• Addendum to: "Combined Assessment of Software Safety and Security Requirements - An Industrial Evaluation of the CHASSIS Method'' 

      Raspotnig, Christian; Karpati, Peter; Opdahl, Andreas Lothe (Others, 2017-07-19)
      This addendum contains further details about the two case studies reported in our paper Combined Assessment of Software Safety and Security Requirements - An industrial evaluation of the CHASSIS method.
    • Analysis and Design of Computational News Angles 

      Motta, Enrico; Daga, Enrico; Opdahl, Andreas Lothe; Tessem, Bjørnar (Journal article; Peer reviewed, 2020)
      A key skill for a journalist is the ability to assess the newsworthiness of an event or situation. To this purpose journalists often rely on news angles, conceptual criteria that are used both i) to assess whether something ...
    • Challenges and Opportunities for Journalistic Knowledge Platforms 

      Gallofré Ocaña, Marc; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2020)
      Journalism is under pressure from loss of advertisement and revenues, while experiencing an increase in digital consumption and user demands for quality journalism and trusted sources. Journalistic Knowledge Platforms ...
    • Construction of a relevance knowledge graph with application to the LOCAL news angle 

      Tessem, Bjørnar; Gallofré Ocaña, Marc; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2023)
      News angles are approaches to journalism content often used to provide a way to present a new report from an event. One particular type of news angle is the LOCAL news angle where a local news outlet focuses on an event ...
    • Data Privacy in Journalistic Knowledge Platforms 

      Gallofré Ocaña, Marc; Al-Moslmi, Tareq; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2020)
      Journalistic knowledge platforms (JKPs) leverage data from the news, social media and other sources. They collect large amounts of data and attempt to extract potentially news-relevant information for news production. At ...
    • Developing a Software Reference Architecture for Journalistic Knowledge Platforms 

      Gallofré Ocaña, Marc; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2021)
      For news organizations to survive and thrive in today’s media landscape, they must utilize big data and artificial intelligence technologies effectively. News organizations that want to exploit techniques like machine ...
    • Evaluating the Effectiveness of GPT Large Language Model for News Classification in the IPTC News Ontology 

      Fatemi, Bahareh; Rabbi, Fazle; Opdahl, Andreas Lothe (Peer reviewed; Journal article, 2023)
      News classification plays a vital role in newsrooms, as it involves the time-consuming task of categorizing news articles and requires domain knowledge. Effective news classification is essential for categorizing and ...
    • From expert discipline to common practice: a vision and research agenda for extending the reach of enterprise modeling 

      Sandkuhl, Kurt; Fill, Hans-Georg; Hoppenbrouwers, Stijn; Krogstie, John; Matthes, Florian; Opdahl, Andreas Lothe; Schwabe, Gerhard; Uludag, Ömer; Winter, Robert (Peer reviewed; Journal article, 2018-02)
      The benefits of enterprise modeling (EM) and its contribution to organizational tasks are largely undisputed in business and information systems engineering. EM as a discipline has been around for several decades but is ...
    • A knowledge-graph platform for newsrooms 

      Berven, Arne; Christensen, Ole Andreas; Moldeklev, Sindre; Opdahl, Andreas Lothe; Villanger, Kjetil Jacobsen (Journal article; Peer reviewed, 2020)
      Journalism is challenged by digitalisation and social media, resulting in lower subscription numbers and reduced advertising income. Information and communication techniques (ICT) offer new opportunities. Our research group ...
    • Making sense of nonsense : Integrated gradient-based input reduction to improve recall for check-worthy claim detection 

      Sheikhi, Ghazaal; Opdahl, Andreas Lothe; Touileb, Samia; Setty, Vinay (Chapter, 2023)
      Analysing long text documents of political discourse to identify check-worthy claims (claim detection) is known to be an important task in automated fact-checking systems, as it saves the precious time of fact-checkers, ...
    • Named Entity Extraction for Knowledge Graphs: A Literature Overview 

