Skip to main content
SpringerLink
Log in

Towards Ontological Support for Journalistic Angles

  • Conference paper
  • First Online:
Enterprise, Business-Process and Information Systems Modeling (BPMDS 2019, EMMSAD 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 352))

Abstract

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 journalists. Because the information sources and formats vary widely, knowledge graphs are emerging as a preferred technology for integrating, enriching, and preparing journalistic information. The paper explores how journalistic knowledge graphs can be augmented with support for news angles, in order to help journalists detect newsworthy events and present them in ways that will interest the intended audience. We argue that finding newsworthy angles on news-related information is important as an example of a more general problem in information science: that of finding the most interesting events and situations in big data sets and presenting those events and situations in the most interesting ways.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    This and later OWL ontologies have been created using Protege-OWL and rendered using WebVOWL [16].

  2. 2.

    For the purpose of the example, we have used Google Translate and adapted the outputs of IBM Watson’s Natural Language Understanding service. We have enriched the resulting item graph with additional triples from DBpedia and Wikidata.

  3. 3.

    http://motools.sourceforge.net/event/event.html.

  4. 4.

    https://www.ldc.upenn.edu/collaborations/past-projects/ace.

  5. 5.

    Brad Phillips, December 10th 2014: https://www.prdaily.com/Main/Articles/16_story_angles_that_reporters_relish_17748.aspx; Wesley Upchurch, September 1st 2018: http://www.streetdirectory.com/etoday/ten-common-news-angles-for-media-releases-uuofou.html.

References

  1. Allemang, D., Hendler, J.: Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL. Elsevier, Waltham (2011)

    Google Scholar 

  2. Berven, A., Christensen, O.A., Moldeklev, S., Opdahl, A.L., Villanger, K.J.: News Hunter: building and mining knowledge graphs for newsroom systems. In: NOKOBIT, vol. 26 (2018)

    Google Scholar 

  3. Diakopoulos, N.: Computational journalism and the emergence of news platforms. In: The Routledge Companion to Digital Journalism Studies. Routledge, Taylor and Francis Group, London (2016)

    Chapter  Google Scholar 

  4. Fernández, N., Fuentes, D., Sánchez, L., Fisteus, J.A.: The NEWS ontology: design and applications. Expert. Syst. Appl. 37(12), 8694–8704 (2010)

    Article  Google Scholar 

  5. Gallofré, M., Nyre, L., Opdahl, A.L., Tessem, B., Trattner, C., Veres, C.: Towards a big data platform for news angles. In: 4th Norwegian Big Data Symposium – NOBIDS 2018, November 2018

    Google Scholar 

  6. Gangemi, A., Presutti, V., Recupero, D.R., Nuzzolese, A.G., Draicchio, F., Mongiovì, M.: Semantic web machine reading with FRED. Semant. Web 8(6), 873–893 (2017)

    Article  Google Scholar 

  7. García, R., Perdrix, F., Gil, R., Oliva, M.: The semantic web as a newspaper media convergence facilitator. Web Semant. Sci. Serv. Agents World Wide Web 6(2), 151–161 (2008)

    Article  Google Scholar 

  8. Gervas, P.: Computational approaches to storytelling and creativity. AI Mag. 30(3), 49–62 (2009)

    Article  Google Scholar 

  9. Heravi, B.R., McGinnis, J.: Introducing social semantic journalism. J. Media Innov. 2(1), 131–140 (2015)

    Article  Google Scholar 

  10. Hogenboom, F., Frasincar, F., Kaymak, U., De Jong, F.: An overview of event extraction from text. In: Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2011) at 10th ISWC 2011, vol. 779, pp. 48–57. Citeseer (2011)

    Google Scholar 

  11. International Press Telecommunications Council. Media Topics: Subject taxonomy for the media – the successor of the Subject Codes

    Google Scholar 

  12. Jackoway, A., Samet, H., Sankaranarayanan, J.: Identification of live news events using Twitter. In: Proceedings of 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks, pp. 25–32. ACM (2011)

    Google Scholar 

  13. Latar, N.L.: The robot journalist in the age of social physics: the end of human journalism? In: Einav, G. (ed.) The New World of Transitioned Media. TEICE, pp. 65–80. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-09009-2_6

