technology innovations around semantic technologies. Building on its past success, ESWC is seeking to broaden its focus to span other relevant research areas in which Web semantics plays an important role. The goal of the Semantic Web is to create a Web of knowledge and services in which the semantics of content is made explicit and content is linked to both other content and services novel applications allowing to combine content from heterogeneous sites in unforeseen ways and support enhanced matching between users needs and content. This network of knowledge-based functionality will weave together a large network of human knowledge, and make this knowledge machine-processable to support intelligent behaviour by machines.
RelFinder - Visual Data Web Are you interested in how things are related with each other? The RelFinder helps to get an overview: It extracts and visualizes relationships between given objects in RDF data and makes these relationships interactively explorable. Highlighting and filtering features support visual analysis both on a global and detailed level. The RelFinder is based on the open source framework Adobe Flex, easy-to-use and works with any RDF dataset that provides standardized SPARQL access. Check out the following links for some examples: The RelFinder can easily be configured to work with different RDF datasets. The RelFinder can also be more deeply integrated with your project: Integrating the RelFinder See the following examples of how the RelFinder is integrated into other projects: Ontotext applies the RelFinder to enable an exploration of relationships in the biomedical domain. All tools on this website are research prototypes that might contain errors.
Linked Data | Linked Data - Connect Distributed Data across the Web Pearltrees: mise à jour de l’export RDF Pour rentrer dans le vif du sujet, voici les modifications apportées sur l’export RDF de pearltrees : Fixe des problèmes de casse Remplace owl:sameAs par dc:identifier sur la class pt:Pearl Remplace owl:sameAs par rdfs:seeAlso sur les perles référencant des pt:Tree Remplace le préfix dc: par dcterms: Utilisation de sioc:UserAccount pour lier foaf et pearltrees Description simple du schéma pearltrees sur l’url associé Ajout de pt:inTreeSinceDate sur pt:Pearl Ajout de pt:treeId, pt:assoId et pt:lastUpdate sur pt:Tree Sur l’année passée j’ai reçu avec grand plaisir les retours de nombreuses personnes, je tiens à remercier particulièrement Alexandre , Gautier et Vincent pour leurs feedbacks détaillés. Je vous invite à créer un compte pearltrees , et explorer par vous même votre export. Un petit exemple d’utilisation de l’export et de l’interface javascript de l’embed: En cliquant sur les liens suivants vous pouvez piloter l’embed ci-dessus Mon pearltree Governement Data share Uncategorized