Abstract
Enticing users into exploring Open Data remains an important challenge for the whole Open Data paradigm. Standard stock interfaces often used by Open Data portals are anything but inspiring even for tech-savvy users, let alone those without an articulated interest in data science. To address a broader range of citizens, we designed an open data search interface supporting natural language interactions via popular platforms like Facebook and Skype. Our data-aware chatbot answers search requests and suggests relevant open datasets, bringing fun factor and a potential of viral dissemination into Open Data exploration. The current system prototype is available for Facebook (https://m.me/OpenDataAssistant) and Skype (https://join.skype.com/bot/6db830ca-b365-44c4-9f4d-d423f728e741) users.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
References
Baeza-Yates, R.: Ten years of wisdom. In: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining (WSDM 2017), Cambridge, 6–10 February 2017, pp. 1–2 (2017)
McCrae, J.P., Cimiano, P.: Linghub: a linked data based portal supporting the discovery of language resources. In: Joint Proceedings of the Posters and Demos Track and 1st Workshop on Data Science: Methods, Technology and Applications (DSci15) of 11th International Conference on Semantic Systems - SEMANTiCS 2015, Vienna, 15–17 September 2015, pp. 88–91 (2015)
Moro, A., Raganato, A., Navigli, R.: Entity linking meets word sense disambiguation: a unified approach. Trans. Assoc. Comput. Linguist. (TACL) 2, 231–244 (2014)
Neumaier, S., Umbrich, J., Polleres, A.: Lifting data portals to the web of data. In: WWW 2017 Workshop on Linked Data on the Web (LDOW 2017), Perth, 3–7 April 2017
Acknowledgements
This work was supported by the Austrian Research Promotion Agency (FFG) under the projects ADEQUATe (grant no. 849982) and CommuniData (grant no. 855407).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Neumaier, S., Savenkov, V., Vakulenko, S. (2017). Talking Open Data. In: Blomqvist, E., Hose, K., Paulheim, H., Ławrynowicz, A., Ciravegna, F., Hartig, O. (eds) The Semantic Web: ESWC 2017 Satellite Events. ESWC 2017. Lecture Notes in Computer Science(), vol 10577. Springer, Cham. https://doi.org/10.1007/978-3-319-70407-4_25
Download citation
DOI: https://doi.org/10.1007/978-3-319-70407-4_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-70406-7
Online ISBN: 978-3-319-70407-4
eBook Packages: Computer ScienceComputer Science (R0)