The RDFa Working Group has published the First Public Working Draft of "RDFa API." RDFa enables authors to publish structured information that is both human- and machine-readable. Concepts that have traditionally been difficult for machines to detect, like people, places, events, music, movies, and recipes, are now easily marked up in Web documents. While publishing this data is vital to the growth of Linked Data, using the information to improve the collective utility of the Web for humankind is the true goal. To accomplish this goal, it must be simple for Web developers to extract and utilize structured information from a Web document. This document details such a mechanism; an RDFa Application Programming Interface (RDFa API) that allows simple extraction and usage of structured information from a Web document. http://www.w3.org/2010/02/rdfa/
Testing: September 2010 Archives
Arcturus Technologies, Inc. has announced the release of Applicare 6. With Applicare 6, you know 'who' is experiencing a slowdown and you can drilldown to 'why.” Traditionally companies have gathered Nth level data on every single transaction and then manually decided what is good and what is not.This not only wastes computing power, and the job of filtering data can be time consuming. Applicare IntelliSense automatically detects the rogue transactions and keeps the overhead on good transactions almost negligible. IntelliSense normally eliminates the need to monitor every single transaction and provides self detection capabilities with low overhead. In cases where you need to trace every transaction Applicare's BTM can handle the job nicely. http://www.arcturustech.com
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