Structuring Data and Content Since 1981

Data Conversion/

Transformation

Convert and transform information into structured formats: XML, S1000D, DITA, SPL, proprietary schemas, and others.

Enrichment

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Enrich content with new or inferred metadata to improve the utility, discovery, and interoperability of content.

Entity Extraction

Extract free-form text from textual and form-based documents then generate target XML schema.

Data Harvesting

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Website harvesting and AI transformations that deliver structured data to your systems.

QA Validation

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Independent review of previously converted content.

Content Reuse

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Analyze large document collections to identify content reuse across multiple document sets and source formats.

Structured Content Delivery

Submit structured content to customer platforms such as PubMed, Silverchair, Highwire, and many more.

Content Transformation for Intelligent Content

The following is a guest post from SDL by Arpita Maity. Val Swisher, CEO of Content Rules shares her wisdom with Arpita about content str...

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The Language Metadata Table (LMT): Useful Resources and Links

The Language Metadata Table (LMT) was created to provide a unified source of reference for language codes.

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DCL DITA Day - EU / UK Edition

Thinking about modular content creation? Looking to implement DITA content architecture and workflow? Join us October 8 for DCL DITA Day!...

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Scholarly Publishing is Getting its Mainstream Moment

As the world continues to deal with a global pandemic, evidence-based science is having a mainstream moment.

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Harmonizer: The First Step in Identifying Content Redundancy

Finding duplicate content in a modestly sized content collection can be a real challenge.

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The Implications of FDA Drug Listing Requirements

The FDA strengthened the Final Rule for drug listings in the Federal Register. Understand what those changes are and how it impacts business

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