Resource Description Framework (RDF) is a language for representing information about resources in the World Wide Web. This Primer is designed to provide the reader with the basic knowledge required to effectively use RDF. It introduces the basic concepts of RDF and describes its XML syntax. It describes how to define RDF vocabularies using the RDF Vocabulary Description Language, and gives an overview of some deployed RDF applications. It also describes the content and purpose of other RDF specification documents.
OWLIM is a family of semantic repositories, or RDF database management systems, with the following characteristics:
native RDF engines, implemented in Java
delivering full performance through both Sesame and Jena
robust support for the semantics of RDFS, OWL 2 RL and OWL
The intention of this service is to simplify a common task in the work of RDF developers: remembering and looking up URI prefixes.
You can look up prefixes from the search box on the homepage, or directly by typing URLs into your browser bar, such as http://prefix.cc/foaf or http://prefix.cc/foaf,dc,owl.ttl.
LodLive project provides a demonstration of the use of Linked Data standards (RDF, SPARQL) to browse RDF resources. The application aims to spread linked data principles using a simple and friendly interface with reusable techniques.
LOV, your entry point to the growing ecosystem of linked open vocabularies (RDFS or OWL ontologies) used in the Linked Data Cloud. Here you will find vocabularies listed and individually described by metadata, classified by vocabulary spaces, interlinked using the dedicated vocabulary VOAF.
You will enjoy querying the LOV dataset either at vocabulary level or at element level, exploring the vocabulary content using full-text faceted search, and finding metrics about the use of vocabularies in the Semantic Web.
"OSF can integrate and manage all types of content - unstructured documents, semi-structured files, spreadsheets, and structured databases - using a variety of best-of-breed engines. All external content is converted to the canonical RDF data model, enabling common tools and methods for tagging and managing all content. Ontologies provide the schema and common vocabularies for integrating across diverse datasets."
Semantic Radar 1.1 by CaptSolo (Uldis Bojārs), Sergio Fernández
Displays a status bar icon to indicate presence of Semantic Web (RDF) data in the web page. Click the icon to explore this information in more detail..."
"Semantics Platform is a family of products for building medium and large scale semantics-based applications using the Microsoft .NET framework. It provides semantic technology for the storage, services and presentation layers of an application."
"Linked Data Support: Entity Extraction. AlchemyAPI provides comprehensive support for RDF and Linked Data, enabling any content to be brought into the "Semantic Web" world with relative ease."
DERI Pipes: Open Source, Extendable, Embeddable Web Data Mashups
Inspired by Yahoo's Pipes, DERI Pipes is an engine and graphical environment for general Web Data transformations and Mashup.
The mSpace Browser is a multi faceted column based client for exploring large data sets in the way that makes sense to you. You decide the columns and the order that best suits your browsing needs. mSpace encourages the discovery of relationships between your data that you never knew existed!
This site is a demonstrator of the Information Workbench, a platform for Linked Data application development. Designed as a self-service platform, the Information Workbench provides you with all the tools and features you need to quickly build your personal Linked Data applications. If you are interested in background information, please visit the Information Workbench Product page.
PoolParty is a thesaurus management system and a SKOS editor for the Semantic Web including text mining and linked data capabilities. The system helps to build and maintain multilingual thesauri providing an easy-to-use interface. PoolParty server provides semantic services which can be used to integrate semantic search or recommender systems into systems like CMS, DMS, CRM or Wikis.
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