document provides statistics about the structure and content of the LOD cloud. It also analyzes the extend to which LOD data sources implement nine best practices that are either recommended W3C or have emerged within the LOD community.
The objective of the Linking Open Data (LOD) community is to extend the Web with data commons by publishing various open datasets as RDF on the Web and by setting RDF links between data items from different data sources.
This website gives an overview of Linked Data sources cataloged on Data Hub and their completeness level for inclusion in the LOD cloud. It furthermore offers a validator for your Data Hub entry with step-by-step guidance.
web page is the home of the LOD cloud diagram. This image shows datasets that have been published in Linked Data format, by contributors to the Linking Open Data community project and other individuals and organisations. It is based on metadata collected and curated by contributors to the Data Hub.
The lod.euscreen.eu/resource/ pilot is an initial attemp of making the EUscreen content availiable as Linked Open Data on the web. It allows users not only to access and retrieve metadata from the EUScreen content,via standard Web technologies, but also to discover relevant data within the multitude of the available content and even to implement applications that integrate data from EUScreen collection.
The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges in the area of intelligent information management: the exploitation of the Web as a platform for data and information integration in addition to document search. To translate this initial success into a world-scale disruptive reality, encompassing the Web 2.0 world and enterprise data alike, the following research challenges need to be addressed: improve coherence and quality of data published on the Web, ...
This web page is the home of the LOD cloud diagram. This image shows datasets that have been published in Linked Data format, by contributors to the Linking Open Data community project and other individuals and organisations. It is based on metadata collected and curated by contributors to the CKAN directory. Clicking the image will take you to an image map, where each dataset is a hyperlink to its homepage.
The project aims to contribute high-quality interlinked versions of public Semantic Web data sets, promoting their use in new cross-domain applications by developers across the globe. The new technologies for enabling scalable management of Linked Data collections in the many billions of triples will raise the state of the art of Semantic Web data management, both commercial and open-source, providing opportunities for new products and spin-offs, and make RDF a viable choice for organizations worldwide as a premier data management format.
This demo presents a full-featured installation of OntoWiki. You can upload your own knowledge bases and browse/search them with OntoWiki's tools as well as display them in various views.
web page is the home of the LOD cloud diagram. This image shows datasets that have been published in Linked Data format, by contributors to the Linking Open Data community project and other individuals and organisations. It is based on metadata collected and curated by contributors to the Data Hub.
Have you tried OpenRefine previously known as GoogleRefine previously known as Gridworks? =) It is out and ready to be used, supported and extended. Good news: someone already LOD-enabled it for you. We provide a set of extensions either integrated with the latest version of OpenRefine, or being available for download separately.
LATC (LOD Around The Clock) is an EU FP7 funded Support Action dedicated to improving the number and quality of links in the Web of Data. Part of the project involves creating Linked Data versions of EU datasets, some of which are hosted here in Kasabi.
The LOD Cloud contains more than 300 datasets. You can browse the datasets, search for the datasets of your interest, explore the dataset and other datasets linked to it. You can import it into the repository and link the resources to other data in the respository.
BigQuery is a large-scale, interactive query environment that can handle billions of records in seconds. This project provides support to use Linked Open Data in BigQuery with the goal to interactively query the entire LOD cloud (currently some 25 billion records).
Linked Data Applications
This page collects information about (Web) applications on top of linked data. We discuss issues and ideas here and report on already available LOD applications ranging from low-level tools (mainly for developer) to applications targeting end-users (that is, your Granny).
The page is part of the Linking Open Data