Skip to main content

Angelo Antonio Salatino

  • Home
  • Blog
  • Research
    • RESEARCH
    • RESEARCH PROJECTS
    • TECHNOLOGIES
  • Publications
  • Media
  • Around the Web
  • Get in touch

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

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

 

STM interface

“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 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.

Download paper (via ORO): link

Download paper (via CEUR): link

Proceedings: link

Link to the DEMO: http://rexplore.kmi.open.ac.uk/STM_demo/ 

Poster:

Smart Topic Miner, presented poster.
Smart Topic Miner, presented poster.
Download Nulled WordPress Themes
Free Download WordPress Themes
Download WordPress Themes Free
Download Nulled WordPress Themes
lynda course free download
download lava firmware
Premium WordPress Themes Download
udemy paid course free download

Share via:

  • Facebook
  • Twitter
  • LinkedIn
  • Email
  • Copy Link
  • Print
  • More
Bibliographic Data Conference Proceedings data mining Metadata Ontology Learning Scholarly Data Scholarly Ontologies

Post navigation

Automatic Classification of Springer Nature Proceedings with Smart Topic Miner
Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors

Tags

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

Categories

  • Antennas and Electromagnetic Compatibility (3)
  • Artificial Intelligence (34)
  • Award (3)
  • Book Reviews (1)
  • Compilers (2)
  • Control Methods (1)
  • Data Mining (43)
  • Electronics (7)
  • Events (10)
  • Graph Analysis (24)
  • Human Computer Interaction (10)
  • Image Processing (2)
  • Information Security (1)
  • Machine Learning (24)
  • Matlab (6)
  • Measurement Systems (2)
  • Media (4)
  • Network Science (14)
  • News (10)
  • Open Projects (11)
  • Photo (2)
  • Projects (16)
  • Publications (27)
    • Publications2013 (1)
    • Publications2014 (2)
    • Publications2015 (2)
    • Publications2016 (5)
    • Publications2017 (4)
    • Publications2018 (3)
    • Publications2019 (5)
    • Publications2020 (5)
  • Python (15)
  • R (4)
  • Science Of Science (17)
  • Semantic Web (43)
  • Signal Processing (5)
  • Slider (1)
  • Talk (6)
  • Teaching (7)
  • Telecommunication (3)
  • Text Processing (2)
  • Trend Analysis (8)
  • Tutorials (1)
  • Web Technologies (33)
  • Wikipedia (5)
  • World Wide Web (27)

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

Menu

  • Latest News
  • Media
  • Home
  • Blog
  • Publications
  • Research
  • Research Projects
  • Technologies
  • Around the Web
  • Licence
  • Get in touch

Quick Navigation

  • Latest News
  • Home
  • Blog
  • Publications
  • Research
  • Research Projects
  • Technologies
  • Media
  • Around the Web
  • Licence
  • Get in touch
  • Login

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

Tags

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
  • Login
  • Home
  • Get in touch
  • Licence
sparkling Theme by Colorlib Powered by WordPress
  • Facebook
  • Twitter
  • LinkedIn
  • Email
  • Copy Link
  • Print
  • More Networks
Share via
Facebook
Twitter
LinkedIn
Mix
Email
Print
Copy Link
Powered by Social Snap
Copy link
CopyCopied
Powered by Social Snap