Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 12th IEEE International Conference on Semantic Computing (ICSC 2018) |
| Untertitel | Proceedings |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 41-48 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 9781538644072 |
| Publikationsstatus | Veröffentlicht - 9 Apr. 2018 |
| Veranstaltung | 12th IEEE International Conference on Semantic Computing, ICSC 2018 - Laguna Hills, USA / Vereinigte Staaten Dauer: 31 Jan. 2018 → 2 Feb. 2018 |
Abstract
Researchers spend a lot of time on finding information about people, events, journals, and research areas related to topics of their interest. Digital libraries and digital scholarly repositories usually offer services to assist researchers in this task. However, every research community has its own way of distributing scholarly metadata. Mailing lists provide an instantaneous channel and are often used for discussing topics of interest to a community of researchers, or to announce important information - albeit in an unstructured way. To bring structure specifically into the announcements of events and thus to enable researchers to, e.g., filter them by relevance, we present a semi-automatic crowd-sourcing workflow that captures metadata of events from call-for-papers emails into the OpenResearch.org semantic wiki. Evaluations confirm that our approach reduces the high number of actions that researchers currently have to perform manually when tracing calls for papers received via mailing lists.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Artificial intelligence
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Mensch-Maschine-Interaktion
- Entscheidungswissenschaften (insg.)
- Informationssysteme und -management
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12th IEEE International Conference on Semantic Computing (ICSC 2018): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. S. 41-48.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - SAANSET: Semi-Automated Acquisition of Scholarly Metadata using OpenResearch.org Platform
AU - Omar, Rebaz
AU - Vahdati, Sahar
AU - Lange, Christoph
AU - Vidal, Maria Esther
AU - Behrend, Andreas
PY - 2018/4/9
Y1 - 2018/4/9
N2 - Researchers spend a lot of time on finding information about people, events, journals, and research areas related to topics of their interest. Digital libraries and digital scholarly repositories usually offer services to assist researchers in this task. However, every research community has its own way of distributing scholarly metadata. Mailing lists provide an instantaneous channel and are often used for discussing topics of interest to a community of researchers, or to announce important information - albeit in an unstructured way. To bring structure specifically into the announcements of events and thus to enable researchers to, e.g., filter them by relevance, we present a semi-automatic crowd-sourcing workflow that captures metadata of events from call-for-papers emails into the OpenResearch.org semantic wiki. Evaluations confirm that our approach reduces the high number of actions that researchers currently have to perform manually when tracing calls for papers received via mailing lists.
AB - Researchers spend a lot of time on finding information about people, events, journals, and research areas related to topics of their interest. Digital libraries and digital scholarly repositories usually offer services to assist researchers in this task. However, every research community has its own way of distributing scholarly metadata. Mailing lists provide an instantaneous channel and are often used for discussing topics of interest to a community of researchers, or to announce important information - albeit in an unstructured way. To bring structure specifically into the announcements of events and thus to enable researchers to, e.g., filter them by relevance, we present a semi-automatic crowd-sourcing workflow that captures metadata of events from call-for-papers emails into the OpenResearch.org semantic wiki. Evaluations confirm that our approach reduces the high number of actions that researchers currently have to perform manually when tracing calls for papers received via mailing lists.
KW - Knowledge Acquisition
KW - Mailing Lists
KW - Metadata Extraction
KW - Scientific Event Knowledge Graph
KW - Scientific Events
KW - Semantic Media Wiki
KW - Semantic Publishing
UR - http://www.scopus.com/inward/record.url?scp=85048425152&partnerID=8YFLogxK
U2 - 10.1109/ICSC.2018.00015
DO - 10.1109/ICSC.2018.00015
M3 - Conference contribution
AN - SCOPUS:85048425152
SP - 41
EP - 48
BT - 12th IEEE International Conference on Semantic Computing (ICSC 2018)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE International Conference on Semantic Computing, ICSC 2018
Y2 - 31 January 2018 through 2 February 2018
ER -