Academic publishers, such as Springer Nature, annotate scholarly products with the appropriate research topics and keywords to facilitate the marketing process and to support (digital) libraries and academic search engines. This critical process is usually handled manually by experienced editors, leading to high costs and slow throughput. In this demo paper, we present Smart Topic Miner (STM), a semantic application designed to support the Springer Nature Computer Science editorial team in classifying scholarly publications. STM analyses conference proceedings and annotates them with a set of topics drawn from a large automatically generated ontology of research areas and a set of tags from Springer Nature Classification.

Osborne, F., Salatino, A., Birukou, A., Motta, E. (2016). Smart topic miner: Supporting springer nature editors with semantic web technologies. In 2016 Posters and Demonstrations Track, ISWC P and D 2016. CEUR-WS.

Smart topic miner: Supporting springer nature editors with semantic web technologies

Osborne F;
2016

Abstract

Academic publishers, such as Springer Nature, annotate scholarly products with the appropriate research topics and keywords to facilitate the marketing process and to support (digital) libraries and academic search engines. This critical process is usually handled manually by experienced editors, leading to high costs and slow throughput. In this demo paper, we present Smart Topic Miner (STM), a semantic application designed to support the Springer Nature Computer Science editorial team in classifying scholarly publications. STM analyses conference proceedings and annotates them with a set of topics drawn from a large automatically generated ontology of research areas and a set of tags from Springer Nature Classification.
Si
poster
Scientifica
Bibliographic data; Conference proceedings; Data mining; Metadata.; Ontology learning; Scholarly data; Scholarly ontologies;
English
2016 Posters and Demonstrations Track, ISWC P and D 2016 - 19 October 2016
Osborne, F., Salatino, A., Birukou, A., Motta, E. (2016). Smart topic miner: Supporting springer nature editors with semantic web technologies. In 2016 Posters and Demonstrations Track, ISWC P and D 2016. CEUR-WS.
Osborne, F; Salatino, A; Birukou, A; Motta, E
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/381537
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