Group items tagged

LinkedGeoData is an effort to add a spatial dimension to the Web of Data / Semantic Web. LinkedGeoData uses the information collected by the OpenStreetMap project and makes it available as an RDF knowledge base according to the Linked Data principles. It interlinks this data with other knowledge bases in the Linking Open Data initiative.

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.

Creating tools to identify the latent knowledge found in text. Semantic indexing is our name for a family of techniques for searching and organizing large data collections. The goal of semantic indexing is to find patterns in unstructured data (documents without descriptors such as keywords or special tags) and use those patterns to offer more effective search and categorization services.

Currently this site is mainly a collection of notes supporting the business cases and development of Linked Data and Semantic Web applications. The long term goal is to evolve these notes into a set of strategies for developing Semantic Web applications for a nominated domain.

Our goal is to make it easier for people to collect, organize, find, visualize, and share their information. We are an interdisciplinary group of researchers blending approaches from human-computer interaction, social computing, databases, web infrastructure, information retrieval, artificial intelligence and the semantic web.

a collection of semantic resources in order to ease the implementation of semantic Django web apps. Why? Just because data is more important than code and if you store, manipulate, give access to your data in a standard way you'll be able to interact with other website as part of the Giant Global Graph. Isn't it fun?

Wandora is a general purpose information extraction, management, and publishing application based on Topic Maps and Java Swing. Wandora has graphical user interface, layered presentation of knowledge, several data storage options, huge collection of data extraction, import and export options, embedded server, and open plug-in architecture. Wandora is a FOSS application with GNU GPL license.

the wiki for the community of users, administrators and developers of the Semantic MediaWiki extension to the MediaWiki application, and all its spinoff extensions, including Semantic Forms, Semantic Drilldown, Semantic Result Formats, Halo, Semantic Maps and others. The wiki itself uses many of these extensions, in order to provide a flexible yet structured interface to the data. Here you will find information on people and organizations in the Semantic MediaWiki community, a listing of SMW-based sites, a list of extensions themselves, a list of SMW-related events, a list of requested features for the extensions, and a list of "packages", which are collections of wiki pages defining properties, templates, forms etc. that can be imported into one's wiki to create an instant data structure.

This page provides a central collection of Semantic Web tutorial resources for interested readers and is maintained by the Semantic Web Best Practices and Deployment Working Group.

This category collects tools that are related to the Semantic Web or to semantic technologies in general.

TaxoDiary covers all types of knowledge organization systems (KOS), and related subjects. It is designed to provide the taxonomist, indexing and content professional with news and opinions about metatagging, and the application of KOS to increase findability of information objects within or across large collections of information, structured in databases, or unstructured in content repositories using controlled vocabularies. These activities are not unique to a single country or language, but rather shared and active globally.  It is part of our effort to keep abreast with the constantly changing field and to provide us information for research and used  in consideration for the creation of new products and services.

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.

Linked Data lies at the heart of what Semantic Web is all about: large scale integration of, and reasoning on, data on the Web. Almost all applications listed in, say collection of Semantic Web Case Studies and Use Cases are essentially based on the accessibility of, and integration of Linked Data at various level of complexities.

Searching 277 schema descriptions including FOAF - Friend of a Friend , Dublin Core Elements and Dublin Core addresses audio bibliographic biology books broadcast calendars calls citations classification collections commerce conferences

The Million Song Dataset is a freely-available collection of audio features and metadata for a million contemporary popular music tracks. Its purposes are: To encourage research on algorithms that scale to commercial sizes To provide a reference dataset for evaluating research As a shortcut alternative to creating a large dataset with The Echo Nest's API To help new researchers get started in the MIR field

DERI's Linked Data Research Centre (LiDRC) is organised into research themes addressing certain aspects of Linked Data publishing and consuming. You can find the current research themes in the table below or have a look at the LiDRC Lab, a collection of tools and services we are working on.

"Kreeo allowed us to leverage the benefits of Web 2.0, social computing and collaborative learning to make sure that employees are truly empowered to help AppLabs compete in the knowledge economy."

Here you'll find a growing collection of tutorials, essays, links and discussion about Linked Data and related topics. Please subscribe to our RSS feed, Twitter account, ..