      Al-Moslmi, Tareq Abdo Abdullah; Gallofré Ocaña, Marc; Opdahl, Andreas Lothe; Veres, Csaba (Journal article; Peer reviewed, 2020)
      An enormous amount of digital information is expressed as natural-language (NL) text that is not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for representing information in ...
    • Ontologies for finding journalistic angles 

      Opdahl, Andreas Lothe; Tessem, Bjørnar (Journal article; Peer reviewed, 2020-06)
      Journalism relies more and more on information and communication technology (ICT). ICT-based journalistic knowledge platforms continuously harvest potentially news-relevant information from the Internet and make it useful ...
    • Responsible media technology and AI: challenges and research directions 

      Trattner, Christoph; Jannach, Dietmar; Motta, Enrico; Meijer, Irene Costera; Diakopoulos, Nicholas; Elahi, Mehdi; Opdahl, Andreas Lothe; Tessem, Bjørnar; Borch, Njål Trygve; Fjeld, Morten; Øvrelid, Lilja; De Smedt, Koenraad; Moe, Hallvard (Journal article; Peer reviewed, 2021)
      The last two decades have witnessed major disruptions to the traditional media industry as a result of technological breakthroughs. New opportunities and challenges continue to arise, most recently as a result of the rapid ...
    • Semantic Knowledge Graphs for the News: A Review 

      Opdahl, Andreas Lothe; Al-Moslmi, Tareq; Dang Nguyen, Duc Tien; Gallofré Ocaña, Marc; Tessem, Bjørnar; Veres, Csaba (Journal article; Peer reviewed, 2022)
      ICT platforms for news production, distribution, and consumption must exploit the ever-growing availability of digital data. These data originate from different sources and in different formats; they arrive at different ...
    • A software reference architecture for journalistic knowledge platforms 

      Gallofré Ocaña, Marc; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2023)
      Newsrooms and journalists today rely on many different artificial-intelligence, big-data and knowledge-based systems to support efficient and high-quality journalism. However, making the different systems work together ...
    • Supplementary materials to "Load-Time Reduction Techniques for Device-Agnostic Web Sites" by Eivind Mjelde & Andreas L. Opdahl 

      Mjelde, Eivind; Opdahl, Andreas Lothe (Data set, 2017-01)
      This package provides additional materials to the paper "Load-Time Reduction Techniques for Device-Agnostic Web Sites" by Eivind Mjelde & Andreas L. Opdahl published in Journal of Web Engineering. The package has three ...
    • Supporting Newsrooms with Journalistic Knowledge Graph Platforms: Current State and Future Directions 

      Ocaña, Marc Gallofré; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2022)
      Increasing competition and loss of revenues force newsrooms to explore new digital solutions. The new solutions employ artificial intelligence and big data techniques such as machine learning and knowledge graphs to manage ...
    • Towards a Big Data Platform for News Angles 

      Gallofré Ocaña, Marc; Nyre, Lars; Opdahl, Andreas Lothe; Tessem, Bjørnar; Trattner, Christoph; Veres, Csaba (Peer reviewed; Journal article, 2019)
      Finding good angles on news events is a central journalistic and editorial skill. As news work becomes increasingly computer-assisted and big-data based, journalistic tools therefore need to become better able to support ...
    • Towards Ontological Support for Journalistic Angles 

      Opdahl, Andreas Lothe; Tessem, Bjørnar (Peer reviewed; Journal article, 2019)
      Journalism relies more and more on information and communication technology (ICT). New journalistic ICT platforms continuously harvest potentially news-related information from the internet and try to make it useful for ...
    • Trustworthy journalism through AI 

      Opdahl, Andreas Lothe; Tessem, Bjørnar; Dang Nguyen, Duc Tien; Motta, Enrico; Setty, Vinay; Throndsen, Eivind; Tverberg, Are; Trattner, Christoph (Journal article; Peer reviewed, 2023)
      Quality journalism has become more important than ever due to the need for quality and trustworthy media outlets that can provide accurate information to the public and help to address and counterbalance the wide and rapid ...