    Chapter  Google Scholar 

  14. Leban, G., Fortuna, B., Brank, J., Grobelnik, M.: Event Registry: learning about world events from news. In: Proceedings of the 23rd International Conference on World Wide Web, pp. 107–110. ACM (2014)

    Google Scholar 

  15. Liu, X., et al.: Reuters Tracer: a large scale system of detecting & verifying real-time news events from Twitter. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp. 207–216. ACM (2016)

    Google Scholar 

  16. Lohmann, S., Link, V., Marbach, E., Negru, S.: WebVOWL: web-based visualization of ontologies. In: Lambrix, P., et al. (eds.) EKAW 2014. LNCS (LNAI), vol. 8982, pp. 154–158. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-17966-7_21

    Chapter  Google Scholar 

  17. Machill, M., Beiler, M.: The importance of the internet for journalistic research: a multi-method study\(\ldots \). J. Stud. 10(2), 178–203 (2009)

    Google Scholar 

  18. Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111–3119 (2013)

    Google Scholar 

  19. Miroshnichenko, A.: AI to bypass creativity. Will robots replace journalists? (The answer is “yes”). Information 9(7), 183 (2018)

    Article  Google Scholar 

  20. Opdahl, A.L., Berven, A., Alipour, K., Christensen, O.A., Villanger, K.J.: Knowledge graphs for newsroom systems. In: NOKOBIT, vol. 24 (2016)

    Google Scholar 

  21. Passant, A., Laublet, P.: Meaning of a Tag: a collaborative approach to bridge the gap between tagging and linked data. In: LDOW, vol. 369 (2008)

    Google Scholar 

  22. Rospocher, M., et al.: Building event-centric knowledge graphs from news. J. Web Semant. 37, 132–151 (2016)

    Article  Google Scholar 

  23. Segers, R., Vossen, P., Rospocher, M., Serafini, L., Laparra, E., Rigau, G.: ESO: a frame based ontology for events and implied situations. In: Proceedings of MAPLEX 2015 (2015)

    Google Scholar 

  24. Shoemaker, P.J., Reese, S.D.: Mediating the Message: Theories of Influences on Mass Media Content. Longman, White Plains (1995)

    Google Scholar 

  25. Stavelin, E.: Computational Journalism. When journalism meets programming. Ph.D. thesis, University of Bergen (2013)

    Google Scholar 

  26. Tessem, B., Opdahl, A.L.: Supporting journalistic news angles with models and analogies. In: Proceedings IEEE RCIS 2019, Brussels (2019)

    Google Scholar 

  27. Troncy, R.: Bringing the IPTC news architecture into the semantic web. In: Sheth, A., et al. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 483–498. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-88564-1_31

    Chapter  Google Scholar 

  28. Van Hage, W.R., Malaisé, V., Segers, R., Hollink, L., Schreiber, G.: Design and use of the simple event model (SEM). Web Semant. Sci. Serv. Agents World Wide Web 9(2), 128–136 (2011)

    Article  Google Scholar 

  29. Voskarides, N., et al.: Weakly-supervised contextualization of knowledge graph facts. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp. 765–774. ACM (2018)

    Google Scholar 

Download references

Acknowledgement

The News Angler project is funded by the Norwegian Research Council’s IKTPLUSS programme as project 275872.

Author information

Authors and Affiliations

  1. Department of Information Science and Media Studies, University of Bergen, 5020, Bergen, Norway

    Andreas L. Opdahl & Bjørnar Tessem

Authors
  1. Andreas L. Opdahl
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bjørnar Tessem
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Andreas L. Opdahl .

Editor information

Editors and Affiliations

  1. University of Haifa, Haifa, Israel

    Iris Reinhartz-Berger

  2. Stockholm University, Kista, Sweden

    Jelena Zdravkovic

  3. University of Duisburg-Essen, Essen, Germany

    Jens Gulden

  4. Munich University of Applied Sciences, Munich, Germany

    Rainer Schmidt

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Opdahl, A.L., Tessem, B. (2019). Towards Ontological Support for Journalistic Angles. In: Reinhartz-Berger, I., Zdravkovic, J., Gulden, J., Schmidt, R. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2019 2019. Lecture Notes in Business Information Processing, vol 352. Springer, Cham. https://doi.org/10.1007/978-3-030-20618-5_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-20618-5_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20617-8

  • Online ISBN: 978-3-030-20618-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation