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List of academic databases and search engines Wikipedia list article This article contains a representative list of notable databases and search engines useful in an academic setting for finding and accessing articles in academic journals, institutional repositories, archives, or other collections of scientific and other articles. Databases and search engines differ substantially in terms of coverage and retrieval qualities.[1] Users need to account for qualities and limitations of databases and search engines, especially those searching systematically for records such as in systematic reviews or meta-analyses.[2] As the distinction between a database and a search engine is unclear for these complex document retrieval systems, see: the general list of search engines for all-purpose search engines that can be used for academic purposesthe article about bibliographic databases for information about databases giving bibliographic information about finding books and journal articles. Operating services[edit] See also[edit] References[edit]

SKOS: Thésaurus de l'UNESCO Consulter le thésaurus Le Thésaurus de l'UNESCO est une liste de termes contrôlés et structurés pour l'analyse thématique et la recherche de documents et publications dans les domaines de l'éducation, la culture, les sciences naturelles, les sciences sociales et humaines, la communication et l'information. Le thésaurus est structuré en sept principaux domaines classés en microthésauri, permettant d'avoir un rapide aperçu du sujet traité. Signification des symboles NE - Note explicative (Scope Note) : explication de l'emploi d'un terme.

Linked Data | Linked Data - Connect Distributed Data across the Web Free Economic Data | Economic, Financial, and Demographic Data Finding and downloading economic data have never been this fast, simple or free! Dismal Scientist Relevant, easy-to-understand global economic information in real time "Fifteen minutes with Dismal saves you three hours..." Pete Gioia U.S. In-depth analysis, data and outlooks for 387 metropolitan areas. About FreeLunch.comMoody's Analytics FreeLunch.com is the web's best source of free economic data.

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]. SKOS Schema Overview The following table gives a non-normative overview of the SKOS vocabulary; it replicates a table found in the (normative) SKOS Reference [SKOS-REFERENCE]. See also the SKOS Namespace Document - RDF/XML Variant [SKOS-RDF]. References SKOS Reference, Alistair Miles, Sean Bechhofer, Editors. SKOS Namespace - RDF/XML Variant. SKOS Primer, Antoine Isaac, Ed Summers, Editors. Acknowledgements This document is the result of extensive discussions within the W3C's Semantic Web Deployment Working Group.

File:LOD Cloud Diagram as of September 2011.png MarketResearch.com: Market Research Reports and Industry Analysis 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. From Chaos, Order: SKOS Recommendation Helps Organize Knowledge (2009-08-18) Today W3C announces a new standard that builds a bridge between the world of knowledge organization systems - including thesauri, classifications, subject headings, taxonomies, and folksonomies - and the linked data community, bringing benefits to both. Call for Review: SKOS Reference Proposed Recommendation (2009-06-15)

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