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"The VIAF™ (Virtual International Authority File) combines multiple name authority files into a single OCLC-hosted name authority service. The goal of the service is to lower the cost and increase the utility of library authority files by matching and linking widely-used authority files and making that information available on the Web."

This format was designed to provide lightweight, easy-to-implement compression of font data, suitable for use with CSS @font-face rules. Any properly licensed TrueType/OpenType/Open Font Format file can be packaged in WOFF format for Web use. User agents decode the WOFF file to restore the font data such that it will display identically to the input font.

Humata Artificial Intelligence: ChatGPT for your files (humata.ai).

Humata Artificial Intelligence: ChatGPT for your files (humata.ai).

Cwm (pronounced coom) is a general-purpose data processor for the semantic web, somewhat like sed, awk, etc. for text files or XSLT for XML. It is a forward chaining reasoner which can be used for querying, checking, transforming and filtering information. Its core language is RDF, extended to include rules, and it uses RDF/XML or RDF/N3 (see Notation3 Primer) serializations as required.

Wikidata aims to create a free knowledge base about the world that can be read and edited by humans and machines alike. It will provide data in all the languages of the Wikimedia projects, and allow for the central access to data in a similar vein as Wikimedia Commons does for multimedia files. Wikidata is currently in development.

Wikidata is a project to create a free knowledge base about the world that can be read and edited by humans and machines alike. It will provide data in all the languages of the Wikimedia projects, and allow for central access to the data in a way similar to what Wikimedia Commons does for multimedia files.

smarchive means easy and central storing of all your documents - both hardcopy and digital ones. Our savvy archive saves you time, work and nerves and files your documents securely for ever.

The Embedded Metadata Manifesto defines five guiding principles for creating and storing metadata, so important data is carried with the file wherever possible.

Access, organize and search information, files, documents, projects within your entire organization from one place.

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.

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.

Paggr Prospect is a generic faceted browser builder for Linked Data stores. It uses the SPARQL query language and works with both local or remote RDF repositories. Prospect is the first faceted navigation system that offers powerful point and click customization through your web browser. No complicated configuration files. Just pick from the rich set of layout and interaction components and build data navigators exactly tailored to your needs.

OBO-Edit is optimized for the OBO biological ontology file format. It features an easy to use editing interface, a simple but fast reasoner, and powerful search capabilities. OBO-Edit is developed by the Berkeley Bioinformatics and Ontologies Project, and is funded by the Gene Ontology Consortium. Contributions to the OBO-Edit codebase are always welcome.

APML allows you to share your own personal Attention Profile in much the same way that OPML allows the exchange of reading lists between News Readers. The idea is to compress all forms of Attention Data into a portable file format containing a description of your ranked interests.

Integrate. Relate. Infer. Share. IRIS is a semantic desktop application framework that enables users to create a "personal map" across their office-related information objects. IRIS includes a machine-learning platform to help automate this process.  It provides "dashboard" views, contextual navigation, and relationship-based structure across an extensible suite of office applications, including a calendar, web and file browser, e-mail client, and instant messaging client.

OWL ontologies Information on how to open OWL files from the Protege-OWL editor is available on the main Protege Web site. See the Creating and Loading Projects section of the Getting Started with Protege-OWL Web page. Other ways to search for OWL ontologies include using Google: http://www.google.com/search?q=filetype:owl+owl, or the new Semantic Web search engine called Swoogle.

The Open Data Protocol (OData) is a Web protocol for querying and updating data that provides a way to unlock your data and free it from silos that exist in applications today. OData does this by applying and building upon Web technologies such as HTTP, Atom Publishing Protocol (AtomPub) and JSON to provide access to information from a variety of applications, services, and stores. The protocol emerged from experiences implementing AtomPub clients and servers in a variety of products over the past several years. OData is being used to expose and access information from a variety of sources including, but not limited to, relational databases, file systems, content management systems and traditional Web sites.

Semantic matching is a type of ontology matching technique that relies on semantic information encoded in lightweight ontologies to identify nodes that are semantically related. Given any two graph-like structures, like classifications, database or XML schemas and ontologies, matching is an operator that identifies those nodes in the two structures which semantically correspond to one another. For example, applied to file systems it can identify that a folder labeled "car" is semantically equivalent to another folder "automobile" because they are synonyms in English. This information can be taken from a linguistic resource like WordNet.

metaLayer is like Photoshop for data. We allow our users to easily crunch, visualize, and mash-up information. It works with documents, Twitter, text files, feeds, email, or images. Visually create complex workflows, conditional actions, or contrast datasets with charts and graphs - in the easiest way possible. Can't wait? You can get started with some of our APIs already!