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PFSgeo: Preference-Enriched Faceted Search for Geographical Data

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On the Move to Meaningful Internet Systems. OTM 2017 Conferences (OTM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10574))

Abstract

In this paper we show how an exploratory search process, specifically the Preference-enriched Faceted Search (PFS) process, can be enriched for exploring datasets that also contain geographic information. In the introduced extension, that we call PFSgeo, the objects can have geographical coordinates, the interaction model is extended, and the web-interface is enriched with a map which the user can use for inspecting and restricting his focus, as well as for expressing preferences. Preference inheritance is supported as well as an automatic scope-based resolution of conflicts. We detail the implementation of the interaction model, elaborate on performance and report the positive results of a task-based evaluation with users. The value of PFSgeo is that it provides a generic and interactive method for aiding users to select the desired option(s) among a set of options that are described by several attributes including geographical ones, and it is the first model that supports map-based preferences.

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Notes

  1. 1.

    http://lod-cloud.net/.

  2. 2.

    http://linkedgeodata.org/.

  3. 3.

    http://www.openstreetmap.org/.

  4. 4.

    http://data.ordnancesurvey.co.uk/.

  5. 5.

    http://data.geohive.ie/.

  6. 6.

    https://en.wikipedia.org/wiki/World_Geodetic_System.

  7. 7.

    http://www.ics.forth.gr/isl/Hippalus/.

  8. 8.

    http://www.w3.org/TR/rdf-schema/.

  9. 9.

    http://jena.apache.org/.

  10. 10.

    Available only to firefox 8 and up.

  11. 11.

    https://developers.google.com/maps/documentation/javascript/reference.

  12. 12.

    https://developers.google.com/maps/articles/toomanymarkers.

References

  1. de Almeida, J.P.D., Rocha-Junior, J.B.: Top-k spatial keyword preference query. J. Inf. Data Manage. 6(3), 162 (2016)

    Google Scholar 

  2. Bangor, A., Kortum, P., Miller, J.: Determining what individual sus scores mean: adding an adjective rating scale. J. Usability Stud. 4(3), 114–123 (2009)

    Google Scholar 

  3. Bao, J., Mokbel, M.F.: Georank: an efficient location-aware news feed ranking system. In: Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 184–193. ACM (2013)

    Google Scholar 

  4. Bereta, K., Koubarakis, M.: Ontop of geospatial databases. In: Groth, P., Simperl, E., Gray, A., Sabou, M., Krötzsch, M., Lecue, F., Flöck, F., Gil, Y. (eds.) ISWC 2016. LNCS, vol. 9981, pp. 37–52. Springer, Cham (2016). doi:10.1007/978-3-319-46523-4_3

    Chapter  Google Scholar 

  5. Debruyne, C., Clinton, É., O’Sullivan, D.: Client-side processing of GeoSPARQL functions with triple pattern fragments. In: Proceedings of the Workshop on Linked Data on the Web, LDOW (2017)

    Google Scholar 

  6. Faulkner, L.: Beyond the five-user assumption: benefits of increased sample sizes in usability testing. Behav. Res. Meth. 35(3), 379–383 (2003)

    Article  Google Scholar 

  7. Galletta, D.F., Henry, R., McCoy, S., Polak, P.: Web site delays: how tolerant are users? J. Assoc. Inf. Syst. 5(1), 1–28 (2004)

    Google Scholar 

  8. Lehmann, J., Athanasiou, S., Both, A., Garcia Rojas, A., Giannopoulos, G., Hladky, D., Le Grange, J.J., Ngonga Ngomo, A.C., Sherif, M., Stadler, C., Wauer, M., Westphal, P., Zaslawski, V.: Managing geospatial linked data in the GeoKnow project, January 2015

    Google Scholar 

  9. Lopez-Pellicer, F.J., Silva, M.J., Chaves, M., Javier Zarazaga-Soria, F., Muro-Medrano, P.R.: Geo linked data. In: Bringas, P.G., Hameurlain, A., Quirchmayr, G. (eds.) DEXA 2010. LNCS, vol. 6261, pp. 495–502. Springer, Heidelberg (2010). doi:10.1007/978-3-642-15364-8_42

    Chapter  Google Scholar 

  10. Nielsen, J., Molich, R.: Heuristic evaluation of user interfaces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 249–256. ACM (1990)

