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Interface to Query and Visualise Definitions from a Knowledge Base

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Web Engineering (ICWE 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12706))

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Abstract

Linked data is at the core of the Web due to its ability to model real world entities, connect them via relationships and provide context, which could help to transform data into information and information into knowledge. For example, ontologies, which could be stored locally or could be made available to everyone online (e.g. the DBpedia knowledge base). However, both access and usage of Linked Data require individuals to have knowledge in the field of the Semantic Web. Many of the existing solutions are developed for specific use cases such as building and exploring ontologies visually and are aimed at expert users. The solutions that are aimed at non-experts are generic and, in most cases, a data visualisation is not available. In this paper, we present a web application with a user interface (UI), which combines features from applications for both expert and non-experts. The UI allows individuals with no previous knowledge of the Semantic Web to query the DBpedia knowledge base for definitions of a specific word and to view a graphical visualisation of the query results (the search keyword itself and concepts related to it).

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Notes

  1. 1.

    https://www.google.com.

  2. 2.

    https://developers.google.com/knowledge-graph.

  3. 3.

    https://Protege.stanford.edu.

  4. 4.

    https://wiki.dbpedia.org/rest-api.

  5. 5.

    https://wiki.dbpedia.org.

  6. 6.

    https://www.w3.org/2001/sw/wiki/OWL.

  7. 7.

    https://www.w3.org/TR/2004/REC-rdf-primer-20040210/.

  8. 8.

    https://www.w3.org/2001/sw/wiki/RDFS.

  9. 9.

    https://www.w3.org/TR/rdf-sparql-query/.

  10. 10.

    https://www.lexico.com.

  11. 11.

    https://www.oxfordlearnersdictionaries.com.

  12. 12.

    https://dictionary.cambridge.org.

  13. 13.

    https://www.google.com.

  14. 14.

    https://protegewiki.stanford.edu/wiki/OntoGraf.

  15. 15.

    http://vowl.visualdataweb.org.

  16. 16.

    http://vowl.visualdataweb.org/webvowl.html.

  17. 17.

    http://vowl.visualdataweb.org/protegevowl.html.

  18. 18.

    https://d3js.org.

  19. 19.

    https://html.spec.whatwg.org.

  20. 20.

    https://developer.mozilla.org/en-US/docs/Web/CSS.

  21. 21.

    https://www.php.net.

  22. 22.

    https://www.easyrdf.org.

  23. 23.

    https://www.javascript.com.

  24. 24.

    https://github.com/kripken/speak.js/.

  25. 25.

    https://www.apachefriends.org/index.html.

  26. 26.

    https://github.com/aneliamk/research.

References

  1. Bostock, M.: Force-directed graph (2017). https://observablehq.com/@d3/force-directed-graph

  2. Bostock, M.: Hierarchical edge bundling with d3.js (2018). https://observablehq.com/@d3/hierarchical-edge-bundling

  3. Brookhaven National Laboratory: visualizing scientific big data in informative and interactive ways (2017). https://phys.org/news/2017-04-visualizing-scientific-big-interactive-ways.html

  4. Cheng, G., Qu, Y.: Searching linked objects with falcons: approach, implementation and evaluation. Int. J. Semant. Web Inf. Syst. 5, 49–70 (2009)

    Article  Google Scholar 

  5. Ding, L., Pan, R., Finin, T., Joshi, A., Peng, Y., Kolari, P.: Finding and ranking knowledge on the semantic web. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 156–170. Springer, Heidelberg (2005). https://doi.org/10.1007/11574620_14

    Chapter  Google Scholar 

  6. Google: How google’s knowledge graph works. https://support.google.com/knowledgepanel/answer/9787176?hl=en

  7. Gross., B.M.: The managing of organizations: the administrative struggle. Ann. Am. Acad. Polit. Soc. Sci. 360(1), 197–198 (1965). https://doi.org/10.1177/000271626536000140

  8. Eisenberg, H.: Humans process visual data better (2014). https://www.t-sciences.com/news/humans-process-visual-data-better

  9. Holzinger, A.: Human-computer interaction and knowledge discovery (HCI-KDD): what is the benefit of bringing those two fields to work together? In: Cuzzocrea, A., Kittl, C., Simos, D.E., Weippl, E., Xu, L. (eds.) CD-ARES 2013. LNCS, vol. 8127, pp. 319–328. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40511-2_22

    Chapter  Google Scholar 

  10. Kolari, S., Savander-Ranne, C.: Why do our students not learn as we wish them to?. In: Proceedings of 2nd Global Congress on Engineering Education, pp. 153–155 (2000)

    Google Scholar 

  11. Kolari, S., Savander-Ranne, C.: Will the application of constructivism bring a solution to today’s problems of engineering education? Glob. J. Eng. Educ. 4(3), 275–280 (2000)

    Google Scholar 

  12. Kolari, S., Savander-Ranne, C.: Visualisation promotes apprehension and comprehension. Int. J. Eng. Educ. 20(3), 484–493 (2004)

    Google Scholar 

  13. Lindstörm, N., Mainsten, M.: Building interfaces on a networked graph. In: Linked data and user interaction, pp. 85–97. De Gruyter Saur, Berlin/Munich/Boston (2015)

    Google Scholar 

  14. Lohmann, S., Negru, S., Haag, F., Ertl, T.: Visualizing ontologies with VOWL. Semant. Web 7(4), 399–419 (2016). https://doi.org/10.3233/SW-150200, http://dx.doi.org/10.3233/SW-150200

  15. Shneiderman, B., Plaisant, C., Cohen, M., Jacobs, S.: Designing the user interface: strategies for effective human-computer interaction. In: SIGB (2016)

    Google Scholar 

  16. Shneiderman, B., Plaisant, C., Cohen, M., Jacobs, S.: The eight golden rules of interface design (2016). https://www.cs.umd.edu/users/ben/goldenrules.html

  17. White, R.T.: Learning Science. Basil Blackwell, Oxford (1988)

    Google Scholar 

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Acknowledgements

We would like to thank Simon Tippner for his helpful feedback regarding the graphical visualisation and Midhat Faheem for participating in the discussions that this research inspired.

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Authors and Affiliations

  1. Semantic Technology Institute, Department of Computer Science, University of Innsbruck, Innsbruck, Austria

    Anelia Kurteva

  2. School of Computer Science and Informatics, Cardiff Univeristy, Cardiff, Wales, UK

    Hélène De Ribaupierre

Authors
  1. Anelia Kurteva
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  2. Hélène De Ribaupierre
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Corresponding author

Correspondence to Anelia Kurteva .

Editor information

Editors and Affiliations

  1. Dipartimento di Elettronica, Politecnico di Milano, Milan, Italy

    Marco Brambilla

  2. E2S UPPA, LIUPPA, Université de Pau et des Pays de l’Adour, Anglet, France

    Richard Chbeir

  3. Econometric Institute, Erasmus University Rotterdam, Rotterdam, The Netherlands

    Flavius Frasincar

  4. Inria Saclay-Île-de-France, Institut Polytechnique de Paris, Palaiseau, France

    Ioana Manolescu

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Kurteva, A., De Ribaupierre, H. (2021). Interface to Query and Visualise Definitions from a Knowledge Base. In: Brambilla, M., Chbeir, R., Frasincar, F., Manolescu, I. (eds) Web Engineering. ICWE 2021. Lecture Notes in Computer Science(), vol 12706. Springer, Cham. https://doi.org/10.1007/978-3-030-74296-6_1

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  • DOI: https://doi.org/10.1007/978-3-030-74296-6_1

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