Skip to main content

Integrated Quality Assessment of Linked Thesauri for the Environment

  • Conference paper
  • First Online:
Electronic Government and the Information Systems Perspective (EGOVIS 2016)

Abstract

Thesauri usability, within a Spatial Data Infrastructure for the Environment, is pivotal for metadata compilation and data discovery. Thesauri effectiveness is affected by their quality. Diverse quality measures are available taking into account different facets, nevertheless an overall measure is needed whenever thesauri have to be compared in order to identify those to be improved for a proper reuse. The paper proposes a methodology for the quality assessment of linked thesauri aimed at providing an overall quality ranking. It provides a proof of concept of the Analytic Hierarchy Process adoption to the set of linked data thesauri deployed in the Thesaurus Framework for the Environment (LusTRE) developed within the EU funded project eENVplus.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Notes

  1. 1.

    http://inspire.jrc.ec.europa.eu/.

  2. 2.

    http://ec.europa.eu/environment/archives/seis/.

  3. 3.

    http://www.nature-sdi.eu/.

  4. 4.

    http://www.eenvplus.eu/.

  5. 5.

    http://linkeddata.ge.imati.cnr.it/.

  6. 6.

    http://inspire.ec.europa.eu/index.cfm/pageid/2/list/7.

  7. 7.

    https://github.com/sparkica/LODRefine.

  8. 8.

    http://silkframework.org/.

  9. 9.

    http://virtuoso.openlinksw.com/.

  10. 10.

    http://www.superdecisions.com/.

References

  1. Abecker, A., Albertoni R., De Martino, M., Podestà, P., Schnitter, K., Wössner, R.: Latest developments of the linked thesaurus framework for the environment (LusTRE). In: ENVIROINFO 2015 Conference, Copenhagen, Denmark (2015)

    Google Scholar 

  2. De Martino, M., Albertoni, R.: A multilingual/multicultural semantic-based approach to improve data sharing in a SDI for nature conservation. Int. J. Spat. Data Infrastruct. Res. 6, 206–233 (2011)

    Google Scholar 

  3. Berners-Lee, T.: Linked data. http://www.w3.org/DesignIssues/LinkedData.html

  4. Bizer, C., Heath, T., Berners-Lee, T.: Linked data - the story so far. Int. J. Semant. Web Inf. Syst. 5(3), 1–22 (2009)

    Article  Google Scholar 

  5. Zaveri, A., Rula, A., Maurino, A., Pietrobon, R., Lehmann, J., Auer, S.: Quality assessment for linked open data: a survey. Semant. Web J. 7(1), 63–93 (2016)

    Article  Google Scholar 

  6. Suominen, O., Mader, C.: Assessing and improving the quality of SKOS vocabularies. J. Data Semant. 3, 47–73 (2013)

    Article  Google Scholar 

  7. Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)

    MATH  Google Scholar 

  8. Mader, C., Haslhofer, B., Isaac, A.: Finding quality issues in SKOS vocabularies. In: Zaphiris, P., Buchanan, G., Rasmussen, E., Loizides, F. (eds.) TPDL 2012. LNCS, vol. 7489, pp. 222–233. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  9. Albertoni, R., De Martino, M., Di Franco, S., De Santis, V., Plini, P.: EARTh: an environmental application reference thesaurus in the linked open data cloud. Semant. Web 5(2), 165–171 (2014)

    Article  Google Scholar 

  10. Albertoni, R., De Martino, M., Podestà, P.: Environmental thesauri under the lens of reusability. In: Kő, A., Francesconi, E. (eds.) EGOVIS 2014. LNCS, vol. 8650, pp. 222–236. Springer, Heidelberg (2014)

    Google Scholar 

  11. Batini, C., Scannapieco, M.: Data and Information Quality: Dimensions Principles and Techniques. Springer, Heidelberg (2016)

    Book  MATH  Google Scholar 

  12. Guéret, C., Groth, P., Stadler, C., Lehmann, J.: Assessing linked data mappings using network measures. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 87–102. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  13. Albertoni, R. Gòmez-Pérez, A.: Assessing linkset quality for complementing third-party datasets. In: Joint EDBT/ICDT 2013 Workshops, pp. 52–59. ACM, New York (2013)

    Google Scholar 

  14. Kontokostas, D., Zaveri, A., Auer, S., Lehmann, J.: TripleCheckMate: a tool for crowdsourcing the quality assessment of linked data. In: 4th Conference on Knowledge Engineering and Semantic Web, St. Petersburg (2013)

    Google Scholar 

  15. Demartini, G., Difallah, D.E., Cudré-Mauroux, P.: Large-scale linked data integration using probabilistic reasoning and crowdsourcing. Int. J. Very Large Data Bases 22(5), 665–687 (2013)

