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  • E-mailMarc.Gallofre@uib.no
  • Visitor Address
    Fosswinckels gate 6
  • Postal Address
    Postboks 7802
    5020 Bergen

For news organizations to survive, they must embrace big data and artificial intelligence (AI) technologies. They may use these technologies as independent applications for analysing and extracting newsworthy information from social media and textual data from world news in real-time. But they will struggle on the digitalization path to get everything to work together. Marc’s research aims to assist news organisations in the digital transition to integrated AI- and big data-assisted news production. To better integrate these technologies into a complex system, his research includes the design of a software reference architecture for such systems and the study of the technical challenges and opportunities behind them.

Marc Gallofré Ocaña as a PhD candidate at the University of Bergen is part of the Intelligent Information Systems (I2S) research group, and he is working on the News Angler project.  Marc holds a BSc in Informatics Engineering as well as an MSc in Innovation and Research in Informatics from the Polytechnic University of Catalonia-BarcelonaTech, Barcelona School of Informatics. As part of his PhD and work on the News Angler project, he is currently developing a big data platform for detecting news angles and events using machine learning, natural language processing and knowledge graphs.

He has broad interests in digitalization processes and software engineering, especially in software and enterprise architectures, and digital transformation of Public and Higher Education institutions.

Before joining as a PhD student he was working as a Business Intelligent consultant, founded a student association for connecting IT companies with students, and was involved in the school board and several committees at the Barcelona School of Informatics.

 

 

Knowledge Graphs (INFO216)

Academic article
  • Show author(s) (2021). Identifying Events from Streams of RDF-Graphs Representing News and Social Media Messages. Lecture Notes in Computer Science (LNCS). 186-194.
  • Show author(s) (2021). Developing a Software Reference Architecture for Journalistic Knowledge Platforms. CEUR Workshop Proceedings.
  • Show author(s) (2020). Lifting news into a journalistic knowledge platform. CEUR Workshop Proceedings.
  • Show author(s) (2020). Data Privacy in Journalistic Knowledge Platforms. CEUR Workshop Proceedings.
  • Show author(s) (2020). Challenges and Opportunities for Journalistic Knowledge Platforms. CEUR Workshop Proceedings.
  • Show author(s) (2019). Towards a Big Data Platform for News Angles. CEUR Workshop Proceedings. 17-29.
Academic lecture
  • Show author(s) (2021). The News Hunter platform.
  • Show author(s) (2021). News Angler - finding entities for a LOCAL news angle.
  • Show author(s) (2021). Identifying Events from Streams of RDF-Graphs Representing News and Social Media Messages.
  • Show author(s) (2021). Developing a Software Reference Architecture for Journalistic Knowledge Platforms.
  • Show author(s) (2020). Towards a Blockchain and Smart Contracts-Based Privacy Framework for Decentralized Data Processing.
  • Show author(s) (2020). Data Privacy in Journalistic Knowledge Platforms.
  • Show author(s) (2020). Challenges and Opportunities for Journalistic Knowledge Platforms.
  • Show author(s) (2019). Detecting newsworthy events in a journalistic platform.
  • Show author(s) (2018). Towards a Big Data Platform for News Angles.
Academic chapter/article/Conference paper
  • Show author(s) (2020). Towards a Blockchain and Smart Contracts-Based Privacy Framework for Decentralized Data Processing.
Poster
  • Show author(s) (2021). Detection of events in real-time news streams with dark entities using knowledge graphs .
  • Show author(s) (2019). A reference architecture for Big Data Knowledge Graphs-Based Systems to Support Journalists.
Academic literature review
  • Show author(s) (2020). Named entity extraction for knowledge graphs: A literature overview. IEEE Access. 32862-32881.

More information in national current research information system (CRIStin)