Enriching Scholarly Knowledge with Context
Muhammad Haris, Markus Stocker, S\"oren Auer

TL;DR
This paper introduces a federated query service and web widgets that enrich scholarly knowledge graphs with rich, contextually integrated information from multiple scholarly data sources, enhancing presentation and exploration.
Contribution
It presents a novel federated query approach and web widget system integrated into the Open Research Knowledge Graph for enriched scholarly knowledge presentation.
Findings
Implemented in ORKG with three widget types
Enables rich contextual information presentation
Facilitates federated data integration from multiple sources
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,…
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Graph Neural Networks · Scientific Computing and Data Management
