2007-12-15 AGU Presentation Web 2.0

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Title: Mashup of Tools Through Interoperability Standards RSS, RDF, KML and XSL Date: December 15, 2007 Location: San Fransisco, CA Report Formats: PPT | [No Screencast] [No Word] | [No PDF]

[edit] Abstract submitted to the 2007 Fall AGU Meeting, San Fransisco

Session IN 05 Description

[edit] Mashup of Tools through Interoperability Standards RSS, RDF, KML and XSL

E.M. Robinson, M. Kieffer, S. Kovacs, S.R. Falke, R.B. Husar

Considerable effort is being devoted to the development, and testing of interoperability standards for data access, such as the OGC Web Services WMS/WCS/WFS. The federated data system, DataFed, developed as a broad partnership utilizes these data access standards to deliver a rich array of quantitative air quality and geospatial data to any client application. Recent advances in standardization also allow the linking of distributed applications through the exchange of additional data types: The Really Simple Syndication (RSS) standard facilitates the exchange of simple text records (e.g. annotated bookmarks). The Resource Description Framework (RDF) standard allows the formal description of semantically rich data structures. The Google Keyhole Markup Language (KML) is the standard way to encode/render geospatial data and metadata. The EMBED standard facilitates the incorporation of web content from one server into the web page from another server. Use of these standards now permits the easy creation of user-defined application "mashups" that transform/integrate various data/metadata streams. Wikis, originally used to collaboratively write documents, are now also used as a host for integrating mashups. For example, we will illustrate wiki pages that can receive RSS feeds from Del.icio.us, blogs, etc. A semantically enhanced wiki is used to create and manage structured metadata, which is shared through the RDF standard. Content from Google Maps, videos from YouTube, PPT slides from SlideShare are integrated into wiki pages through the EMBED standard. Mashups between the DataFed data access system and GoogleEarth using KML, XSL and RDF will also be demonstrated.