Details
Originalsprache | Englisch |
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Titel des Sammelwerks | Linking Theory and Practice of Digital Libraries |
Untertitel | 25th International Conference on Theory and Practice of Digital Libraries, TPDL 2021, Proceedings |
Herausgeber/-innen | Gerd Berget, Mark Michael Hall, Daniel Brenn, Sanna Kumpulainen |
Seiten | 141-152 |
Seitenumfang | 12 |
Publikationsstatus | Veröffentlicht - 2021 |
Veranstaltung | 25th International Conference on Theory and Practice of Digital Libraries, TPDL 2021 - Virtual, Online Dauer: 13 Sept. 2021 → 17 Sept. 2021 |
Publikationsreihe
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Band | 12866 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (elektronisch) | 1611-3349 |
Abstract
Scientists always look for the most accurate and relevant answers to their queries in the literature. Traditional scholarly digital libraries list documents in search results, and therefore are unable to provide precise answers to search queries. In other words, search in digital libraries is metadata search and, if available, full-text search. We present a methodology for improving a faceted search system on structured content by leveraging a federation of scholarly knowledge graphs. We implemented the methodology on top of a scholarly knowledge graph. This search system can leverage content from third-party knowledge graphs to improve the exploration of scholarly content. A novelty of our approach is that we use dynamic facets on diverse data types, meaning that facets can change according to the user query. The user can also adjust the granularity of dynamic facets. An additional novelty is that we leverage third-party knowledge graphs to improve exploring scholarly knowledge.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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Linking Theory and Practice of Digital Libraries : 25th International Conference on Theory and Practice of Digital Libraries, TPDL 2021, Proceedings. Hrsg. / Gerd Berget; Mark Michael Hall; Daniel Brenn; Sanna Kumpulainen. 2021. S. 141-152 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 12866 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Leveraging a Federation of Knowledge Graphs to Improve Faceted Search in Digital Libraries
AU - Heidari, Golsa
AU - Ramadan, Ahmad
AU - Stocker, Markus
AU - Auer, Sören
N1 - Funding Information: Acknowledgements. This work was co-funded by the European Research Council for the project ScienceGRAPH (Grant agreement ID: 819536) and the TIB Leibniz Information Centre for Science and Technology. The authors would like to thank Mohamad Yaser Jaradeh for helpful comments.
PY - 2021
Y1 - 2021
N2 - Scientists always look for the most accurate and relevant answers to their queries in the literature. Traditional scholarly digital libraries list documents in search results, and therefore are unable to provide precise answers to search queries. In other words, search in digital libraries is metadata search and, if available, full-text search. We present a methodology for improving a faceted search system on structured content by leveraging a federation of scholarly knowledge graphs. We implemented the methodology on top of a scholarly knowledge graph. This search system can leverage content from third-party knowledge graphs to improve the exploration of scholarly content. A novelty of our approach is that we use dynamic facets on diverse data types, meaning that facets can change according to the user query. The user can also adjust the granularity of dynamic facets. An additional novelty is that we leverage third-party knowledge graphs to improve exploring scholarly knowledge.
AB - Scientists always look for the most accurate and relevant answers to their queries in the literature. Traditional scholarly digital libraries list documents in search results, and therefore are unable to provide precise answers to search queries. In other words, search in digital libraries is metadata search and, if available, full-text search. We present a methodology for improving a faceted search system on structured content by leveraging a federation of scholarly knowledge graphs. We implemented the methodology on top of a scholarly knowledge graph. This search system can leverage content from third-party knowledge graphs to improve the exploration of scholarly content. A novelty of our approach is that we use dynamic facets on diverse data types, meaning that facets can change according to the user query. The user can also adjust the granularity of dynamic facets. An additional novelty is that we leverage third-party knowledge graphs to improve exploring scholarly knowledge.
KW - Digital libraries
KW - Faceted search
KW - Information retrieval
KW - Knowledge graph
KW - Scholarly knowledge
KW - Search system
UR - http://www.scopus.com/inward/record.url?scp=85115335109&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-86324-1_18
DO - 10.1007/978-3-030-86324-1_18
M3 - Conference contribution
AN - SCOPUS:85115335109
SN - 9783030863234
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 141
EP - 152
BT - Linking Theory and Practice of Digital Libraries
A2 - Berget, Gerd
A2 - Hall, Mark Michael
A2 - Brenn, Daniel
A2 - Kumpulainen, Sanna
T2 - 25th International Conference on Theory and Practice of Digital Libraries, TPDL 2021
Y2 - 13 September 2021 through 17 September 2021
ER -