    Google Scholar 

  11. Rocha-Junior, J.B., Vlachou, A., Doulkeridis, C., Nørvåg, K.: Efficient processing of top-k spatial preference queries. Proc. VLDB Endow. 4(2), 93–104 (2010)

    Article  Google Scholar 

  12. Sacco, G.M., Tzitzikas, Y.: Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience, 1st edn. Springer, Heidelberg (2009)

    Book  Google Scholar 

  13. Stadler, C., Martin, M., Auer, S.: Exploring the web of spatial data with facete. In: Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion, pp. 175–178. International World Wide Web Conferences Steering Committee (2014)

    Google Scholar 

  14. Troncy, R., Rizzo, G., Jameson, A., Corcho, O., Plu, J., Palumbo, E., Hermida, J.C.B., Spirescu, A., Kuhn, K.D., Barbu, C., Rossi, M., Celino, I., Agarwal, R., Scanu, C., Valla, M., Haaker, T.: 3cixty: Building comprehensive knowledge bases for city exploration. Web Semantics: Science, Services and Agents on the World Wide Web (2017). http://www.sciencedirect.com/science/article/pii/S1570826817300318

  15. Tzitzikas, Y., Dimitrakis, E.: Preference-enriched faceted search for voting aid applications. IEEE Trans. Emerg. Topics Comput. PP(99), 1 (2016)

    Article  Google Scholar 

  16. Tzitzikas, Y., Bailly, N., Papadakos, P., Minadakis, N., Nikitakis, G.: Using preference-enriched faceted search for species identification. Int. J. Metadata Semant. Ontol. 11(3), 165–179 (2016)

    Article  Google Scholar 

  17. Tzitzikas, Y., Manolis, N., Papadakos, P.: Faceted exploration of RDF/S datasets: a survey. J. Intell. Inf. Syst. 48(2), 329–364 (2016)

    Article  Google Scholar 

  18. Tzitzikas, Y., Papadakos, P.: Interactive exploration of multidimensional and hierarchical information spaces with real-time preference elicitation. Fundamenta Informaticae 20, 1–42 (2012)

    MATH  Google Scholar 

  19. Vatant, B., Wick, M.: Geonames ontology (2006). http://www.geonames.org/ontology

  20. Virzi, R.A.: Refining the test phase of usability evaluation: how many subjects is enough? Hum. Factors J. Hum. Factors Ergon. Soc. 34(4), 457–468 (1992)

    Article  Google Scholar 

  21. Vockner, B., Mittlböck, M.: Geo-enrichment and semantic enhancement of metadata sets to augment discovery in geoportals. ISPRS Int. J. Geo-inf. 3(1), 345–367 (2014)

    Article  Google Scholar 

  22. Yiu, M.L., Lu, H., Mamoulis, N., Vaitis, M.: Ranking spatial data by quality preferences. IEEE Trans. Knowl. Data Eng. 23(3), 433–446 (2011)

    Article  Google Scholar 

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Authors and Affiliations

  1. Institute of Computer Science, FORTH-ICS, Heraklion, Greece

    Panagiotis Lionakis & Yannis Tzitzikas

  2. Computer Science Department, University of Crete, Heraklion, Greece

    Panagiotis Lionakis & Yannis Tzitzikas

Authors
  1. Panagiotis Lionakis
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  2. Yannis Tzitzikas
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Corresponding author

Correspondence to Panagiotis Lionakis .

Editor information

Editors and Affiliations

  1. University of Lorraine, Nancy, France

    Hervé Panetto

  2. Odisee University College, Brussels, Belgium

    Christophe Debruyne

  3. Télécom SudParis, Évry, France

    Walid Gaaloul

  4. Tilburg University, Tilburg, The Netherlands

    Mike Papazoglou

  5. Freie Universität Berlin and Fraunhofer FOKUS, Berlin, Germany

    Adrian Paschke

  6. Università degli Studi di Milano, Crema, Italy

    Claudio Agostino Ardagna

  7. TU Graz, Graz, Austria

    Robert Meersman

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Lionakis, P., Tzitzikas, Y. (2017). PFSgeo: Preference-Enriched Faceted Search for Geographical Data. In: Panetto, H., et al. On the Move to Meaningful Internet Systems. OTM 2017 Conferences. OTM 2017. Lecture Notes in Computer Science(), vol 10574. Springer, Cham. https://doi.org/10.1007/978-3-319-69459-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-69459-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69458-0

  • Online ISBN: 978-3-319-69459-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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