    Article  Google Scholar 

  16. Debattista, J., Lange, C. Sören, A.: LUZZU – A Framework for Linked Data Quality Assessment’, CoRR abs/1412.3750. http://arxiv.org/abs/1412.3750

  17. Bizer, C., Cyganiak, R.: Quality-driven information filtering using the WIQA policy framework. J. Web Semant. 7(1), 1–10 (2009)

    Article  Google Scholar 

  18. Kless, D., Milton, S.: Towards quality measures for evaluating thesauri. In: Sánchez-Alonso, S., Athanasiadis, I.N. (eds.) MTSR 2010. CCIS, vol. 108, pp. 312–319. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  19. Albertoni, R., De Martino, M., Podestà, P.: A linkset quality metric measuring multilingual gain in SKOS thesauri. In: 2nd Workshop on Linked Data Quality Co-located with 12th Extended Semantic Web Conference (ESWC 2015) (2015)

    Google Scholar 

  20. Suominen, O., Hyvönen, E.: Improving the quality of SKOS vocabularies with Skosify. In: ten Teije, A., Völker, J., Handschuh, S., Stuckenschmidt, H., d’Acquin, M., Nikolov, A., Aussenac-Gilles, N., Hernandez, N. (eds.) EKAW 2012. LNCS, vol. 7603, pp. 383–397. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  21. Zavadskasa, E.K., Turskisa, Z., Kildienė, S.: State of art surveys of overviews on MCDM-MADM methods. Technol. Econ. Dev. Econ. 20(1), 165–179 (2014)

    Article  Google Scholar 

  22. Triantaphyllou, E., Shu, B., Sanchez, S.N., Ray, T.: Multi-criteria decision making: an operations research approach. Encycl. Electr. Electron. Eng. 15, 175–186 (1998)

    Google Scholar 

  23. Hwang, C.L., Yoon, K.: Multiple Attribute Decision Making: Methods and Applications. Springer, New York (1981)

    Book  MATH  Google Scholar 

  24. Roy, B.: Classement et choix en présence de points de vue multiples (la méthode ELECTRE). La Revue d’Informatique et de Recherche Opérationelle 8, 57–75 (1968)

    Google Scholar 

  25. Roy, B.: The optimisation problem formulation: criticism and overstepping. J. Oper. Res. Soc. 32(6), 427–436 (1981)

    Article  MathSciNet  Google Scholar 

  26. Ishizaka, A., Pearman, C., Nemery, P.: AHPSort: an AHP-based method for sorting problems. Int. J. Prod. Res. 50(17), 4767–4784 (2012)

    Article  Google Scholar 

  27. Vaidyaa, O.S., Kumar, S.: Analytic hierarchy process: an overview of applications. Eur. J. Oper. Res. 169(1), 1–29 (2006)

    Article  MathSciNet  Google Scholar 

  28. Forman, E.H., Selly, M.A.: Decision by Objectives. http://professorforman.com/DecisionByObjectives/DBO.pdf

  29. Mustajoki, J., Marttunen, M.: Comparison of multi-criteria decision analytical software: searching for ideas for developing a new eia-specific multi-criteria software. IMPERIA Project Report’. http://imperia.jyu.fi/tuotokset/Annex7.5.13ComparisonofMultiCriteriaDecisionAnalyticalSoftware.pdf

  30. Mesarovic, M.D., Macko, D.: Foundations for a Scientific Theory of Hierarchical Systems, pp. 29–50. American Elsevier, New York (1969). Hierarchical Structures

    Google Scholar 

  31. Saaty, T.L.: A scaling method for priorities in hierarchical structures. J. Math. Psychol. 15, 234–281 (1977)

    Article  MathSciNet  MATH  Google Scholar 

  32. Saaty, T.L., Vargas, L.: Comparison of eigenvalue, logarithmic least squares and least squares methods in estimating ratios. Math. Model. 5, 309–324 (1984)

    Article  MathSciNet  MATH  Google Scholar 

  33. Saaty, T.L.: The Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. RWS Publications, Pittsburgh (2011)

    Google Scholar 

  34. Saaty, T.L., Vargas, G.: The seven pillars of the analytic hierarchy process. In: Saaty, T.L., Vargas, G. (eds.) Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. International Series in Operations Research & Management Science, vol. 175, pp. 23–40. Springer, New York (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Riccardo Albertoni .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Albertoni, R., De Martino, M., Quarati, A. (2016). Integrated Quality Assessment of Linked Thesauri for the Environment. In: KÅ‘, A., Francesconi, E. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2016. Lecture Notes in Computer Science(), vol 9831. Springer, Cham. https://doi.org/10.1007/978-3-319-44159-7_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-44159-7_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44158-0

  • Online ISBN: 978-3-319-44159-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics