Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | The Semantic Web – ISWC 2019 |
| Untertitel | 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II |
| Herausgeber/-innen | Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtech Svátek, Isabel Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon |
| Erscheinungsort | Cham |
| Herausgeber (Verlag) | Springer Nature |
| Seiten | 79-95 |
| Seitenumfang | 17 |
| Auflage | 1. |
| ISBN (elektronisch) | 9783030307967 |
| ISBN (Print) | 9783030307950 |
| Publikationsstatus | Veröffentlicht - 17 Okt. 2019 |
| Veranstaltung | 18th International Semantic Web Conference, ISWC 2019 - Auckland, Neuseeland Dauer: 26 Okt. 2019 → 30 Okt. 2019 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 11779 |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II. Hrsg. / Chiara Ghidini; Olaf Hartig; Maria Maleshkova; Vojtech Svátek; Isabel Cruz; Aidan Hogan; Jie Song; Maxime Lefrançois; Fabien Gandon. 1. Aufl. Cham: Springer Nature, 2019. S. 79-95 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 11779).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - SEO
T2 - 18th International Semantic Web Conference, ISWC 2019
AU - Fathalla, Said
AU - Vahdati, Sahar
AU - Lange, Christoph
AU - Auer, Sören
N1 - Funding Information: This work is supported by EPSRC grant EP/M025268/1, WWTF grant VRG18-013, EC Horizon 2020 grants LAMBDA (#809965) and the ERC project ScienceGRAPH (#819536).
PY - 2019/10/17
Y1 - 2019/10/17
N2 - Scientific events have become a key factor of scholarly communication for many scientific domains. They are considered as the focal point for establishing scientific relations between scholarly objects such as people (e.g., chairs and participants), places (e.g., location), actions (e.g., roles of participants), and artifacts (e.g., proceedings) in the scholarly communication domain. Metadata of scientific events have been made available in unstructured or semi-structured formats, which hides the interconnected and complex relationships between them and prevents transparency. To facilitate the management of such metadata, the representation of event-related information in an interoperable form requires a uniform conceptual modeling. The Scientific Events Ontology (OR-SEO) has been engineered to represent metadata of scientific events. We describe a systematic redesign of the information model that is used as a schema for the event pages of the OpenResearch.org community wiki, reusing well-known vocabularies to make OR-SEO interoperable in different contexts. OR-SEO is now in use on thousands of OpenResearch.org events pages, which enables users to represent structured knowledge about events without having to deal with technical implementation challenges and ontology development themselves.
AB - Scientific events have become a key factor of scholarly communication for many scientific domains. They are considered as the focal point for establishing scientific relations between scholarly objects such as people (e.g., chairs and participants), places (e.g., location), actions (e.g., roles of participants), and artifacts (e.g., proceedings) in the scholarly communication domain. Metadata of scientific events have been made available in unstructured or semi-structured formats, which hides the interconnected and complex relationships between them and prevents transparency. To facilitate the management of such metadata, the representation of event-related information in an interoperable form requires a uniform conceptual modeling. The Scientific Events Ontology (OR-SEO) has been engineered to represent metadata of scientific events. We describe a systematic redesign of the information model that is used as a schema for the event pages of the OpenResearch.org community wiki, reusing well-known vocabularies to make OR-SEO interoperable in different contexts. OR-SEO is now in use on thousands of OpenResearch.org events pages, which enables users to represent structured knowledge about events without having to deal with technical implementation challenges and ontology development themselves.
KW - Knowledge engineering
KW - Knowledge sharing
KW - Linked data
KW - Scholarly data
KW - Scientific events ontology
UR - http://www.scopus.com/inward/record.url?scp=85081079735&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-30796-7_6
DO - 10.1007/978-3-030-30796-7_6
M3 - Conference contribution
AN - SCOPUS:85081079735
SN - 9783030307950
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 79
EP - 95
BT - The Semantic Web – ISWC 2019
A2 - Ghidini, Chiara
A2 - Hartig, Olaf
A2 - Maleshkova, Maria
A2 - Svátek, Vojtech
A2 - Cruz, Isabel
A2 - Hogan, Aidan
A2 - Song, Jie
A2 - Lefrançois, Maxime
A2 - Gandon, Fabien
PB - Springer Nature
CY - Cham
Y2 - 26 October 2019 through 30 October 2019
ER -