Semantic Radar is a semantic metadata detector for Mozilla Firefox.
Available at Mozilla Add-ons site. It is a browser extension which inspects web pages for links to Semantic Web metadata and informs about presence of it by showing an icon in browser's status bar. Currently it supports RDF autodiscovery (SIOC, FOAF, DOAP and any type) and RDFa metadata detection.
New: Semantic Radar can now ping the Semantic Web Ping Service when metadata are detected. This allows for a community based discovery of the Semantic Web data.
Semantic Desktop with KDE
Nepomuk aims to provide the basis to handle all kinds of metadata on the KDE desktop in a generic fashion. This ranges from simple information such as tags or ratings over metadata extracted from files to metadata that is generated by applications automatically. RDF, the Resource Description Framework, provides the powerful basis to store and query all this data. The goal is to categorize all metadata using clean ontologies to make an automated handling and enrichment of the data possible.
The Institute of Metadata Management is a community of practice around the creation, management, use, promotion, capability development, innovation and articulation of information about information for better governance. Our roots lie in the Metadata world and the heritage of the International Metadata Forums held globally.
"DLMA represents the standards-setting representatives of over 530 of the leading digital publishing, educational technology and e-learning organizations worldwide via its stakeholder organizations. Collectively the DLMA stakeholder organizations have over 60 years tenure as successful standards-setting organizations. Our mission is to coordinate metadata standards adoption and development in support of digital learning and education across the educational technology, publishing, web and library communities via existing metadata frameworks while encouraging innovation and the evolution to next generation metadata frameworks."
The Embedded Metadata Manifesto defines five guiding principles for creating and storing Metadata, so important data is carried with the file wherever possible.
Metadata Management Associates is a partnership of experienced consultants devoted to the development of intelligent Metadata management solutions and services, particularly in library and digital library environments. MMA consultants have advised or developed systems for a variety of clients, and are particularly focused on providing solutions that enable data to operate fully within the Semantic Web.
MetaGlance is a web service used to generate metadata for web pages, documents and text passages. Automatically add tags to web pages, quickly get the gist of what is in a document, add metadata to a search index, and more.
Main entrance page of the the Multimedia Metadata Community Portal
The MPEG-7 & MPEG-21 community aims at bringing together experts from research and industry in the area of multimedia meta data interoperability for collaborative working environments. By establishing a community of professionals it is intended to bridge the gap between an academic research and an industrial scale development of innovative products for natural collaboration. To accomplish this goal the portal provides information about MPEG-7 & MPEG-21 related events, participating research groups, as well as industry partners to share expertise on multimedia meta data interoperability.
The Missing Link in Semantic Metadata Generation, Auto classification, and Taxonomy Management Concept Searching's conceptual Metadata generation, auto-classification, and taxonomy management tools are still unique in the industry.
This dataset contains information about multi-media content published by the European Parliament at http://audiovisual.europarl.europa.eu/. Media assets of type video, audio and image are contained. All assests are annotated with primary metadata (e.g., length, resolution, size, etc.), as well as topic metadata. Where topics are people, those are represented as complex resources in their own right, with names, roles in organisations, etc. Organisations are located in countries according to the Kasabi country dataset.
PoolParty product family supports scenarios relevant for enterprise metadata and information management. metadata management based on the open Semantic Web standard SKOS, Semantic Enterprise Search & highly performant text mining and data integration based on linked data technologies. PoolParty´s APIs allow integration of semantic technologies with other systems like CMS, DMS, web shops or Wikis.
a metadata server that gathers library metadata from multiple institutions and makes it available through open APIs and as Linked Open Data. The aim is to make everything libraries know available to the full Web ecosystem.
DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use. By using DCAT to describe datasets in data catalogs, publishers increase discoverability and enable applications easily to consume metadata from multiple catalogs. It further enables decentralized publishing of catalogs and facilitates federated dataset search across sites. Aggregated DCAT metadata can serve as a manifest file to facilitate digital preservation.
The Data Cube vocabulary provides a means to do this using the W3C RDF (Resource Description Framework) standard. The model underpinning the Data Cube vocabulary is compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange), an ISO standard for exchanging and sharing statistical data and Metadata among organizations. The Data Cube vocabulary is a core foundation which supports extension vocabularies to enable publication of other aspects of statistical data flows or other multi-dimensional data sets.
PBCore, the metadata standard for the exchange of Public Broadcasting content. This site is in the process of a re-design, to be launched at the end of January, 2011.
Kasabi Directory
Creative Commons Attribution (CC-BY)
Uncategorised
This dataset is an aggregation of all of the machine-readable metadata relating to datasets in Kasabi. It has been compiled by crawling all of the VoiD descriptions available from data.kasabi.com. This includes the basic dataset metadata as well as some data about its structure, e.g. resource counts and lists of classes and their occurences.
Platypus Wiki is a project to develop an enhanced Wiki Wiki Web with ideas borrowed from the Semantic Web. It offers a simple user interface to create wiki pages with metadata based on W3C standards. It uses RDF (Resource Description Framework), RDF Schema and OWL (Web Ontology Language) to create ontologies and manage metadata.Platypus Wiki is an ongoing open source project started on 23th December 2003. The project is actually hosted on SourceForge and licensed under GNU GPL.
The Calais web service automatically attaches rich semantic metadata to the content you submit. Using natural language processing, machine learning and other methods, Calais categorizes and links your document with entities (people, places, organizations, etc.), facts (person "x" works for company "y"), and events (person "z" was appointed chairman of company "y" on date "x"