Abstract
The research presented in this paper basis on the premise that segmenting textual content into successive situations according to four components - space, time, actors and motion – can help depicting a storyline in a way that facilitates comparative analyses across texts, and ultimately fostering knowledge discovery. The paper presents the original aim of the project and sums up the knowledge modelling choices made in order to formalise the segmentation procedure through which sequences of situations are extracted. We then present several proof of concept visualisations that facilitate visual reasoning on the structure, rhythm, patterns and variations of heterogeneous texts, and summarise how the space, time, actors and motion components are organised inside a given narrative. The approach was tested across various types of text, in three languages, and the paper details some of the potential benefits of the resulting visualisations on the specific case of R. Queneau’s Exercises in style. The paper is concluded with a straight to the point analysis of the approach’s actual weaknesses and limitations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
ReNom: Navigating the works of Rabelais and Ronsard in search of people and places. http://renom.univ-tours.fr/en/project. Accessed 01 Mar 2017
Dudek, I., Blaise, J.Y.: StorylineViz: a [Space, Time, Actors, Motion]—segmentation method for visual text exploration. In: Fred, A., Aveiro, D., Dietz, J., Filipe, J., Bernardino, J., Liu, K. (eds.) Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, KDIR, vol. 1, pp. 21–32. SciTePress (2016). https://doi.org/10.5220/0006034600210032
Marshman, E., Van Bolderen, P.M.: Interlinguistic variation and lexical knowledge patterns. In: Madsen, B.N., Thomsen, H.E. (eds.) Managing Ontologies and Lexical Resources: Internationale Sprogstudier og Vidensteknologi, pp. 263–278. Litera, Copenhagen (2012)
Sabol, V.: Visual analysis of relatedness in dynamically changing repositories. In: MOVE-REALthematic School, Fréjus (2016)
Blaise, J.Y., Dudek, I.: Analyzing alternative scenarios of evolution in heritage architecture: modelling and visualization challenges. J. Multimed. Process. Technol. 3(1), 29–48 (2012)
Blaise, J.Y., Dudek, I.: Spotting temporal co-occurrence patterns: the historySkyline visual metaphor. In: Proceedings of the 1st International Conference on Metrology for Archaeology, Benevento, pp. 378–383 (2015). ISBN: 978-88-940453-3-8
Matthew Paris Itinerary to the Holy Land (ca. 1250 A.D.). http://cartographic-images.net/Cartographic_Images/225.1_Palestine.html. Accessed 01 Mar 2017
Rosenberg, D., Grafton, A.: Cartographies of Time: A History of the Timeline. Architectural Press, Princeton (2012)
Yabuuchi, A.: Home to school diagram. In: Informational Diagram Collection, p. 215. Pie Books, Tokyo (2009)
Oelke, D.: Visual document analysis: towards a semantic analysis of large document collections. Ph.D. dissertation, University of Konstanz (2010)
Marazzato, R., Sparavigna, A.C.: Extracting Networks of Characters and Places from Written Works with CHAPLIN. CoRR - Computing Research Repository (2014). https://arxiv.org/abs/1402.4259
Bilenko, N.Y., Miyakawa, A.: Visualization of narrative structure analysis of sentiments and character interaction in fiction (2013). http://vis.berkeley.edu/courses/cs294-10-fa13/wiki/images/7/7b/AMNBpaper.pdf
Marshman, E., L’Homme, M.C., Surtees, V.: Verbal markers of cause-effect relations across corpora. In: Madsen, B.N., Thomsen, H.E. (eds.) Managing Ontologies and Lexical Resources: Internationale Sprogstudier og Vidensteknologi, pp. 159–174. Litera, Copenhagen (2008)
Spence, R.: Information Visualization. Pearson Addison-Wesley ACM Press, Harlow (2001)
Thomas, J.J., Cook, K.A.: Illuminating the path: the research and development agenda for visual analytics. IEEE Comput. Graph. Appl. 26(1), 10–13 (2006)
Oelke, D., Spretke, D., Stoffel, A., Keim, D.: Visual readability analysis: how to make your writings easier to read. In: IEEE Symposium on Visual Analytics Science and Technology, pp. 123–130, VAST (2010)
Koch, S., John, M., Wörner, M., Müller, A., Ertl, T.: VarifocalReader—in-depth visual analysis of large text documents. IEEE Trans. Vis. Comput. Graph. 2(12), 1723–1732 (2014)
Vuillemot, R., Clement, T., Plaisant, C., Kumar, A.: What’s being said near ‘Martha’? Exploring name entities in literary text collections. In: IEEE Symposium on Visual Analytics Science and Technology, pp. 107–114. VAST (2009)
Wanner, F., Fuchs, J., Oelke, D., Keim, D.A.: Are my children old enough to read these books? Age suitability analysis. Polibits: Res. J. Comput. Sci. Comput. Eng. Appl. 43, 93–100 (2011)
Kergosien, E., Laval, B., Roche, M., Teisseire, M.: Are opinions expressed in land-use planning documents? Int. J. Geogr. Inf. Sci. 28(4), 739–762 (2014)
Blaise, J.Y., Dudek, I.: Using abstraction levels in the visual exploitation of a knowledge acquisition process. In: Proceedings of I-Know 2005, Graz, pp. 543–552 (2005)
Blaise, J.Y., Dudek, I.: Profiling artefact changes: a methodological proposal for the classification and visualisation of architectural transformations. In: Digital Heritage, Proceedings of VSMM 2008—Virtual Systems and Multimedia, pp. 349–356. Archeolingua, Budapest (2008)
Aigner, W., Miksch, S., Schumann, H., Tominski, C.: Visualization of Time-Oriented Data. Human-Computer Interaction Series. Springer, London (2011). https://doi.org/10.1007/978-0-85729-079-3
Sabol, V.: Visualisation in the Web. http://kti.tugraz.at/sta-ff/vsabol/courses/mmis1/slides_vis.pdf
Korzybski, A.: The role of language in the perceptual processes. In: Blake, R., Ramsey, G. (eds.) Perception: An Approach To Personality, pp. 170–205. The Ronald Press Company, New York (1951)
Tufte, E.R.: Envisioning Information. Graphics Press, Cheshire (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Blaise, JY., Dudek, I. (2019). Exercises in Unstyling Texts: Formalisation and Visualisation of a Narrative’s [Space, Time, Actors, Motion] Components. In: Fred, A., Dietz, J., Aveiro, D., Liu, K., Bernardino, J., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2016. Communications in Computer and Information Science, vol 914. Springer, Cham. https://doi.org/10.1007/978-3-319-99701-8_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-99701-8_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99700-1
Online ISBN: 978-3-319-99701-8
eBook Packages: Computer ScienceComputer Science (R0)