How can scholarly publishers employ artificial intelligence?
Like any other publishing technology, artificial intelligence (AI) should make the research experience productive, increase content usage, and add value to the publisher’s content. Researchers at Atypon, a California, USA-based developer of software essential to the success of online publishers, are exploring various ways to leverage AI. Hong Zhou, Senior Product Manager for Information Discovery and AI at Atypon gives us an overview of the developments.
To begin with, publishers can use AI to interpret the online behavior of their customers and target them with relevant products according to their individual interests. Similarly, search can be personalized to each customer by leveraging AI-driven recommendation technology. In addition, intelligent machine learning algorithms can power auto-taggers to tag articles accurately and identify wrongly assigned tags, thus making it easier for publishers to implement and manage taxonomies. Moreover, publishers can leverage natural language processing (NLP) to extract key phrases from various sections of the content and rank them based on their importance. This would ultimately improve content categorization and, by extension, content discovery.
Furthermore, based on the connections charted by knowledge graphs, AI can be used to develop algorithms, which will help researchers. For instance, researchers can leverage the algorithms to find entities; trending topics; and even co-authors and reviewers in their area of specialization. Equally, machine learning can be used to extract sub-figures and captions from compound figures and even separate labels from their associated images. This will enable each item to be searched and retrieved individually. Besides, the automation will help publishers reduce the cost of segmentation, and extract and organize valuable information so that researchers can search, compare, and recommend images more precisely and easily.
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