Enriching Scholarly Knowledge with Context

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

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  • Technische Informationsbibliothek (TIB) Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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OriginalspracheEnglisch
Titel des SammelwerksWeb Engineering - 22nd International Conference, ICWE 2022, Proceedings
Herausgeber/-innenTommaso Di Noia, In-Young Ko, Markus Schedl, Carmelo Ardito
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten148-161
Seitenumfang14
ISBN (elektronisch)978-3-031-09917-5
ISBN (Print)9783031099168
PublikationsstatusVeröffentlicht - 2022
Veranstaltung22nd International Conference on Web Engineering, ICWE 2022 - Bari, Italien
Dauer: 5 Juli 20228 Juli 2022

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band13362 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)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.

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Enriching Scholarly Knowledge with Context. / Haris, Muhammad; Stocker, Markus; Auer, Sören.
Web Engineering - 22nd International Conference, ICWE 2022, Proceedings. Hrsg. / Tommaso Di Noia; In-Young Ko; Markus Schedl; Carmelo Ardito. Springer Science and Business Media Deutschland GmbH, 2022. S. 148-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13362 LNCS).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Haris, M, Stocker, M & Auer, S 2022, Enriching Scholarly Knowledge with Context. in T Di Noia, I-Y Ko, M Schedl & C Ardito (Hrsg.), Web Engineering - 22nd International Conference, ICWE 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 13362 LNCS, Springer Science and Business Media Deutschland GmbH, S. 148-161, 22nd International Conference on Web Engineering, ICWE 2022, Bari, Italien, 5 Juli 2022. https://doi.org/10.48550/arXiv.2203.14617, https://doi.org/10.1007/978-3-031-09917-5_10
Haris, M., Stocker, M., & Auer, S. (2022). Enriching Scholarly Knowledge with Context. In T. Di Noia, I.-Y. Ko, M. Schedl, & C. Ardito (Hrsg.), Web Engineering - 22nd International Conference, ICWE 2022, Proceedings (S. 148-161). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13362 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.48550/arXiv.2203.14617, https://doi.org/10.1007/978-3-031-09917-5_10
Haris M, Stocker M, Auer S. Enriching Scholarly Knowledge with Context. in Di Noia T, Ko IY, Schedl M, Ardito C, Hrsg., Web Engineering - 22nd International Conference, ICWE 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. S. 148-161. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2022 Jul 1. doi: 10.48550/arXiv.2203.14617, 10.1007/978-3-031-09917-5_10
Haris, Muhammad ; Stocker, Markus ; Auer, Sören. / Enriching Scholarly Knowledge with Context. Web Engineering - 22nd International Conference, ICWE 2022, Proceedings. Hrsg. / Tommaso Di Noia ; In-Young Ko ; Markus Schedl ; Carmelo Ardito. Springer Science and Business Media Deutschland GmbH, 2022. S. 148-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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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.",
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author = "Muhammad Haris and Markus Stocker and S{\"o}ren Auer",
note = "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. ; 22nd International Conference on Web Engineering, ICWE 2022 ; Conference date: 05-07-2022 Through 08-07-2022",
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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.

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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.

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KW - Information enrichment

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