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Semantic Relatedness as an Inter-facet Metric for Facet Selection over Knowledge Graphs

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The Semantic Web: ESWC 2019 Satellite Events (ESWC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11762))

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Abstract

Faceted Browsing is a wide-spread approach for exploratory search. Without requiring an in-depth knowledge of the domain, users can narrow down a resource set until it fits their need. An increasing amount of data is published either directly as Linked Data or is at least annotated using concepts from the Linked Data Cloud. This allows identifying commonalities and differences among resources beyond the comparison of mere string representations of metadata.

As the size of data repositories increases, so does the range of covered domains and the number of properties that can provide the basis for a new facet. Manually predefining suitable facet collections becomes impractical. We present our initial work on automatically creating suitable facets for a semantically annotated set of resources. In particular, we address two problems arising with automatic facet generation: (1) Which facets are applicable to the current set of resources and (2) which reasonably sized subset provides the best support to users?

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Notes

  1. 1.

    https://www.wikipedia.org/.

References

  1. Vrandečić, D., Krötzsch, M.: Wikidata: a free collaborative knowledgebase. Commun. ACM 57(10), 78–85 (2014). https://doi.org/10.1145/2629489

    Article  Google Scholar 

  2. Wei, B., Liu, J., Zheng, Q., Zhang, W., Fu, X., Feng, B.: A survey of faceted search. J. Web Eng. 12(1–2), 41–64 (2013)

    Google Scholar 

  3. Tzitzikas, Y., Manolis, N., Papadakos, P.: Faceted exploration of RDF/S datasets: a survey. J. Intell. Inf. Syst. 48(2), 329–364 (2016). https://doi.org/10.1007/s10844-016-0413-8

    Article  Google Scholar 

  4. Oren, E., Delbru, R., Decker, S.: Extending faceted navigation for RDF data. In: Cruz, I., et al. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 559–572. Springer, Heidelberg (2006). https://doi.org/10.1007/11926078_40

    Chapter  Google Scholar 

  5. Schraefel, M.C., Smith, D.A., Owens, A., Russell, A., Harris, C., Wilson, M.: The evolving mSpace platform: leveraging the semantic web on the trail of the Memex. In: Proceedings of the Sixteenth ACM Conference on Hypertext and Hypermedia, HYPERTEXT 2005, pp. 174–183. ACM, New York (2005). https://doi.org/10.1145/1083356.1083391

  6. Huynh, D., Karger, D.: Parallax and companion: set-based browsing for the data web. Technical report, Metaweb Technologies Inc. (2009)

    Google Scholar 

  7. Heim, P., Ziegler, J., Lohmann, S.: gFacet: a browser for the web of data. In: Proceedings of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW 2008), Aachen (2008)

    Google Scholar 

  8. Stadler, C., Martin, M., Auer, S.: Exploring the web of spatial data with Facete. In: Proceedings of the 23rd International Conference on World Wide Web, WWW 2014 Companion, pp. 175–178. ACM, New York (2014). https://doi.org/10.1145/2567948.2577022

  9. Arenas, M., Grau, B.C., Kharlamov, E., Marciuska, S., Zheleznyakov, D.: Faceted search over RDF-based knowledge graphs. Web Semant. Sci. Serv. Agents World Wide Web 37, (2016). https://doi.org/10.2139/ssrn.3199228

  10. Moreno-Vega, J., Hogan, A.: GraFa: scalable faceted browsing for RDf graphs. In: Vrandečić, D., et al. (eds.) ISWC 2018. LNCS, vol. 11136, pp. 301–317. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00671-6_18

    Chapter  Google Scholar 

  11. Li, C., Yan, N., Roy, S.B., Lisham, L., Das, G.: Facetedpedia: dynamic generation of query-dependent faceted interfaces for wikipedia. In: Proceedings of the 19th International Conference on World Wide Web, WWW 2010, pp. 651–660. ACM, New York (2010). https://doi.org/10.1145/1772690.1772757

  12. Li, Y., Bandar, Z.A., Mclean, D.: An approach for measuring semantic similarity between words using multiple information sources. IEEE Trans. Knowl. Data Eng. 15(4), 871–882 (2003). https://doi.org/10.1109/TKDE.2003.1209005

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Heinz Nixdorf Chair for Distributed Information Systems, Friedrich Schiller University Jena, Jena, Germany

    Leila Feddoul & Frank Löffler

  2. Institute of Data Science, German Aerospace Center DLR, Jena, Germany

    Leila Feddoul & Sirko Schindler

Authors
  1. Leila Feddoul
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  2. Sirko Schindler
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  3. Frank Löffler
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Corresponding author

Correspondence to Leila Feddoul .

Editor information

Editors and Affiliations

  1. Kansas State University, Manhattan, KS, USA

    Pascal Hitzler

  2. Vienna University of Economics and Business, Vienna, Austria

    Sabrina Kirrane

  3. Linköping University, Linköping, Sweden

    Olaf Hartig

  4. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Victor de Boer

  5. Leibniz Information Centre for Science and Technology University Library (TIB), Hannover, Germany

    Maria-Esther Vidal

  6. University of Bonn, Bonn, Germany

    Maria Maleshkova

  7. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Stefan Schlobach

  8. Jönköping University, Jönköping, Sweden

    Karl Hammar

  9. F. Hoffmann-La Roche AG, Basel, Switzerland

    Nelia Lasierra

  10. Robert Bosch GmbH, Stuttgart, Germany

    Steffen StadtmĂĽller

  11. Aalborg University, Aalborg, Denmark

    Katja Hose

  12. IMEC, Ghent University, Ghent, Belgium

    Ruben Verborgh

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Feddoul, L., Schindler, S., Löffler, F. (2019). Semantic Relatedness as an Inter-facet Metric for Facet Selection over Knowledge Graphs. In: Hitzler, P., et al. The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019. Lecture Notes in Computer Science(), vol 11762. Springer, Cham. https://doi.org/10.1007/978-3-030-32327-1_10

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  • DOI: https://doi.org/10.1007/978-3-030-32327-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32326-4

  • Online ISBN: 978-3-030-32327-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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