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Home›AI Use Case Library›All use cases›Metadata creation and management›Smart Topic Miner (STM)

Smart Topic Miner (STM)

24 March 2021

Smart Topic Miner is Springer Nature's ontology-driven tool for annotating Computer Science conference proceedings. Using the Computer Science Ontology, it matches editorial products to research topics, replacing manual annotation. In regular use by editors in Germany, China, Brazil, India and Japan, processing about 800 volumes a year.

Benefits & outcomes

Annotation time drastically reduced.

9.3 million additional downloads attributed to improved discoverability.

User study with 9 editors reported excellent usability.

Notes & quotes

"Our solution has drastically reduced the time needed to annotate proceedings and significantly improved their discoverability, resulting in 9.3 million additional downloads."


Publisher / company: Springer Nature
Date of mention: 24/03/2021
Source: https://arxiv.org/abs/2103.13527

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