Academic publisher, Taylor & Francis, is developing natural language processing technology to help machines understand books and journals. The goal is two-fold: to improve customers’ online experiences and create new tools to make the company more efficient. This interesting information came to our attention from The Bookseller in their article, “Taylor & Francis is bringing AI to academic publishing – but it isn’t easy.”
The first step extracts topics and concepts from text in any scholarly subject domain, and shows recommendations of additional content to online users based on what they are already reading, allowing them to discover new research more easily.
Additional steps will lead to semantic content enrichment for more improvements in areas such as relatedness, better searches, and finding peer reviewers and specialists on particular subjects.
With every smart use of semantic technology, it is important to remember that without thorough indexing against a solid taxonomy, semantic technology can’t make the connections necessary for true findability. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
