@incollection{fdi:010095656,
  title = {{L}everaging knowledge graphs for earth system dataset discovery},
  author = {{A}rmant, {V}incent and {V}argas-{R}ojas, {F}. and {A}gazzi, {V}ictoria and {D}esconnets, {J}ean-{C}hristophe and {M}ougenot, {I}. and {B}eretta, {V}alentina and {D}ebard, {S}tephane and {S}ymeonidou, {D}. and {M}ouakher, {A}. and {G}uerin, {J}oris and {C}atry, {T}hibault and {R}oux, {E}mmanuel},
  editor = {},
  language = {{ENG}},
  abstract = {{T}hanks to open science initiatives, thousands of standardised datasets on {E}arth {S}ystem compartments are now available on the web. {I}n particular, we have widely used {ISO} 19115 to encode spatiotemporal aspects of {E}arth {S}ystem observations. {H}owever, this standard does not specify the multiple dimensions of observations, including the features of interest, the observable properties, and the provenance. {A}s a result, researchers interested in {E}arth {S}ystem multi-disciplinary studies may miss meaningful datasets when querying independently domain-specific data portals. {W}e propose a new {D}ataset {D}iscovery {S}ystem based on {SOSA} and {DCAT} ontologies, as well as the {U}ser-{C}entric {M}etadata {M}odel ({UCMM}), to integrate dataset metadata from multiple data portals, each representing an {E}arth {S}ystem compartment. {T}he descriptive {UCMM} metadata model is exploited simultaneously to address semantic and structural heterogeneities and to build a descriptive {K}nowledge {G}raph explaining how retrieved datasets are semantically related to the user's search. {W}e introduce the implementation of two {E}arth {S}ystem {D}ataset {D}iscovery use cases. {T}he experiments and user uptake demonstrate the benefits of the {D}ataset {D}iscovery {S}ystem in multi-disciplinary {E}arth {S}ystem studies.},
  keywords = {{O}pen {D}iscovery ; {K}nowledge {G}raph ; {E}arth {S}ystem},
  booktitle = {23rd {I}nternational {S}emantic {W}eb {C}onference, {B}altimore, {MD}, {USA}, {N}ovember 11-15, 2024, {P}roceedings, {P}art {III}},
  numero = {15233},
  pages = {271--288},
  address = {{C}ham},
  publisher = {{S}pringer},
  series = {{L}ecture {N}otes in {C}omputer {S}cience},
  year = {2025},
  DOI = {10.1007/978-3-031-77847-6_15},
  ISBN = {978-3-031-77846-9},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095656},
}