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A Modular Framework for Transforming Structured Data into HTML with Machine-Readable Annotations - PowerPoint PPT Presentation

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Poster IN53A - 1163. Data Portability and Reuse.

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Poster IN53A-1163

Data Portability and Reuse

The Framework is designed to be platform independent, allowing organizations to move between different content management systems to meet their growing needs. Additionally, since content can be transformed into XHTML, one can embed content on pages external to the site, e.g. researcher CVs, making it easier to manage pages across many different sites. Our framework operates over common ontologies such as FOAF, Dublin Core, OWL Time, VOID, RSS, iCal, etc.

A Modular Framework for Transforming Structured Data into HTML with

Machine-Readable Annotations

Evan Patton1 ([email protected]), Patrick West1 ([email protected]),Eric Rozell1 ([email protected]), Jin Guang Zheng1 ([email protected]), (1Rensselaer Polytechnic Institute 110 8th St., Troy, NY, 12180 United States)

For content management systems written in PHP, the framework provides a <sparql> meta-tag that performs queries, generates HTML, and includes form information in a page to provide all of the functionality necessary for data-powered content editing. This tag can be included alongside custom content by performing preprocessing of a page in Drupal or MediaWiki.

There are three key components that work in concert to provide data-driven web content:

Content generation by query using XML stylesheets

Form construction using RDFa hints

Update propagation to backing triple store

Custom Content

Turning Data into Web-accessible Content

Infobox XSL

Autogenerated Content

Interests XSL

Biography XSL

Affiliations XSL

Publications XSL


Benefits of RDFa

Poster: AGU-IN53A-1163


RPI – Rensselaer Polytechnic Institute

TWC – Tetherless World Constellation at Rensselaer Polytechnic Institute

RDFa – RDF Annotations for HTML

XML – The Extensible Markup Language

XSL – The XML Stylesheet Language

SPARQL – The SPARQL Protocol and RDF Query Language

RDFa embeds information about the structure of data into HTML pages, making it available for machines to use. For example, our system uses RDFa annotations to generate dynamic forms that allow users to edit the content of pages without needing to maintain two separate pages for each item (e.g., see right). Also, machine annotations can allow for smarter search over data, including the use of tools like faceted search and rich snippets, making it easier to disseminate information across the World Wide Web.


Evan Patton is funeded by a NSF Graduate Fellowship.

Thank you to our lab members who give continual feedback as we improve this framework.