OptimizeR – The key ingredient to maximizing reuse across your DITA content
Content reuse is a fundamental benefit of DITA adoption, providing huge efficiency gains to authoring teams and helping to ensure the consistency of published information across an enterprise. However, identifying potential reuse opportunities and implementing reuse strategies can be a painstaking and laborious process. As an increasing volume of content is authored in DITA across authoring teams, then invariably more content is replicated over a period of time.
So wouldn’t it be great if there was a way to automatically identify reuse potential across your DITA content, deduplicate topics and update your conref and topicref files?
Well now there is! Introducing DITA OptimizeR, Stilo’s new content optimization service. Attend our Technology Test Kitchen at DITA Europe 2018 for a demonstration of OptimizeR and learn how you can significantly reduce the amount of content that needs to be maintained on an ongoing basis, generate more focussed and rapid search engine results for customer queries and publish more accurate and normalized content.
Plus all Test Kitchen participants will be able to sample Stilo’s DITA OptimizeR for free!
We will be happy to analyse a sample of up to 60 pages of DITA content – details on how to participate will be provided at the Test Kitchen.
What can attendees expect to learn?
The audience will learn about a new content optimization service that can help them automatically identify reuse potential across their DITA content, deduplicate topics and update conref and topicref files. Plus all participants will be able to sample Stilo’s DITA OptimizeR for free.
Meet the Presenter
As VP, Development and Professional Services, Patrick heads up all new product development at Stilo and is actively engaged in the successful deployment of content processing solutions for publishing clients. Major ongoing product development efforts include OmniMark, the leading high-performance content processing platform; Migrate, the world’s first cloud XML content conversion service and AuthorBridge, a web-based XML editor for non-technical users. Patrick has been associated with best practices for complex content processing for over a decade, and has successfully delivered custom solutions on behalf of organizations in the automotive, airline, defence and commercial publishing sectors.
With a B.Sc. degree in Mathematics and a M.Sc. in Computer Science from McGill University, he leads an expert team of highly talented content processing specialists.