Structured Docs + Taxonomy: Finding New Answers in Your Content

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Presented by

Joe Pairman, Mekon, and Andreas Blumauer, Semantic Web Company

About this talk

We think of content as documents: articles, books, presentations, videos. However, readers focus not on the documents but on the answers that they may contain — the answers to questions such as "what is this for," "how do I," "why should I," and even "what is all the information on this particular subject." The tools of structured content let us sequence, chunk, and reuse information in a customer-friendly way. Yet, often a single chunk of information is not the whole answer — that answer lies in the meaningful connections between various pieces of content. Join me, Scott Abel, The Content Wrangler, and my guests, Joe Pairman of Mekon, and Andreas Blumauer, managing partner of the Semantic Web Company for this free webinar. Joe and Andreas will guide you on a journey that will show you how taxonomy helps us build meaningful connections so that readers can understand the big picture. They will talk about doing a better job of surfacing information for search engines—from Google to our own intranets. Ultimately, when granular chunks of content are networked with taxonomy tags as a knowledge graph, the system can answer questions that no-one has imagined yet — the myriad of messy, complex queries that arise in real-life knowledge-seeking. Key takeaways: • Benefits and principles of granular structured content, and how to prepare your own content for this new architecture. • Best practices for linking structured content to standards-based taxonomies and pitfalls to avoid • The underlying semantic architecture to build a truly mature and scalable approach to linking content and data ABOUT THE PRESENTERS Joe Pairman is Lead Consultant at Mekon Ltd., helping clients from healthcare to software realize the full potential of structured content and innovative information delivery with taxonomy. Andreas Blumauer is managing partner of the Semantic Web Company and is experienced with large-scale semantic technology projects in various industry sectors.

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