Smart Content is semantically enriched content. It fuels Smart Business at content-concerned organizations, meaning just about all of us, content producers and publishers and content consumers alike. The why and how — content analytics technology, applications, and benefits — are topics I covered in my July 6, 2011 IKS Community Workshop keynote, “Smart Content = Smart Business.”
By way of background — The IKS project aims to add semantically rooted capabilities to content management: semantic search, content enrichment, support for intelligent user interfaces (“semantic navigation”), even support for reasoning, for automated inference, over managed content. Yet the semantic annotations that affix meaning to managed content are rarely born with the content. It’s not that users are lazy. Rather, they’re writing for an immediate audience and not for wider reuse, and authoring and publishing tools do not make it easy to create annotated content, or even to create a rich set of metadata describing content.
Content analytics can fill the gap. Content analytics — natural language processing (NLP) and also, increasingly, automated tagging and information extraction from speech/audio, images, and video — is sense-making technology, whether applied by content consumers, each with individual information needs, or by content producers and publishers, who seek to make their content findable, usable, and useful.
There are many content and text analytics options on the broad market. Some are open source. Many are packaged as tools or deliver capabilities as-a-service, via Web APIs. Some are great at named entity recognition (NER) while others go beyond entities to fact, event, and sentiment extraction. Some target particular business domains while others are general purpose. Many support only English while others tackle a broad array of human languages. (One place to learn more is my free report, “Text/Content Analytics 2011: User Perspectives on Solutions and Providers,” which you can download via http://altaplana.com/TA2011. And if you’re interested in attitudes and emotion in content, check out a conference I organize, the Sentiment Analysis Symposium.)
Apache Stanbol, provides a selection of “open source, RESTful semantic engines,” that add semantics to content within the IKS (Apache Stanbol) framework.
The IKS framework allows you to explore semantic options. It’s a step toward Smart Content, enabling Smart Business. Do view my July 6 workshop keynote to learn more.
Seth Grimes keynote at the IKS Paris workshop, July 6, 2011