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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.

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tag tagging semantic metadata common tag social tagging search freebase dbpedia

The combination of classification, search enhancement, and contextual navigation delivers Findability.

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search tags tagging classification taxonomy findability

Keotag lets users search for tags across 14 different sites, from Reddit to Ice Rocket.Keotag will also generate folksonomy tags for a blog post, or submit a bookmark to multiple sites.

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search tags web2.0 tagging tag tools searchengine

Extreme Tagging Systems allow for tagging the tags and tagging relations between the tags.

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twine tags tagging extreme tagging

TagMaps is a toolkit to visualize text (well, tags) geographically on a map.

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yahoo maps mashup map tags tagging web2.0 visual sensemaking sensemaking

# The primary intention of creating aTags is not the categorization of the document, but the representation of the key facts inside the document. Key facts in the biomedical domain might be, for example, “Protein A interacts with protein B” or “Overexpression of protein A in tissue B is the cause of disease C”.
# An aTag is comprised of a set of associated entities. The size of the set is arbitrary, but will typically lie between 2 and 5 entities. For example, the fact “Protein A binds to protein B” can be represented with an aTag comprising of the three entities “Protein A”, “Molecular interaction” and “Protein B”. Similarly, the fact “Overexpression of protein A in tissue B is the cause of disease C” can be represented with an aTag comprising of the four entities “Overexpression”, “Protein A”, “Tissue B” and “Disease C”.
# Each document or database entry can be described with an arbitrary number of such aTags. Each aTag can be associated with the relevant portions of text or data in a fine granularity.
#

The entities in an aTag are not simple strings, but resources that are part of ontologies and RDF/OWL-enabled databases. For example, “Protein A” and “Protein B” are resources that are defined in the UniProt database, whereas “Molecular Interaction” is a class in the branch of biological processes of the Gene Ontology. They are identified with their URIs.

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atags biordf bio-ontologies bioinformatics tags tagging

Social bookmarking is a powerful tool in promoting a website. But going through all of those social bookmarking sites is very time-consuming and downloading all toolbars is madness! That's where SocialMarker.com comes in, the free service designed to reduce the time and effort needed to socially bookmark a website.

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bookmarking social web2.0 socialbookmarking tools web tagging socialmarker

Libraries using del.icio.us

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delicious library2.0 socialbookmarking web2.0 tagging Library libraries mélange

The intelligence aspect is that our tags have defined meanings, so when you tag a page, you are assigning it a definition rather than a simple word that could have multiple meanings. Having defined tags is what sets Zigtag apart from other social bookmarking web sites.

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tagging zigtag semantic social web2.0 search tools

My topics of main interest are: 1) Associative Tags; 2) Agreement, Disagreement, discourse; 3) Corporate Semantic Web, 4) Are upper level ontologies/vocabularies not so bad after all?, 5) Cleaner schemas and ontologies

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vocamp vocabularies dialogue sensemaking tags tagging ontologies

TagCrowd is a web application for visualizing word frequencies in any user-supplied text by creating what is popularly known as a tag cloud or text cloud.
TagCrowd is taking tag clouds far beyond their original function:

* as topic summaries for speeches and written works
* as blog tool or website analysis for search engine optimization (SEO)
* for visual analysis of survey data
* as brand clouds that let companies see how they are perceived by the world
* for data mining a text corpus
* for helping writers and students reflect on their work
* as name tags for conferences, cocktail parties or wherever new collaborations start
* as resumes in a single glance
* as visual poetry

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tagging web2.0 tags tools visualization tagcloud tag cloud sensemaking

As computers and computer networks become more sophisticated, a huge amount of information, such as that found in Web documents, has been accumulated and circulated. Such information gives people a framework for organizing their daily lives. A well-functioning society needs technology that can be used to manage this wealth of information and, in particular, investigate its credibility. This technology would be able to handle a wide range of tasks: extracting credible information related to a given topic, organizing this information, detecting its provenance, clarifying background, facts, and various related opinions and the distribution of them, and so on. Especially, as the Web is becoming a major source of information nowadays, it is necessary to provide efficient and reliable methods for evaluation of Web content's trustworthiness. The aim of this workshop is to provide a forum for discussion on issues related to information credibility criteria and the process of its evaluation.

