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Content-to-data is a global trend in the Information Community and publishers are at the heart of this transition. Secondary Publishers (database producers) face strong headwinds in the building of revenue growth, but at the same time sit on massive amounts of data that has been curated and indexed over decades. Big Data technologies such as Machine Learning, Artificial Intelligence, and linked data are finally coming of age to help create new services for both primary and secondary publishers, unlocking new meaning and relevance to both open data, and proprietary content assets. This paper provides an insight into the proprietary technologies developed at Molecular Connections and how these can be leveraged to generate a new lease of life for services in a maturing secondary publishing market.

Transforming 50 years of data: A machine learning approach to create new revenue streams for traditional publishers