Results of the Ontology Alignment Evaluation Initiative 2021

Autor: Mina Abd Nikooie Pour, Alsayed Algergawy, Florence Amardeilh, Reihaneh Amini, Omaima Fallatah, Daniel Faria, Irini Fundulaki, Ian Harrow, Sven Hertling, Pascal Hitzler, Martin Huschka, Liliana Ibanescu, Ernesto Jiḿenez-Ruiz, Naouel Karam, Amir LAADHAR, Patrick Lambrix, Huanyu Li, Ying Li, Franck Michel, Engy Nasr, Heiko Paulheim, Catia Pesquita, Jan Portisch, Catherine Roussey, Tzanina Saveta, Pavel Shvaiko, Andrea Splendiani, Ćassia Trojahn, Jana Vatǎšcinova, Beyza Yaman, Onďrej Zamaza, Lu Zhou

Publikováno v: Pour, M A N, Algergawy, A, Amardeilh, F, Amini, R, Fallatah, O, Faria, D, Fundulaki, I, Harrow, I, Hertling, S, Hitzler, P, Huschka, M, Ibanescu, L, Jiḿenez-Ruiz, E, Karam, N, Laadhar, A, Lambrix, P, Li, H, Li, Y, Michel, F, Nasr, E, Paulheim, H, Pesquita, C, Portisch, J, Roussey, C, Saveta, T, Shvaiko, P, Splendiani, A, Trojahn, Ć, Vatǎšcinova, J, Yaman, B, Zamaza, O & Zhou, L 2021, ' Results of the Ontology Alignment Evaluation Initiative 2021 ', CEUR Workshop Proceedings, vol. 3063, pp. 62-108 .
Aalborg University

The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities (e.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6b29ee70159f931a1053cb1253ce3188
https://vbn.aau.dk/da/publications/df1d1091-fb98-4155-914e-c4b36905c687

Standards Conformance Metrics for Geospatial Linked Data

Autor: Kevin Thompson, Rob Brennan, Beyza Yaman

Publikováno v: Knowledge Graphs and Semantic Web ISBN: 9783030653835
KGSWC
Iberoamerican Knowledge Graphs and Semantic Web Conference
Yaman, Beyza, Thompson, Kevin and Brennan, Rob ORCID: 0000-0001-8236-362X (2020) Standards conformance metrics for geospatial linked data. In: Second Iberoamerican Knowledge Graphs and Semantic Web Conference 2020, 26-27 Nov 2020, Merida, Yucatan. Mexico (Online). ISBN 978-3-030-65384-2
Communications in Computer and Information Science
Communications in Computer and Information Science-Knowledge Graphs and Semantic Web

This paper describes a set of new Geospatial Linked Data (GLD) quality metrics based on ISO and W3C spatial standards for monitoring geospatial data production. The Luzzu quality assessment framework was employed to implement the metrics and evaluate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2da2d06bd84e6b589f834f43d15cdbd3
https://doi.org/10.1007/978-3-030-65384-2_9

Designing workshop management system supporting decision making with OODB

Autor: İlhami Muharrem Orak, Beyza Yaman, Giovanna Guerrini

Publikováno v: Procedia Technology. 1:19-23

In this study, a workshop production management system supporting decision making is designed for use in small and medium-sized machine workshops. Small and medium sized companies’ quality, price, and delivery time issues are in a tough competitive

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98008a2f4231c13abd38d9e8f1dba81b
https://doi.org/10.1016/j.protcy.2012.02.006

From EO Change Rasters to Knowledge Graphs: An approach Based on Regions of Interest

Autor: Dorne, Jordane, Aussenac-Gilles, Nathalie, Comparot, Catherine, Hugues, Romain, Trojahn, Cassia

Publikováno v: Proceedings of the 4th International Workshop on Geospatial Linked Data (GeoLD 2021) Co-located with the 18th Extended Semantic Web Conference (ESWC 2021) ; ISSN 1613-0073
4th International Workshop on Geospatial Linked Data (GeoLD 2021@ESWC 2021)
4th International Workshop on Geospatial Linked Data (GeoLD 2021@ESWC 2021), Beyza Yaman; Mohamed Ahmed Sherif; Axel-Cyrille Ngonga Ngomo; Armin Haller, Jun 2021, Hersonissos, Greece. pp.67-79
4th International Workshop on Geospatial Linked Data (GeoLD 2021@ESWC 2021), Beyza Yaman; Mohamed Ahmed Sherif; Axel-Cyrille Ngonga Ngomo; Armin Haller, Jun 2021, Hersonissos, Greece. pp.76-79

International audience; This paper proposes a process that supports the full life-cycle to generate and exploit knowledge graphs (KG) from Earth observation rasters and open data. The innovative features of this process include i) an algorithm to aut

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3f5d42d00be69838b244d34497f99e8a
https://hal.science/hal-03327705/document