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Enhancing Public Procurement in the European Union Through Constructing and Exploiting an Integrated Knowledge Graph

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The Semantic Web – ISWC 2020 (ISWC 2020)

Abstract

Public procurement is a large market affecting almost every organisation and individual. Governments need to ensure efficiency, transparency, and accountability, while creating healthy, competitive, and vibrant economies. In this context, we built a platform, consisting of a set of modular APIs and ontologies to publish, curate, integrate, analyse, and visualise an EU-wide, cross-border, and cross-lingual procurement knowledge graph. We developed end-user tools on top of the knowledge graph for anomaly detection and cross-lingual document search. This paper describes our experiences and challenges faced in creating such a platform and knowledge graph and demonstrates the usefulness of Semantic Web technologies for enhancing public procurement.

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Notes

  1. 1.

    https://ec.europa.eu/growth/single-market/public-procurement_en.

  2. 2.

    https://www.digitalmarketplace.service.gov.uk.

  3. 3.

    https://peppol.eu.

  4. 4.

    http://cenbii.eu.

  5. 5.

    https://simap.ted.europa.eu/web/simap/sending-electronic-notices.

  6. 6.

    https://contrataciondelestado.es/wps/portal/codice.

  7. 7.

    http://standard.open-contracting.org.

  8. 8.

    https://joinup.ec.europa.eu/solution/eprocurement-ontology.

  9. 9.

    https://www.gleif.org.

  10. 10.

    https://www.omg.org/figi.

  11. 11.

    http://www.dnb.com/duns-number.html.

  12. 12.

    http://www.ebr.org.

  13. 13.

    https://brex.io.

  14. 14.

    https://www.xbrl.org.

  15. 15.

    https://www.w3.org/TR/vocab-org.

  16. 16.

    https://joinup.ec.europa.eu/solution/e-government-core-vocabularies.

  17. 17.

    https://openopps.com.

  18. 18.

    https://ted.europa.eu.

  19. 19.

    https://opencorporates.com.

  20. 20.

    https://opencorporates.com/registers.

  21. 21.

    https://opendatacommons.org/licenses/odbl.

  22. 22.

    https://github.com/TBFY/data-sources.

  23. 23.

    https://zenodo.org.

  24. 24.

    http://dublincore.org.

  25. 25.

    http://xmlns.com/foaf/spec.

  26. 26.

    https://schema.org.

  27. 27.

    https://www.w3.org/2004/02/skos.

  28. 28.

    https://www.w3.org/TR/vocab-org.

  29. 29.

    https://github.com/TBFY/ocds-ontology/tree/master/model.

  30. 30.

    http://spaziodati.eu.

  31. 31.

    http://www.brreg.no.

  32. 32.

    https://www.ontotext.com.

  33. 33.

    https://www.w3.org/TR/vocab-regorg.

  34. 34.

    https://www.w3.org/TR/vocab-adms.

  35. 35.

    https://github.com/euBusinessGraph/eubg-data.

  36. 36.

    https://rml.io.

  37. 37.

    https://openopps.com/api/tbfy/ocds.

  38. 38.

    https://api.opencorporates.com/documentation/Open-Refine-Reconciliation-API.

  39. 39.

    https://api.opencorporates.com/documentation/API-Reference.

  40. 40.

    https://hub.docker.com/r/tbfy/kg-ingestion-service.

  41. 41.

    https://github.com/TBFY/knowledge-graph.

  42. 42.

    http://yasgui.tbfy.eu.

  43. 43.

    https://github.com/TBFY/r4r.

  44. 44.

    https://velocity.apache.org.

  45. 45.

    https://github.com/TBFY/knowledge-graph-API/wiki.

  46. 46.

    http://tbfy.ijs.si.

  47. 47.

    http://tbfy.librairy.linkeddata.es/search-api.

  48. 48.

    http://bit.ly/tbfy-search-demo.

  49. 49.

    https://ec.europa.eu/jrc/en/language-technologies/jrc-acquis.

  50. 50.

    http://eurovoc.europa.eu.

  51. 51.

    http://librairy.linkeddata.es/nlp.

  52. 52.

    https://grupooesia.com/en/.

  53. 53.

    https://zaragoza.es/sede/servicio/transparencia.

  54. 54.

    https://company.cerved.com.

  55. 55.

    https://tbfy.github.io/platform.

References

  1. Alvarez-Rodríguez, J.M., et al.: New trends on e-Procurement applying semantic technologies. Comput. Ind. 65(5), 797–799 (2014)

    Article  Google Scholar 

  2. Badenes-Olmedo, C., et al.: Scalable cross-lingual similarity through language-specific concept hierarchies. In: Proceedings of K-CAP 2019, 147–153 (2019)

    Google Scholar 

  3. Bansal, S.K., Kagemann, S.: Integrating big data: a semantic extract-transform-load framework. Computer 48(3), 42–50 (2015)

    Article  Google Scholar 

  4. Bennett, M.: The financial industry business ontology: best practice for big data. J. Banking Regul. 14(3), 255–268 (2013)

    Article  Google Scholar 

  5. Chandola, V., et al.: Anomaly detection: a survey. ACM Comput. Surv. 41(3) (2009)

    Google Scholar 

  6. Corcho, O., et al.: Ontological engineering: principles, methods, tools and languages. In: Calero, C., Ruiz, F., Piattini, M. (eds.) Ontologies for Software Engineering and Software Technology, pp. 1–48. Springer, Berlin (2006). https://doi.org/10.1007/3-540-34518-3_1

