OptimizeR – Maximizing reuse across your DITA content
Presentation Abstract
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 maps and conref files?
Well now there is! Introducing DITA OptimizeR, Stilo’s new content optimization service. OptimizeR analyzes your DITA content collections for exact and near-exact matches and identifies reuse opportunities at topic and element levels. Following review, it automatically deduplicates content, updates the associated conref libraries and ditamaps and provides a report of all changes that have been implemented.
Join us for our tools spotlight at the IDEAS Online Conference 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 focused and rapid search engine results for customer queries and publish more accurate and normalized content.
Meet the Presenters
Helen St. Denis originally joined Stilo as a technical editor in the documentation team, and now works closely with Stilo Migrate customers, helping to analyse their legacy content and configure appropriate mapping rules. She also provides Migrate customer training and support. Over a period of several years, Helen has helped Migrate customers to convert tens of thousands of pages of content to DITA and custom XML. Helen holds a BA in English from St. Francis Xavier University in Antigonish, Nova Scotia and has pursued graduate studies at Queen’s University in Kingston Ontario.
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.