“Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature” is a demo paper submitted to the poster and demo session of the International Semantic Web Conference, October 26 – 30, 2019 The University of Auckland, New Zealand.
Angelo A. Salatino1, Francesco Osborne1, Aliaksandr Birukou2, Enrico Motta1
1 Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK
2 Springer-Verlag GmbH, Tiergartenstrasse 17, 69121 Heidelberg, Germany
Producing a robust and comprehensive representation of the research topics covered by a scientific publication is a crucial task that has a major impact on its retrievability and consequently on the diffusion of the relevant scientific ideas. Springer Nature, the world’s largest academic book publisher, has typically entrusted this task to the most expert editors, which had to manually analyse new books and produce a list of the most relevant topics. To support Springer Nature in this task, we developed Smart Topic Miner, an application that assists the editorial team in annotating proceedings books according to a large-scale ontology of research areas. Over the past three years, we evolved this application according to the editors’ feedback and developed a new engine, a new interface, and several other functionalities. In this demo paper, we present Smart Topic Miner 2, the most recent version of the tool, which is being regularly utilized by editors in Germany, China, Brazil, and Japan to annotate all book series covering conference proceedings in Computer Science, for a total of about 800 volumes per year.
Download from ORO: http://oro.open.ac.uk/66173/
- Improving Editorial Workflow and Metadata Quality at Springer Nature
- Supporting Springer Nature Editors by means of Semantic Technologies
- Automatic Classification of Springer Nature Proceedings with Smart Topic Miner
A live demo of STM is available at https://stm-demo.kmi.open.ac.uk