  7. Daga, E., et al.: A BASILar approach for building web APIs on top of SPARQL endpoints. In: Proceedings of SALAD 2015. CEUR-WS.org (2015)

    Google Scholar 

  8. Distinto, I., et al.: LOTED2: an ontology of European public procurement notices. Semantic Web 7(3), 267–293 (2016)

    Article  Google Scholar 

  9. Espinoza-Arias, P., et al.: The zaragoza’s knowledge graph: open data to harness the city knowledge. Information 11(3) (2020)

    Google Scholar 

  10. The Cost of Non-Europe in the area of Organised Crime and Corruption. Technical report, European Parliment (2016). https://www.europarl.europa.eu/RegData/etudes/STUD/2016/579319/EPRS_STU%282016%29579319_EN.pdf

  11. Futia, G., Melandri, A., Vetrò, A., Morando, F., De Martin, J.C.: Removing barriers to transparency: a case study on the use of semantic technologies to tackle procurement data inconsistency. In: Blomqvist, E., Maynard, D., Gangemi, A., Hoekstra, R., Hitzler, P., Hartig, O. (eds.) ESWC 2017. LNCS, vol. 10249, pp. 623–637. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58068-5_38

    Chapter  Google Scholar 

  12. Giese, M., et al.: Optique: zooming in on big data. Computer 48(3), 60–67 (2015)

    Article  Google Scholar 

  13. Janssen, M., Konopnicki, D., Snowdon, J.L., Ojo, A.: Driving public sector innovation using big and open linked data (BOLD). Inf. Syst. Front. 19(2), 189–195 (2017). https://doi.org/10.1007/s10796-017-9746-2

    Article  Google Scholar 

  14. Meroño-Peñuela, A., Hoekstra, R.: grlc makes GitHub taste like linked data APIs. In: Sack, H., Rizzo, G., Steinmetz, N., Mladenić, D., Auer, S., Lange, C. (eds.) ESWC 2016. LNCS, vol. 9989, pp. 342–353. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47602-5_48

    Chapter  Google Scholar 

  15. Miroslav, M., et al.: Semantic technologies on the mission: preventing corruption in public procurement. Comput. Industry 65(5), 878–890 (2014)

    Article  Google Scholar 

  16. Muñoz-Soro, J., et al.: PPROC, an ontology for transparency in public procurement. Semantic Web 7(3), 295–309 (2016)

    Article  Google Scholar 

  17. Necaský, M., et al.: Linked data support for filing public contracts. Comput. Industry 65(5), 862–877 (2014)

    Article  Google Scholar 

  18. Noy, N.F., McGuinness, D.L.: Ontology development 101: a guide to creating your first ontology. Technical report, Stanford Medical Informatics (2001)

    Google Scholar 

  19. OECD Principles for Integrity in Public Procurement. Technical report, OECD (2009). http://www.oecd.org/gov/ethics/48994520.pdf

  20. Rodríguez, J.M.Á., et al.: Towards a pan-European E-procurement platform to aggregate, publish and search public procurement notices powered by linked open data: the moldeas approach. Int. J. Softw. Eng. Knowl. Eng. 22(3), 365–384 (2012)

    Article  Google Scholar 

  21. Roman, D., et al.: The euBusinessGraph ontology: a lightweight ontology for harmonizing basic company information. Semantic Web under Rev. (2020). http://www.semantic-web-journal.net/system/files/swj2421.pdf

  22. Simperl, E., et al.: Towards a knowledge graph based platform for public procurement. In: Garoufallou, E., Sartori, F., Siatri, R., Zervas, M. (eds.) MTSR 2018. CCIS, vol. 846, pp. 317–323. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14401-2_29

    Chapter  Google Scholar 

  23. Soylu, A., et al.: Towards integrating public procurement data into a semantic knowledge graph. In: Proceedings of EKAW 2018 Poster and Demonstrations. CEUR-WS.org (2018)

    Google Scholar 

  24. Soylu, A., et al.: An overview of the TBFY knowledge graph for public procurement. In: Proceedings of ISWC 2019 Satellite Tracks. CEUR-WS.org (2019)

    Google Scholar 

  25. Soylu, A., Elvesæter, B., Turk, P., Roman, D., Corcho, O., Simperl, E., Konstantinidis, G., Lech, T.C.: Towards an ontology for public procurement based on the open contracting data standard. In: Pappas, I.O., Mikalef, P., Dwivedi, Y.K., Jaccheri, L., Krogstie, J., Mäntymäki, M. (eds.) I3E 2019. LNCS, vol. 11701, pp. 230–237. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29374-1_19

    Chapter  Google Scholar 

  26. TBFY: KG data dump (2020). https://doi.org/10.5281/zenodo.3712323

  27. Yan, J., Wang, C., Cheng, W., Gao, M., Zhou, A.: A retrospective of knowledge graphs. Front. Comput. Sci. 12(1), 55–74 (2018). https://doi.org/10.1007/s11704-016-5228-9

    Article  Google Scholar 

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Acknowledgements

The work reported in this paper is partly funded by EC H2020 TheyBuyForYou (780247) and euBusinessGraph (grant 732003) projects.

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Correspondence to Ahmet Soylu .

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Soylu, A. et al. (2020). Enhancing Public Procurement in the European Union Through Constructing and Exploiting an Integrated Knowledge Graph. In: Pan, J.Z., et al. The Semantic Web – ISWC 2020. ISWC 2020. Lecture Notes in Computer Science(), vol 12507. Springer, Cham. https://doi.org/10.1007/978-3-030-62466-8_27

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  • DOI: https://doi.org/10.1007/978-3-030-62466-8_27

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