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Supporting Springer Nature Editors by means of Semantic Technologies

By Angelo Salatino | 24 September 201716 May 2019• 2 minute read

“Supporting Springer Nature Editors by means of Semantic Technologies” is a research paper accepted to the Industry Track at the International Semantic Web Conference (ISWC) 2017 , 21-25 October 2017, Vienna, Austria.

Authors

Francesco Osborne, Angelo Salatino, Thiviyan Thanapalasingam, Aliaksandr Birukou and Enrico Motta

Abstract

The Open University and Springer Nature have been collaborating since 2015 in the development of an array of semantically-enhanced solutions supporting editors in i) classifying proceedings and other editorial products with respect to the relevant research areas and ii) taking informed decisions about their marketing strategy. These solutions include i) the Smart Topic API, which automatically maps keywords associated with published papers to semantically characterized topics, which are drawn from a very large and automatically-generated ontology of Computer Science topics; ii) the Smart Topic Miner, which helps editors to associate scholarly metadata to books; and iii) the Smart Book Recommender, which assists editors in deciding which editorial products should be marketed in a specific venue.

Download paper (via ORO): link

@FraOsborne presenting collaborative work with @birukou on scholarly recommendations @kmiou @edsa_project @iswc2017 pic.twitter.com/AI6uJrdMXs

— John Domingue (@johndmk) October 23, 2017

My slides about ‘Supporting @SpringerCompSci Editors by means of Semantic Technologies’ at @iswc2017 : https://t.co/l1ctpln187 @kmiou

— Francesco Osborne (@FraOsborne) October 23, 2017

Presenting our collaboration between @kmiou and @SpringerNature @iswc2017 pic.twitter.com/6HyICaW64v

— Andrea Mannocci (@andremanno) October 23, 2017

Slides


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