TY - GEN
T1 - Browsing linked data catalogs with LODAtlas
AU - Pietriga, Emmanuel
AU - Gözükan, Hande
AU - Appert, Caroline
AU - Destandau, Marie
AU - Čebirić, Šejla
AU - Goasdoué, François
AU - Manolescu, Ioana
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - The Web of Data is growing fast, as exemplified by the evolution of the Linked Open Data (LOD) cloud over the last ten years. One of the consequences of this growth is that it is becoming increasingly difficult for application developers and end-users to find the datasets that would be relevant to them. Semantic Web search engines, open data catalogs, datasets and frameworks such as LODStats and LOD Laundromat, are all useful but only give partial, even if complementary, views on what datasets are available on the Web. We introduce LODAtlas, a portal that enables users to find datasets of interest. Users can make different types of queries about both the datasets’ metadata and contents, aggregated from multiple sources. They can then quickly evaluate the matching datasets’ relevance, thanks to LODAtlas’ summary visualizations of their general metadata, connections and contents.
AB - The Web of Data is growing fast, as exemplified by the evolution of the Linked Open Data (LOD) cloud over the last ten years. One of the consequences of this growth is that it is becoming increasingly difficult for application developers and end-users to find the datasets that would be relevant to them. Semantic Web search engines, open data catalogs, datasets and frameworks such as LODStats and LOD Laundromat, are all useful but only give partial, even if complementary, views on what datasets are available on the Web. We introduce LODAtlas, a portal that enables users to find datasets of interest. Users can make different types of queries about both the datasets’ metadata and contents, aggregated from multiple sources. They can then quickly evaluate the matching datasets’ relevance, thanks to LODAtlas’ summary visualizations of their general metadata, connections and contents.
KW - Dataset search
KW - Linked Data Catalogs
KW - Visualization
UR - https://www.scopus.com/pages/publications/85054864679
U2 - 10.1007/978-3-030-00668-6_9
DO - 10.1007/978-3-030-00668-6_9
M3 - Conference contribution
AN - SCOPUS:85054864679
SN - 9783030006679
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 137
EP - 153
BT - The Semantic Web – ISWC 2018 - 17th International Semantic Web Conference, 2018, Proceedings
A2 - Bontcheva, Kalina
A2 - Vrandecic, Denny
A2 - Suárez-Figueroa, Mari Carmen
A2 - Sabou, Marta
A2 - Kaffee, Lucie-Aimee
A2 - Simperl, Elena
A2 - Presutti, Valentina
A2 - Celino, Irene
PB - Springer Verlag
T2 - 17th International Semantic Web Conference, ISWC 2018
Y2 - 8 October 2018 through 12 October 2018
ER -