The last 30 years in scholarly communications have shown a steady trend towards digital content creation and delivery, especially for journals. The industry focus has now moved from print to online. However, online delivery may be influenced by print predilections. This interesting topic came to us from Research Information in their article, “‘Genuinely disruptive’.”
Academics have a continued preference for reading PDF rather than any other format online. Is it because they are printing it to read later, or does the clean white paper format fit their preferences for print?
Machine learning will have an impact throughout the publishing life cycle, from discovery to authoring, classification and presentation. The publishers most likely to succeed from this new technology will be smaller, more innovative organizations that are less committed to current academic publishing processes.
The most successful machine learning innovations will be the ones that do not require extensive in-house technical teams to manage the technology. Instead, the machine learning tools will be delivered in a user-friendly way that does not require technical expertise.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
