Federating Scholarly Infrastructures with GraphQL

Haris, Muhammad; Farfar, Kheir Eddine; Stocker, Markus; Auer, Sören

doi:10.1007/978-3-030-91669-5_24

Cited by 6 publications

(3 citation statements)

References 35 publications

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“…Towards this goal, we propose to leverage ORKG and persistently identify its FAIR scholarly knowledge (Papers). This work builds and extends our earlier work published in Haris et al (2021). Our contributions are as follows: 1-Persistently identify FAIR scholarly knowledge (specifically, ORKG Papers) by leveraging DataCite services, thereby ensuring the broad findability of machine actionable scholarly knowledge in global scholarly communication infrastructures (DataCite, OpenAIRE and ORCID).…”

Section: Introductionmentioning

confidence: 75%

Persistent Identification and Interlinking of FAIR Scholarly Knowledge

Haris¹,

Stocker²,

Auer³

2022

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We leverage the Open Research Knowledge Graph -a scholarly infrastructure that supports the creation, curation, and reuse of structured, semantic scholarly knowledge -and present an approach for persistent identification of FAIR scholarly knowledge. We propose a DOI-based persistent identification of ORKG Papers, which are machine-actionable descriptions of the essential information published in scholarly articles. This enables the citability of FAIR scholarly knowledge and its discovery in global scholarly communication infrastructures (e.g., DataCite, OpenAIRE, and ORCID). While publishing, the state of the ORKG Paper is saved and cannot be further edited. To allow for updating published versions, ORKG supports creating new versions, which are linked in provenance chains. We demonstrate the linking of FAIR scholarly knowledge with digital artefacts (articles), agents (researchers) and other objects (organizations). We persistently identify FAIR scholarly knowledge (namely, ORKG Papers and ORKG Comparisons as collections of ORKG Papers) by leveraging DataCite services. Given the existing interoperability between DataCite, Crossref, OpenAIRE and ORCID, sharing metadata with DataCite ensures global findability of FAIR scholarly knowledge in scholarly communication infrastructures.

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Section: Introductionmentioning

confidence: 75%

Persistent Identification and Interlinking of FAIR Scholarly Knowledge

Haris¹,

Stocker²,

Auer³

2022

Self Cite

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“…An extension of this work is to perform QA on federated scholarly knowledge graphs that link ORKG content to metadata about articles, datasets, people, organizations, etc. published by other scholarly infrastructures 60 . Given the advanced standardization of the persistent identification, description, interlinking, and exchange of metadata about these entities as well as the provision of (programmatic) access to metadata through systems such as the GraphQL-based PID Graph, the federated integration of ORKG content with metadata about contextual entities is straightforward.…”

Section: Discussionmentioning

confidence: 99%

The SciQA Scientific Question Answering Benchmark for Scholarly Knowledge

Auer

Barone

Bartz

et al. 2023

Sci Rep

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Knowledge graphs have gained increasing popularity in the last decade in science and technology. However, knowledge graphs are currently relatively simple to moderate semantic structures that are mainly a collection of factual statements. Question answering (QA) benchmarks and systems were so far mainly geared towards encyclopedic knowledge graphs such as DBpedia and Wikidata. We present SciQA a scientific QA benchmark for scholarly knowledge. The benchmark leverages the Open Research Knowledge Graph (ORKG) which includes almost 170,000 resources describing research contributions of almost 15,000 scholarly articles from 709 research fields. Following a bottom-up methodology, we first manually developed a set of 100 complex questions that can be answered using this knowledge graph. Furthermore, we devised eight question templates with which we automatically generated further 2465 questions, that can also be answered with the ORKG. The questions cover a range of research fields and question types and are translated into corresponding SPARQL queries over the ORKG. Based on two preliminary evaluations, we show that the resulting SciQA benchmark represents a challenging task for next-generation QA systems. This task is part of the open competitions at the 22nd International Semantic Web Conference 2023 as the Scholarly Question Answering over Linked Data (QALD) Challenge.

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“…For this purpose, we developed a GraphQL-based federated system [5] that integrates multiple scholarly communication infrastructures, namely, the Open Research Knowledge Graph (ORKG) 3 [11], DataCite 4 , and GeoNames 5 . It supports executing queries in a federated manner and enables the integrated retrieval of scholarly information.…”

Section: Introductionmentioning

confidence: 99%

Enriching Scholarly Knowledge with Context

Haris¹,

Stocker²,

Auer³

2022

Preprint

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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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Federating Scholarly Infrastructures with GraphQL

Cited by 6 publications

References 35 publications

Persistent Identification and Interlinking of FAIR Scholarly Knowledge

Persistent Identification and Interlinking of FAIR Scholarly Knowledge

The SciQA Scientific Question Answering Benchmark for Scholarly Knowledge

Enriching Scholarly Knowledge with Context

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