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Tag: Metadata

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 […]

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Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies

By Angelo Salatino | 16 October 201616 May 2019• 2 minute read

  “Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies” is poster paper presented at the Poster and Demo session [D45] on Wednesday 19th October 2016 at the 15th International Semantic Web Conference in Kobe, Japan Authors: Francesco Osborne, Angelo Antonio Salatino, Aliaksandr Birukou and Enrico Motta Abstract: Academic publishers, such as Springer Nature, annotate scholarly products […]

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Automatic Classification of Springer Nature Proceedings with Smart Topic Miner

By Angelo Salatino | 16 October 201605 June 2020• 2 minute read

  “Automatic Classification of Springer Nature Proceedings with Smart Topic Miner” is conference paper presented on Friday 21st October 2016 at the 15th International Semantic Web Conference in Kobe, Japan Authors: Francesco Osborne, Angelo Antonio Salatino, Aliaksandr Birukou and Enrico Motta Abstract: The process of classifying scholarly outputs is crucial to ensure timely access to knowledge. However, this […]

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Recent Posts

  • Clique Percolation Method in Python 29 December 2020
  • ISWC2020 – BEST DEMO OF THE DAY AWARD 24 December 2020
  • Applying Machine Learning Techniques to Big Data in the Scholarly Domain 12 November 2020
  • Finalists at DataIQ 2020 Awards 01 October 2020
  • The AIDA Dashboard: Analysing Conferences with Semantic Technologies 19 September 2020

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Recent Posts

  • Clique Percolation Method in Python 29 December 2020
  • ISWC2020 – BEST DEMO OF THE DAY AWARD 24 December 2020
  • Applying Machine Learning Techniques to Big Data in the Scholarly Domain 12 November 2020
  • Finalists at DataIQ 2020 Awards 01 October 2020
  • The AIDA Dashboard: Analysing Conferences with Semantic Technologies 19 September 2020
  • AIDA Dashboard 01 September 2020
  • Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium 16 August 2020
  • ‘PhD Survival Guide’, Angelo and Akshika, The Open University 11 August 2020

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Bibliographic Data big data clique community detection Conference Proceedings data mining data science Digital Libraries emerging topics ffmpeg graph igraph Knowledge Graph Machine Learning Matlab Metadata mksmart mobility Ontologies Ontology ontology engineering Ontology Learning phd podcasts Qt Framawork R research Research Dynamics Research Trend Detection rexplore Safety Scholarly Data Scholarly Ontologies science of science semantic web sparql Speech emotion recognition springer summer school Text Mining topic detection Topic Discovery Topic Emergence Detection topic ontology www
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