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SKOS Simple Knowledge Organization System - home page

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(2012-12-13) ISO 25964-1, published in 2011, replaced the previous thesaurus standards ISO 2788 and ISO 5964 (both now withdrawn).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. From Chaos, Order: SKOS Recommendation Helps Organize Knowledge (2009-08-18) Call for Review: SKOS Reference Proposed Recommendation (2009-06-15) The Semantic Web Deployment Working Group has published the Proposed Recommendation of SKOS Simple Knowledge Organization System Reference.

http://www.w3.org/2004/02/skos/

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SKOS Simple Knowledge Organization System Namespace Document - HTML Variant, 18 August 2009 Recommendation Edition Status of this Document This document describes the schema available from the SKOS namespace. Introduction The Simple Knowledge Organization System (SKOS) is a common data model for sharing and linking knowledge organization systems via the Semantic Web.This document provides a brief description of the SKOS Vocabulary. For detailed information about the SKOS Recommendation, please consult the SKOS Reference [SKOS-REFERENCE] or the SKOS Primer [SKOS-PRIMER].

Watson Semantic Web Search This is the Watson Web interface for searching ontologies and semantic documents using keywords. This interface is subject to frequent evolutions and improvements. If you want to share your opinion, suggest improvement or comment on the results, don't hesitate to contact us... At the moment, you can enter a set of keywords (e.g. "cat dog old_lady"), and obtain a list of URIs of semantic documents in which the keywords appear as identifiers or in literals of classes, properties, and individuals.

Linked Geospatial Data 2014 Workshop, Part 1: Web Services or SPARQL Modeling? The W3C (World Wide Web Consortium) and OGC (Open Geospatial Consortium) organized the Linked Geospatial Data 2014 workshop in London this week. The GeoKnow project was represented by Claus Stadler of Universität Leipzig, and Hugh Williams and myself (Orri Erling) from OpenLink Software. The Open Knowledge Foundation (OKFN) also held an Open Data Meetup in the evening of the first day of the workshop. Reporting on each talk and the many highly diverse topics addressed is beyond the scope of this article; for this you can go to the program and the slides that will be online. Instead, I will talk about questions that to me seemed to be in the air, and about some conversations I had with the relevant people.

OWL Web Ontology Language Guide W3C Recommendation 10 February 2004 New Version Available: OWL 2 (Document Status Update, 12 November 2009) The OWL Working Group has produced a W3C Recommendation for a new version of OWL which adds features to this 2004 version, while remaining compatible. Please see OWL 2 Document Overview for an introduction to OWL 2 and a guide to the OWL 2 document set.

OBO Relation Ontology An ontology of core relations for use by OBO Foundry ontologies OBO_REL is deprecated. This ontology has been replaced by RO, see the New project home page for details. Dublin Core Metadata Element Set, Version 1.1 Introduction The Dublin Core Metadata Element Set is a vocabulary of fifteen properties for use in resource description. The name "Dublin" is due to its origin at a 1995 invitational workshop in Dublin, Ohio; "core" because its elements are broad and generic, usable for describing a wide range of resources. Semantics Montague grammar[edit] In the late 1960s, Richard Montague proposed a system for defining semantic entries in the lexicon in terms of the lambda calculus. In these terms, the syntactic parse of the sentence John ate every bagel would consist of a subject (John) and a predicate (ate every bagel); Montague demonstrated that the meaning of the sentence altogether could be decomposed into the meanings of its parts and in relatively few rules of combination.

Big Data: buzzword or revolution? What? You’re in IT and don’t know about Big Data?!Unless you have lived in a box for the last two years, if you have even the slightest interest in IT (and not just business intelligence), you have heard about “Big Data” and most likely about “Hadoop” and “NoSQL”. Right? When new terms last longer than a year, we can assume that they are more than sales and marketing spiel, that they carry some real substance. In early April, CNIT Paris hosted a trade show dedicated to Big Data. SKOS Simple Knowledge Organization System Namespace Document - H Status of this Document This document describes the schema available from the SKOS namespace. Introduction The Simple Knowledge Organization System (SKOS) is a common data model for sharing and linking knowledge organization systems via the Semantic Web.This document provides a brief description of the SKOS Vocabulary. For detailed information about the SKOS Recommendation, please consult the SKOS Reference [SKOS-REFERENCE] or the SKOS Primer [SKOS-PRIMER]. SKOS Schema Overview

BioTop - A Top-Domain Ontology for the Life Sciences Overview The flood of data and factual knowledge in biology and medicine requires principled approaches to their proper analysis and management. A cornerstone in this effort constitutes the precise and complete description of the fundamental entities within this domain in terms of formal ontologies. However, biomedical ontology development often still do not adhere to basic design principles: For example, even very low-level domain terms often lack precise and unambiguous (logical) definitions.

DCMI Metadata Terms This document is an up-to-date, authoritative specification of all metadata terms maintained by the Dublin Core Metadata Initiative. Included are the fifteen terms of the Dublin Core Metadata Element Set, which have also been published as IETF RFC 5013 [RFC5013], ANSI/NISO Standard Z39.85-2007 [NISOZ3985], and ISO Standard 15836:2009 [ISO15836]. Each term is specified with the following minimal set of attributes: Where applicable, the following attributes provide additional information about a term: This release of DCMI Metadata Terms reflects changes described more fully in the document "Maintenance changes to DCMI Metadata Terms" [REVISIONS].

Relational Databases and the Semantic Web (in Design Issues) $Id: RDB-RDF.html,v 1.25 2009/08/27 21:38:09 timbl Exp $ Up to Design Issues There are many other data models which RDF's Directed Labelled Graph (DLG) model compares closely with, and maps onto. See a summary in Launching a new Linked Data service We’ll soon be launching the next iteration of our Linked Data Service at In preparation we have created a beta version ( which has been designed for you to have a play around, test and review against your current applications. We launched Linked Data in April 2010 and have seen a continued growth of the use in government and research. This has allowed us to develop a deeper understanding of the use of Linked Data, which we have used to develop an improved service, it’s easy to use and access adhering to new standards making the data more open. In summary, the improvements we have made are: Developed a data hub that provides access to all our Linked Data datasets, with integrated search to enable anyone to easily locate resources of interest.Embedded OS OpenSpace maps to show the geographic location chosen.Separate datasets, which will allow you to narrow down your searches.

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