With the amount of data in the world doubling every two to three years, finding just the right information gets more difficult literally by the minute. Aptara helps content-driven organizations create intelligent, rules-based indexing systems that simplify access for their end-users.

Having worked with the world’s largest publishers and information-centric companies for more than 20 years, Aptara’s subject matter experts are skilled at tagging content in complex and diverse disciplines and crafting meaningful, concise abastracts so your customers derive greater value from your content. 

Abstracting & Indexing Offerings

• News Abstracts Summaries of articles, press releases and other news content that provide detailed information tailored to an industry or topic.
• Customized Abstracts Abstracts structured according to customers’ guidelines, methodology, format, and purpose.  Based on pre-defined topics, industries, timelines, format and indexing.
• Structured Abstracts Used for clinical research articles, these abstracts follow a defined structure and organization, often adhering to a recognized, established format, e.g., patent abstracts for patent application documents.
• Indexing Assignment of topical headings by subject, geography, event, numeric value, document, context, photo/image, book, name and/or subject descriptors.  Can also include key wording-in-context, cataloging, reverse indexing, legal and bibliographic indexing.
• Semantic Tagging and Taxonomies Creation of tags and taxonomies based on synonyms, abbreviations, acronyms and spelling variations to derive meaningful key words.  Inserting taxonomies in abstracts and indexes results in user-friendly Internet searching.

The Aptara Advantage

• Data model creation expertise using a range of standards
• Expert knowledge of XML technologies and semantic web standards
• Subject matter experts with degrees in specialized disciplines and domains
• Experience implementing complex technology solutions with content mark-ups
• Experience creating taxonomies based on user search criteria, key words and content scanning

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