{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T15:54:27Z","timestamp":1776268467905,"version":"3.50.1"},"reference-count":14,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:p>\n            Monitoring Sustainable Development Goal (SDG) indicators requires integrating heterogeneous open datasets from sources such as relational databases, NoSQL stores, and APIs. While SDG indicators follow standardized definitions, open data sources are often fragmented, schema-less, and inconsistent, making both integration and computation challenging. In this demonstration, we present\n            <jats:bold>SDG-KG<\/jats:bold>\n            , a spatio-temporal Knowledge Graph (KG) framework designed to structure metadata, guide data retrieval, and formalize indicator computation workflows. Our approach leverages graph-based modeling to construct a Metadata Graph, apply conflict resolution techniques when multiple sources provide overlapping data, and dynamically generate query-driven execution plans. Through an interactive interface, users can explore United Nations specifications, inspect data provenance and the generated KG, and visualize the computed indicators.\n          <\/jats:p>","DOI":"10.14778\/3750601.3750673","type":"journal-article","created":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T13:38:05Z","timestamp":1758029885000},"page":"5367-5370","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["SDG-KG: A Framework to Compute SDG Indicators with Open Data"],"prefix":"10.14778","volume":"18","author":[{"given":"Wissal","family":"Benjira","sequence":"first","affiliation":[{"name":"De Vinci Higher Education, De Vinci Research Center &amp; LASTIG, IGN, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicolas","family":"Travers","sequence":"additional","affiliation":[{"name":"De Vinci Higher Education, De Vinci Research Center, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Faten","family":"Atigui","sequence":"additional","affiliation":[{"name":"CEDRIC, CNAM, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B\u00e9n\u00e9dicte","family":"Bucher","sequence":"additional","affiliation":[{"name":"LASTIG, IGN, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Malika","family":"Grim-Yefsah","sequence":"additional","affiliation":[{"name":"LASTIG, IGN, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,9,16]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"ESTOCADA: Towards Scalable Polystore Systems. 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Conflict Handling Strategies in an Integrated Information System. Humboldt-Universit\u00e4t zu Berlin MathematischNaturwissenschaftliche. 286\u2013297 pages."},{"key":"e_1_2_1_6_1","volume-title":"Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion. KDD","author":"Dong X.","year":"2014","unstructured":"X. Dong, E. Gabrilovich, G. Heitz, et al. 2014. Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion. KDD (2014), 601\u2013610."},{"key":"e_1_2_1_7_1","doi-asserted-by":"crossref","unstructured":"E. Fotopoulou I. Mandilara A. Zafeiropoulos C. Laspidou Gi. Adamos P. Koundouri and S. Papavassiliou. 2022. SustainGraph: A knowledge graph for tracking the progress and the interlinking among the sustainable development goals' targets. Frontiers in Environmental Science 10 (2022).","DOI":"10.3389\/fenvs.2022.1003599"},{"key":"e_1_2_1_8_1","unstructured":"F. Hanani and S. Aziz. 2021. Improving traffic congestion assessment by using fuzzy logic approach. Journal of Theoretical and Applied Information Technology Vol.99. No 3 (2021) 625\u2013638."},{"key":"e_1_2_1_9_1","doi-asserted-by":"crossref","unstructured":"A. Hogan E. Blomqvist M. Cochez C. D'amato G. De Melo C. Gutierrez S. Kirrane J. E. L. Gayo R. Navigli S. Neumaier A.-C. N. Ngomo A. Polleres S. M. Rashid A. Rula L. Schmelzeisen J. Sequeda S. Staab and A. Zimmermann. 2021. Knowledge Graphs. ACM Comput. Surv. 54 4 (2021).","DOI":"10.1145\/3447772"},{"key":"e_1_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Y. Jiang and D. Johnson. 2023. Data Discovery for the SDGs: A Systematic Rule-based Approach. In GoodIT'23 (Lisbon Portugal). 384\u2013391.","DOI":"10.1145\/3582515.3609557"},{"key":"e_1_2_1_11_1","first-page":"403","article-title":"Decisions with Multiple Objectives","volume":"9","author":"Keeney R. L.","year":"1979","unstructured":"R. L. Keeney, H. Raiffa, and David W. Rajala. 1979. Decisions with Multiple Objectives: Preferences and Value Trade-Offs. Vol. 9. 403\u2013403 pages.","journal-title":"Preferences and Value Trade-Offs."},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331166"},{"key":"e_1_2_1_13_1","volume-title":"TaDA Workshop at VLDB'24","author":"Parciak M.","unstructured":"M. Parciak, B. Vandevoort, F. Neven, L. M. Peeters, and S. Vansummeren. 2024. Schema Matching with Large Language Models: an Experimental Study. In TaDA Workshop at VLDB'24. VLDB.org."},{"key":"e_1_2_1_14_1","doi-asserted-by":"crossref","unstructured":"R. van Loenhout C. Ranasinghe A. Degbelo and N. Bouali. 2022. Physicalizing Sustainable Development Goals Data: An Example with SDG 7. In CHI EA'22.","DOI":"10.1145\/3491101.3519638"}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/3750601.3750673","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T13:42:44Z","timestamp":1758030164000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/3750601.3750673"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":14,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["10.14778\/3750601.3750673"],"URL":"https:\/\/doi.org\/10.14778\/3750601.3750673","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2025,8]]},"assertion":[{"value":"2025-09-16","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}