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cikm information organization information credibility sensemaking information extraction tagging credibility

Efficient assembly of social semantic networks

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givealink tags tagging paper

An individual may create or reinforce a relationship
between two resources by applying a common tag or organizing them in a common folder. This has led to the exploration of techniques for building networks of resources, categories, and people using the social annotations. In order for these techniques to move from the lab to the real world, efficient building and maintenance of these potentially large networks remains a major obstacle. Methods for assembling and indexing these large networks will allow researchers to run more rigorous assessments of their proposed techniques. Toward this goal we explore an approach from the sparse matrix literature and apply it to our system, GiveALink.org. We also investigate distributing the assembly, allowing us to grow the network with the body of resources, annotations, and users.

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givealink tagging tags

This is the official website of the TAGora project, a STREP project funded by the European Commission in the framework of the FET proactive initiative “Simulating Emergent Properties in Complex Systems”.

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folksonomy tagging research socialsoftware tagora academic web2.0 sensemaking

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

While tags are widely used in Web 2.0 services, their lack of machine-understandable meaning can be a problem for information retrieval, especially when people use tags that can have different meanings depending on the context.

MOAT aims to solve this by providing a way for users to define meaning(s) of their tag(s) using URIs of Semantic Web resources (such as URIs from dbpedia, geonames … or any knowledge base), and then annotate content with those URIs rather than free-text tags, leveraging content into Semantic Web, by linking data together. Moreover, tag meanings can be shared between people, providing an architecture of participation to define and exchange potential meanings of tags within a community of users.

To achieve this goal, MOAT relies on an architecture that can be deployed for any organisation or community and that involves a lightweight ontology, a MOAT server, and some third-party clients .

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tagging semanticweb MOAT ontology semantic tag tags rdf php opensource

This paper addresses the issue of text normalization,
an important yet often overlooked
problem in natural language processing.
By text normalization, we mean
converting ‘informally inputted’ text into
the canonical form, by eliminating ‘noises’
in the text and detecting paragraph and sentence
boundaries in the text.

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TextMining pdf paper nlp tagging conditional-random-field

Personal knowledge management is becoming one of the most critical skills that information workers like journalists, marketers and PR pros need to succeed today. Specifically, I am talking about the efficient collecting, processing and weeding of massive amounts of data. In this post I want to offer tips on how to take full advantage of tagging information in Gmail.

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knowledge management gmail sensemaking tagging search

tagCare lets you to maintain all your tags jointly in one place, which is especially useful if you normally use several of these different platforms. Many users apply a variety of different tags within different platforms - and finally get lost among them. For example, it is hard to keep track of consistent spelling variants (e.g. not using "science_fiction" in one case and "scienceFiction" in the other) or of preferred terms (e.g. not using "bike" in one case and "bicycle" in the other). Some documents may be tagged with the general term "dog", others more specifically with "greyhound" or "border_collie". tagCare will help you to apply some structure to your tagging vocabulary so that you will more easily navigate through vocabulary choices and use tags more consistently. In tagCare, a user can assemble all tags which he has used within different systems and may then create his own vocabulary hierarchy, synonym collections and cross-references to related terms to establish some lightweight form of controlled vocabulary. This process is also called "tag gardening". Edited and structured tags will then be used to browse document collections in other platforms and to directly tag documents out of tagCare. tagCare is still under development, a first demo version will be available soon and more features will then be added step by step. tagCare will first support Flickr, Bibsonomy and del.icio.us.

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tagcare tagging vocabularies gardening spelling hierarchy synonyms

s Richard MacManus recently predicted, in 2008 we’ll witness the rise of semantic web services. From the native support for Microformats in Firefox 3, to the New York Times’ utilization of rich headers metadata, to this week’s release of the Social Graph API by Google, semantics are starting to slip onto the web. The impact is being felt because large companies are really starting to focus on structured information.

In the same vein, last week Reuters - an international business and financial news giant - launched an API called Open Calais. The API does a semantic markup on unstructured HTML documents - recognizing people, places, companies, and events. This technology is the next generation of the Clear Forest offering, which Reuters acquired last year. We have profiled Clear Forest on ReadWriteWeb and in this post we will look at what Reuters opened up and why.

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iskold reuters opencalais tagging microformat social networks