Details
| Original language | English |
|---|---|
| Title of host publication | Web Engineering - 22nd International Conference, ICWE 2022, Proceedings |
| Editors | Tommaso Di Noia, In-Young Ko, Markus Schedl, Carmelo Ardito |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 148-161 |
| Number of pages | 14 |
| ISBN (electronic) | 978-3-031-09917-5 |
| ISBN (print) | 9783031099168 |
| Publication status | Published - 2022 |
| Event | 22nd International Conference on Web Engineering, ICWE 2022 - Bari, Italy Duration: 5 Jul 2022 → 8 Jul 2022 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 13362 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
Leveraging a GraphQL-based federated query service that integrates multiple scholarly communication infrastructures (specifically, DataCite, ORCID, ROR, OpenAIRE, Semantic Scholar, Wikidata and Altmetric), we develop a novel web widget based approach for the presentation of scholarly knowledge with rich contextual information. We implement the proposed approach in the Open Research Knowledge Graph (ORKG) and showcase it on three kinds of widgets. First, we devise a widget for the ORKG paper view that presents contextual information about related datasets, software, project information, topics, and metrics. Second, we extend the ORKG contributor profile view with contextual information including authored articles, developed software, linked projects, and research interests. Third, we advance ORKG comparison faceted search by introducing contextual facets (e.g. citations). As a result, the devised approach enables presenting ORKG scholarly knowledge flexibly enriched with contextual information sourced in a federated manner from numerous technologically heterogeneous scholarly communication infrastructures.
Keywords
- Federated querying, Information enrichment, Knowledge graphs, Scholarly communication infrastructures, Scholarly knowledge
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
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Web Engineering - 22nd International Conference, ICWE 2022, Proceedings. ed. / Tommaso Di Noia; In-Young Ko; Markus Schedl; Carmelo Ardito. Springer Science and Business Media Deutschland GmbH, 2022. p. 148-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13362 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Enriching Scholarly Knowledge with Context
AU - Haris, Muhammad
AU - Stocker, Markus
AU - Auer, Sören
N1 - Funding Information: This work was co-funded by the European Research Council for the project ScienceGRAPH (Grant agreement ID: 819536) and TIB–Leibniz Information Centre for Science and Technology.
PY - 2022
Y1 - 2022
N2 - Leveraging a GraphQL-based federated query service that integrates multiple scholarly communication infrastructures (specifically, DataCite, ORCID, ROR, OpenAIRE, Semantic Scholar, Wikidata and Altmetric), we develop a novel web widget based approach for the presentation of scholarly knowledge with rich contextual information. We implement the proposed approach in the Open Research Knowledge Graph (ORKG) and showcase it on three kinds of widgets. First, we devise a widget for the ORKG paper view that presents contextual information about related datasets, software, project information, topics, and metrics. Second, we extend the ORKG contributor profile view with contextual information including authored articles, developed software, linked projects, and research interests. Third, we advance ORKG comparison faceted search by introducing contextual facets (e.g. citations). As a result, the devised approach enables presenting ORKG scholarly knowledge flexibly enriched with contextual information sourced in a federated manner from numerous technologically heterogeneous scholarly communication infrastructures.
AB - Leveraging a GraphQL-based federated query service that integrates multiple scholarly communication infrastructures (specifically, DataCite, ORCID, ROR, OpenAIRE, Semantic Scholar, Wikidata and Altmetric), we develop a novel web widget based approach for the presentation of scholarly knowledge with rich contextual information. We implement the proposed approach in the Open Research Knowledge Graph (ORKG) and showcase it on three kinds of widgets. First, we devise a widget for the ORKG paper view that presents contextual information about related datasets, software, project information, topics, and metrics. Second, we extend the ORKG contributor profile view with contextual information including authored articles, developed software, linked projects, and research interests. Third, we advance ORKG comparison faceted search by introducing contextual facets (e.g. citations). As a result, the devised approach enables presenting ORKG scholarly knowledge flexibly enriched with contextual information sourced in a federated manner from numerous technologically heterogeneous scholarly communication infrastructures.
KW - Federated querying
KW - Information enrichment
KW - Knowledge graphs
KW - Scholarly communication infrastructures
KW - Scholarly knowledge
UR - http://www.scopus.com/inward/record.url?scp=85135050732&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2203.14617
DO - 10.48550/arXiv.2203.14617
M3 - Conference contribution
AN - SCOPUS:85135050732
SN - 9783031099168
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 148
EP - 161
BT - Web Engineering - 22nd International Conference, ICWE 2022, Proceedings
A2 - Di Noia, Tommaso
A2 - Ko, In-Young
A2 - Schedl, Markus
A2 - Ardito, Carmelo
PB - Springer Science and Business Media Deutschland GmbH
T2 - 22nd International Conference on Web Engineering, ICWE 2022
Y2 - 5 July 2022 through 8 July 2022
ER -