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SMORE is a tool that allows users to markup their documents in RDF using web ontologies in association with user-specific terms and elements. The aim of this software is as follows: To provide the user with a flexible environment in which he can create his web page without too many hindrances involving markup To allow the user to markup his document with minimal knowledge of RDF terms and syntax. However, the user should be able to semantically classify his data set for annotation i.e. breakup sentences into the basic subject-predicate-object model To provide a reference to existing ontologies on the Internet in order to use more precise references in his own web page/text. The user can also create his own ontology from scratch and borrow terms from existing ontologies To ensure accurate and complete RDF markup with scope to make modifications easily

The Historical Event Markup and Linking project provides a means of coordinating and navigating disparate historical materials on the internet. It includes 1. an XML schema for historical events which describes the events' participants, dates, location and keywords; the schema associates these with source materials in print or on the web. 2. XSLT stylesheets that combine conforming documents and generate lists, maps and graphical timelines out of them. Heml integrates these resources using the Cocoon2 web publishing engine.

The Systems Biology Markup Language (SBML) is a computer-readable format for representing models of biochemical reaction networks in software. It's applicable to models of metabolism, cell-signaling, and many others. SBML has been evolving since mid-2000 thanks to an international community of software developers and users. This website is the portal for the global SBML development effort; here you can find information about all aspects of SBML.

Capturing knowledge by using markup techniques and by supporting semantic annotations is a major technique for creating metadata. It is beneficial in a wide range of content-oriented intelligent applications.

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.

SWiM is a semantic wiki for collaboratively building, editing and browsing a mathematical knowledge base. Its pages, containing mathematical theories, are stored in OMDoc, a markup format for mathematical knowledge. Our long-term objective is to develop a software that facilitates the creation of a shared, public collection of mathematical knowledge (e.g. for education) and serves work groups of mathematicians as a tool for collaborative development of new theories.

This poster presents ongoing efforts to enrich the RDF-based semantic Web with the tools of the Historical Event Markup and Linking Project (Heml). An experimental RDF vocabulary for Heml data is illustrated, as well as its use in storing and querying encoded historical events. Finally, the practical use of Heml-RDF is illustrated with a toolkit for the Piggy Bank semantic browser plugin.

OntoMat-Annotizer is a user-friendly interactive webpage annotation tool. It supports the user with the task of creating and maintaining ontology-based OWL-markups i.e. creating of OWL-instances, attributes and relationships. It include an ontology browser for the exploration of the ontology and instances and a HTML browser that will display the annotated parts of the text. It is Java-based and provide a plugin interface for extensions. The intended user is the individual annotator i.e., people that want to enrich their web pages with OWL-meta data. Instead of manually annotating the page with a text editor, say, emacs, OntoMat allows the annotator to highlight relevant parts of the web page and create new instances via drag?n?drop interactions. It supports the meta-data creation phase of the lifecycle. It is planned that a future version will contain an information extraction plugin, that offers a wizard which suggest which parts of the text are relevant for annotation. That aspect will help to ease the time-consuming annotation task.

There's a long-time debate between those who advocate for semantic markup, and those who believe that machine learning will eventually get us to the holy grail of a Semantic Web, one in which computer programs actually understand the meaning of what they see and read.

XFML lets you exchange hierarchical faceted metadata. It also lets you indicate topics in different published XFML documents are equal, thus allowing you to reuse indexing efforts. XFML borrows many ideas from Topicmaps, a format you should check out if you like the ideas behind XFML but are frustrated with its limitations (see http://topicmaps.org).