Nstein / Home / Web Publishing

By: Nstein  09-12-2011

Living in an information economy, means distribution of information is of paramount importance. Whether one is publishing content to the Internet or an intranet, issues surrounding Web publishing remain the same.

Difficult-to-use systems, create content that doesn’t meet best-practice standards, are the norm rather than the exception. These systems create content that isn’t properly tagged and is therefore less findable, visible and ultimately useful. For content-producers publishing to the web, not having your content web-optimized and intelligently enriched means it will generate less resulting in lower revenues.

Nstein’s powerful Web publishing solutions empower companies to produce & publish intelligent, market-ready material with ease, ensuring that content published on the Web is tuned for maximum ROI. Browse some applications of Nstein's Web publishing solutions below to gain an understanding of how Nstein provides top-to-bottom content optimization; from creation to delivery.

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Nstein has a team of dedicated linguists and researchers prepared to offer you analysis, customization, and configuration of your knowledge structures for customized categorization, entity extraction, and segmentation that will help fine-tune your TME installation. Nstein's customized taxonomies are an ideal solution to creating structures that are current and relevant to your content.


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A macroscopic understanding of content as well as unprecedented control over its delivery results in major productivity gains as well as a broadening of options for distribution and repurposing. Digital agility means content is ready to be turned around and repurposed at a moment’s notice. Organizations suffer from both a lack of access to and awareness of their content.


Nstein / Home / Semantic and Text Analysis

By applying a layer of rich, semantically annotated metadata atop content, Nstein can unlock its inherent value, making it more findable, visible, understandable, organized, centralized, and analysis-ready. Unstructured data gets trapped in silos across departments, making access to knowledge or research difficult, while limiting content repurposing and monetization opportunities.