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Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature

Salatino, Angelo; Osborne, Francesco; Birukou, Aliaksandr and Motta, Enrico (2019). Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature. In: 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, 26-30 Oct 2019, Auckland, New Zeeland, CEUR WS, (In Press).

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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.

Item Type: Conference or Workshop Item
Copyright Holders: 2019 The Authors
Keywords: Scholarly Data; Bibliographic Metadata; Topic Classification; Topic Detection; Scholarly Ontologies; Data Mining
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 66173
Depositing User: Angelo Salatino
Date Deposited: 16 Aug 2019 08:18
Last Modified: 17 Aug 2019 01:01
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These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

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