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Common Tag is an open tagging format developed to make content more connected, discoverable and engaging. Unlike free-text tags, Common Tags are references to unique, well-defined concepts, complete with metadata and their own URLs. With Common Tag, site owners can more easily create topic hubs, cross-promote their content, and enrich their pages with free data, images and widgets.

MOAT (Meaning Of A Tag) provides a Semantic Web framework to publish semantically-enriched content from free-tagging one.

FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources. It aims to show how the flat keywords space of user-generated tags can be effectively mixed with a richer faceted classification scheme to improve the system information architecture. Facets constitute an adaptive classification system capable to represent both a knowledge in movement (like that of collaborative environments) and several mental models at the same time. The blend of tags and facets is able to empower the information scent and berrypicking capabilities of the system.

Hashtags are a community-driven convention for adding additional context and metadata to your tweets. They're like tags on Flickr, only added inline to your post. You create a hashtag simply by prefixing a word with a hash symbol: #hashtag. Hashtags is a great way to follow community driven news chatter on microblogs. Some tags are temporary in nature, while some tags are here to stay because they have been adopted by grass roots movements. This Wikia is meant to help you navigate all the hashtags on http://hashtags.org/, to figure out who is using them.

A new format named Common Tag has been developed by major companies operating in the field of the Semantic Web to address the problems related to the ambiguities in Web contents.

Ground-breaking profiling, semantic search, navigation and optimization solutions. TextDigger offers the most intuitive, evolved, versatile and scalable semantic and linguistic profiling solutions for enriching your web-based content TextDigger has empowered businesses like yours to improve the findability of Internet and intranet content by providing scalable solutions for related search, automatic tagging, and semantic keyword generation. From web publishers, to e-commerce sites, to social networking and corporate enterprises, TextDigger's solutions leverage proprietary semantic technology to make your web pages easier to find, navigate and monetize.

SemanticScuttle is a social bookmarking tool experimenting new features as structured tags or collaborative descriptions of tags. More details on the wiki.

SemanticScuttle is a social bookmarking tool experimenting new features as structured tags or collaborative descriptions of tags.

Listing 35 datasets tagged with "music"

Extract and rank concepts, tags and categories from webpages, URLs and text. Determine the sentiment expressed on a webpage. As a demonstration of Wingify's contextual targeting technology, contextually similar links to the input are also fetched from the web. We expose an API for this technology, contact us to begin using it.

Free Blog Post Generator: High quality blog post with unique headline, image & tags (freeblogpostgenerator.com).

Try out standard CKAN functionality in a sandbox environment. Search for datasets directly from the homepage or by navigating to the Datasets search page where you can facet by tags, groups and format. To add your own datasets, just sign up and create your publishing organization!

A cross-browser API for extending the web runtime to recognize and parse new, advanced HTML tags

site defines a collection of schemas (applied in the form of HTML tags) that webmasters can use to markup their historical and genealogical information in a consistent way.

"Apache Stanbol provides a set of reusable components for semantic content management. Apache Stanbol's intended use is to extend traditional content management systems with semantic services. Other feasible use cases include: direct usage from web applications (e.g. for tag extraction/suggestion; or text completion in search fields), 'smart' content workflows or email routing based on extracted entities, topics, etc."

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.

Digger.com ("Digger") is a next generation search tool developed by TextDigger, Inc. Digger is one of several products developed by TextDigger, Inc. to provide semantic search, navigation and optimization solutions for the web. Additional information regarding TextDigger's other products (Automatic Content Tagging, Keyword Generation, and Related Search can be found at additional TextDigger Products.

Tag & Content Recommender

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.