Details
| Original language | English |
|---|---|
| Title of host publication | The Semantic Web |
| Subtitle of host publication | 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28–June 1, 2023, Proceedings |
| Editors | Catia Pesquita, Daniel Faria, Ernesto Jimenez-Ruiz, Jamie McCusker, Mauro Dragoni, Anastasia Dimou, Raphael Troncy, Sven Hertling |
| Place of Publication | Cham |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 436-453 |
| Number of pages | 18 |
| ISBN (electronic) | 978-3-031-33455-9 |
| ISBN (print) | 9783031334542 |
| Publication status | Published - 2023 |
| Event | 20th International Conference on The Semantic Web, ESWC 2023 - Hersonissos, Greece Duration: 28 May 2023 → 1 Jun 2023 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 13870 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
Recent developments in the context of semantic technologies have given rise to ontologies for modelling scientific information in various fields of science. Over the past years, we have been engaged in the development of the Science Knowledge Graph Ontologies (SKGO), a set of ontologies for modelling research findings in various fields of science. This paper introduces the Modern Science Ontology (ModSci), an upper ontology for modelling relationships between modern science branches and related entities, including scientific discoveries, phenomena, prominent scientists, instruments, etc. ModSci provides a unifying framework for the various domain ontologies that make up the Science Knowledge Graph Ontology suite. Well-known ontology development guidelines and principles have been followed in the development and publication of the resource. We present several use cases and motivational scenarios to express the motivation behind developing the ontology and, therefore, its potential uses. We deem that within the next few years, a science knowledge graph is likely to become a crucial component for organizing and exploring scientific work.
Keywords
- Hierarchical Classification, Knowledge Representation, Modern Science, Ontology Engineering, Taxonomy
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
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The Semantic Web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28–June 1, 2023, Proceedings. ed. / Catia Pesquita; Daniel Faria; Ernesto Jimenez-Ruiz; Jamie McCusker; Mauro Dragoni; Anastasia Dimou; Raphael Troncy; Sven Hertling. Cham: Springer Science and Business Media Deutschland GmbH, 2023. p. 436-453 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13870 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - An Upper Ontology for Modern Science Branches and Related Entities
AU - Fathalla, Said
AU - Lange, Christoph
AU - Auer, Sören
PY - 2023
Y1 - 2023
N2 - Recent developments in the context of semantic technologies have given rise to ontologies for modelling scientific information in various fields of science. Over the past years, we have been engaged in the development of the Science Knowledge Graph Ontologies (SKGO), a set of ontologies for modelling research findings in various fields of science. This paper introduces the Modern Science Ontology (ModSci), an upper ontology for modelling relationships between modern science branches and related entities, including scientific discoveries, phenomena, prominent scientists, instruments, etc. ModSci provides a unifying framework for the various domain ontologies that make up the Science Knowledge Graph Ontology suite. Well-known ontology development guidelines and principles have been followed in the development and publication of the resource. We present several use cases and motivational scenarios to express the motivation behind developing the ontology and, therefore, its potential uses. We deem that within the next few years, a science knowledge graph is likely to become a crucial component for organizing and exploring scientific work.
AB - Recent developments in the context of semantic technologies have given rise to ontologies for modelling scientific information in various fields of science. Over the past years, we have been engaged in the development of the Science Knowledge Graph Ontologies (SKGO), a set of ontologies for modelling research findings in various fields of science. This paper introduces the Modern Science Ontology (ModSci), an upper ontology for modelling relationships between modern science branches and related entities, including scientific discoveries, phenomena, prominent scientists, instruments, etc. ModSci provides a unifying framework for the various domain ontologies that make up the Science Knowledge Graph Ontology suite. Well-known ontology development guidelines and principles have been followed in the development and publication of the resource. We present several use cases and motivational scenarios to express the motivation behind developing the ontology and, therefore, its potential uses. We deem that within the next few years, a science knowledge graph is likely to become a crucial component for organizing and exploring scientific work.
KW - Hierarchical Classification
KW - Knowledge Representation
KW - Modern Science
KW - Ontology Engineering
KW - Taxonomy
UR - http://www.scopus.com/inward/record.url?scp=85163407014&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-33455-9_26
DO - 10.1007/978-3-031-33455-9_26
M3 - Conference contribution
AN - SCOPUS:85163407014
SN - 9783031334542
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 436
EP - 453
BT - The Semantic Web
A2 - Pesquita, Catia
A2 - Faria, Daniel
A2 - Jimenez-Ruiz, Ernesto
A2 - McCusker, Jamie
A2 - Dragoni, Mauro
A2 - Dimou, Anastasia
A2 - Troncy, Raphael
A2 - Hertling, Sven
PB - Springer Science and Business Media Deutschland GmbH
CY - Cham
T2 - 20th International Conference on The Semantic Web, ESWC 2023
Y2 - 28 May 2023 through 1 June 2023
ER -