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Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium

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ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium (TPDL 2020, ADBIS 2020)

Abstract

Research on database and information technologies has been rapidly evolving over the last couple of years. This evolution was lead by three major forces: Big Data, AI and Connected World that open the door to innovative research directions and challenges, yet exploiting four main areas: (i) computational and storage resource modeling and organization; (ii) new programming models, (iii) processing power and (iv) new applications that emerge related to health, environment, education, Cultural Heritage, Banking, etc. The 24th East-European Conference on Advances in Databases and Information Systems (ADBIS 2020), the 24th International Conference on Theory and Practice of Digital Libraries (TPDL 2020) and the 16th Workshop on Business Intelligence and Big Data (EDA 2020), held during August 25–27, 2020, at Lyon, France, and associated satellite events aimed at covering some emerging issues related to database and information system research in these areas. The aim of this paper is to present such events, their motivations, and topics of interest, as well as briefly outline the papers selected for presentations. The selected papers will then be included in the remainder of this volume.

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References

  1. Alvarez de Toledo, D., D’Orazio, L., Andres, F., Leite, M.: Cooking related carbon footprint evaluation and optimisation. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 122–128. Springer, Cham (2020)

    Google Scholar 

  2. Amavi, J., Halfeld-Ferrari, M., Hiot, N.: Natural language querying system through entity enrichment. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 36–48. Springer, Cham (2020)

    Google Scholar 

  3. Angioni, S., Salatino, A., Osborne, F., Recupero, D.R., Enrico Motta, E.: Integrating knowledge graphs for analysing academia and industry dynamics. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 219–225. Springer, Cham (2020)

    Google Scholar 

  4. Arani, Z., Chapman, D., Wang, C., Gruenwald, L., D’orazio, L., Basiuk, T.: A scored semantic cache replacement strategy for mobile cloud database systems. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 237–248. Springer, Cham (2020)

    Google Scholar 

  5. Aryani, A., Fenner, M., Manghi, P., Mannocci, A., Stocker, M.: Open science graphs must interoperate! In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 195–206. Springer, Cham (2020)

    Google Scholar 

  6. Brzeski, A., et al.: Automated classifier development process for recognizing book pages from video frames. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 169–179. Springer, Cham (2020)

    Google Scholar 

  7. Chatzopoulos, S., Vergoulis, T., Kanellos, I., Dalamagas, T., Tryfonopoulos, C.: Artsim: improved estimation of current impact for recent articles. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 323–334. Springer, Cham (2020)

    Google Scholar 

  8. Chialva, D., Mugabushaka, A.M.: Dingo: an ontology for projects and grants linked data. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 183–194. Springer, Cham (2020)

    Google Scholar 

  9. Duarte, M.M.G., Schroeder, R., Hara, C.S.: Grid based clustering of waze data on a relational database. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 249–258. Springer, Cham (2020)

    Google Scholar 

  10. Dziubich, T., Białas, P., Znaniecki, L., Halman, J., Brzeziński, J.: Abdominal aortic aneurysm segmentation from contrast-enhanced computed tomography angiography using deep convolutional networks. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 158–168. Springer, Cham (2020)

    Google Scholar 

  11. Eidizadehakhcheloo, S., Pijani, B.A., Imine, A., Rusinowitch, M.: Your age revealed by Facebook picture metadata. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 259–270. Springer, Cham (2020)

    Google Scholar 

  12. Hajdu, L., Krész, M.: Temporal network analytics for fraud detection in the banking sector. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 145–157. Springer, Cham (2020)

    Google Scholar 

  13. Han, K., Yang, P., Mishra, S., Diesner, J.: Wikicssh: extracting computer science subject headings from Wikipedia. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 207–218. Springer, Cham (2020)

    Google Scholar 

  14. Kovacevic, A., Vukicevic, M., Radovanovic, S., Delibasic, B.: Crex-wisdom framework for fusion of crowd and experts in crowd voting environment - machine learning approach. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 131–144. Springer, Cham (2020)

    Google Scholar 

  15. Lin, J., Xie, D.: OMProv: provenance mechanism for objects in deep learning. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 98–109. Springer, Cham (2020)

    Google Scholar 

  16. Magalhaes, D., Pozo, A.: Classification of relationship in argumentation using graph convolutional network. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 60–71. Springer, Cham (2020)

    Google Scholar 

  17. Marchand, E., Gagnon, M., Zouaq, A.: Extraction of a knowledge graph from French cultural heritage documents. In: In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 23–35. Springer, Cham (2020)

    Google Scholar 

  18. Medeiros, C.M., Costa, U.S., Grigorev, S.V., Musicante, M.A.: Recursive expressions for SPARQL property paths. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 72–84. Springer, Cham (2020)

    Google Scholar 

  19. Oncevay, A., Sobrevilla, M., Alatrista-Salas, H., Melgar, A.: Public riots in Twitter: Domain-based event filtering during civil unrest. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 49–59. Springer, Cham (2020)

    Google Scholar 

  20. Owuor, D., Laurent, A., Orero, J.: Exploiting IoT data crossings for gradual pattern mining through parallel processing. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 110–121. Springer, Cham (2020)

    Google Scholar 

  21. Chronis, P., Dimitrios Skoutas, S.A., Skiadopoulos, S.: Link prediction in bibliographic networks. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 335–340. Springer, Cham (2020)

    Google Scholar 

  22. Papastefanatos, G., et al.: Open science observatory: monitoring open science in Europe. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 341–346. Springer, Cham (2020)

    Google Scholar 

  23. Rahman, M.S.: Supervised machine learning model to help controllers solving aircraft conflicts. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 355–361. Springer, Cham (2020)

    Google Scholar 

  24. Ramos-Gutiérrez, B., Parody, L., López, M.T.G.: Towards the detection of promising processes by analysing the relational data. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 283–295. Springer, Cham (2020)

    Google Scholar 

  25. Rocha, G.M., Capelo, P.L., Dutra De Aguiar Ciferri, C.: Healthcare decision-making over a geographic, socioeconomic, and image data warehouse. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 85–97. Springer, Cham (2020)

    Google Scholar 

  26. Serra, F.: Handling context in data quality management. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 362–367. Springer, Cham (2020)

    Google Scholar 

  27. Stoupas, G., Antonis Sidiropoulos, D.K., Manolopoulos, Y.: Skyline-based university rankings. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 347–352. Springer, Cham (2020)

    Google Scholar 

  28. Tavares, G.M., Junior, S.B.: Analysis of language inspired trace representation for anomaly detection. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 296–308. Springer, Cham (2020)

    Google Scholar 

  29. Vargas-Solar, G., Zechinelli-Martini, J., Espinosa-Oviedo, J.A.: Enacting data science pipelines for exploring graphs: from libraries to studios. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 271–280. Springer, Cham (2020)

    Google Scholar 

  30. Weber, T.: A philological perspective on meta-scientific knowledge graphs. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 226–233. Springer, Cham (2020)

    Google Scholar 

  31. Wu, X., Theodoratos, D., Skoutas, D., Lan, M.: Exploring citation networks with hybrid tree pattern queries. In: Bellatreche, L., et al. (eds.) ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, CCIS 1260, pp. 311–322. Springer, Cham (2020)

    Google Scholar 

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Correspondence to Ladjel Bellatreche .

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Bellatreche, L. et al. (2020). Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium. In: Bellatreche, L., et al. ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium. TPDL ADBIS 2020 2020. Communications in Computer and Information Science, vol 1260. Springer, Cham. https://doi.org/10.1007/978-3-030-55814-7_1

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  • DOI: https://doi.org/10.1007/978-3-030-55814-7_1

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