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An End-User Semantic Web Augmentation Tool

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End-User Development (IS-EUD 2019)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11553))

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Abstract

Web Augmentation is usually applied to add, remove and change Web sites’ functionalities, content, and presentation. Content-based Web Augmentation is commonly performed by integrating content from an external Web site into the current one. In this article, we explore the use of the Semantic Web as a source of information to be incorporated to any Web site, aiming to simplify the development of Web Augmentation based on Semantic Web data. Our approach allows end-users without any programming skills to build Web Augmentation scripts that takes some information from the current Web page, and produce new related information gathered from the Semantic Web. This article introduces a pipeline process for building Semantic Web Augmentations and an end-user development tool called SWAX to create augmentation layers without the need for any programming or Semantic Web skills.

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Notes

  1. 1.

    Source code and video-tutorials at https://github.com/cfsottile/swa-extension.

  2. 2.

    IMDb stands for Internet Movie Database. http://imdb.com.

  3. 3.

    https://www.imdb.com/title/tt0071562/.

References

  1. Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Sci. Am. 284(5), 28–37 (2001)

    Article  Google Scholar 

  2. Bouvin, N.O.: Unifying strategies for Web augmentation. In: Proceedings of the Tenth ACM Conference on Hypertext and Hypermedia: Returning to Our Diverse Roots, pp. 91–100. ACM (1999)

    Google Scholar 

  3. Eipert, L.: Metadatenextraktion und vorschlagssysteme im visual sparql builder. In: Cunningham, D.W., Hofstedt, P., Meer, K., Schmitt, I. (eds.) INFORMATIK 2015, pp. 1925–1936. Gesellschaft für Informatik e.V., Bonn (2015)

    Google Scholar 

  4. Firmenich, S., Bosetti, G.A., Rossi, G., Winckler, M., Barbieri, T.: Abstracting and structuring web contents for supporting personal web experiences. In: Bozzon, A., Cudre-Maroux, P., Pautasso, C. (eds.) ICWE 2016. LNCS, vol. 9671, pp. 77–95. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-38791-8_5

    Google Scholar 

  5. Kahan, J., Koivunen, M.R.: Annotea: an open RDF infrastructure for shared Web annotations. In: Proceedings of the 10th International Conference on World Wide Web, WWW 2001, pp. 623–632. ACM, New York (2001)

    Google Scholar 

  6. Rico, M., Corcho, O., Macías, J.A., Camacho, D.: A tool suite to enable Web designers, Web application developers and end-users to handle semantic data. In: Semantic-Enabled Advancements on the Web: Applications Across Industries, p. 123 (2012)

    Google Scholar 

  7. Shadbolt, N., Berners-Lee, T., Hall, W.: The semantic web revisited. IEEE Intell. Syst. 21(3), 96–101 (2006)

    Article  Google Scholar 

  8. Torres, D., Diaz, A., Skaf-Molli, H., Molli, P.: Semdrops: a social semantic tagging approach for emerging semantic data. In: 2011 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), vol. 1, pp. 340–347. IEEE (2011)

    Google Scholar 

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Author information

Authors and Affiliations

  1. LIFIA, Facultad de Informática, UNLP, La Plata, Argentina

    Cristian Sottile, Sergio Firmenich & Diego Torres

  2. CICPBA - Comisión de Investigaciones Cientí­ficas de la Provincia de Buenos Aires, Tolosa, Argentina

    Cristian Sottile & Diego Torres

  3. CONICET - Consejo Nacional de Investigaciones Cientí­ficas y Técnicas, Buenos Aires, Argentina

    Sergio Firmenich

  4. Departamento de Ciencia y Tecnologí­a, UNQ, Bernal, Argentina

    Diego Torres

Authors
  1. Cristian Sottile
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  2. Sergio Firmenich
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  3. Diego Torres
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Corresponding author

Correspondence to Cristian Sottile .

Editor information

Editors and Affiliations

  1. University of Hertfordshire, Hatfield, UK

    Alessio Malizia

  2. University of Milan, Milan, Italy

    Stefano Valtolina

  3. University of Oslo, Oslo, Norway

    Anders Morch

  4. Brunel University London, Uxbridge, UK

    Alan Serrano

  5. University of Sheffield, Sheffield, UK

    Andrew Stratton

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Sottile, C., Firmenich, S., Torres, D. (2019). An End-User Semantic Web Augmentation Tool. In: Malizia, A., Valtolina, S., Morch, A., Serrano, A., Stratton, A. (eds) End-User Development. IS-EUD 2019. Lecture Notes in Computer Science(), vol 11553. Springer, Cham. https://doi.org/10.1007/978-3-030-24781-2_23

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  • DOI: https://doi.org/10.1007/978-3-030-24781-2_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24780-5

  • Online ISBN: 978-3-030-24781-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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