Open Research Knowledge Graph: A System Walkthrough

Jaradeh, Mohamad Yaser; Oelen, Allard; Prinz, Manuel; Stocker, Markus; Auer, Sören

doi:10.1007/978-3-030-30760-8_31

Cited by 19 publications

(14 citation statements)

References 7 publications

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“…In order to illustrate how we can leverage other knowledge graphs, we use Geonames 11 for the Location property. Each instance of the Location class in ORKG has a link to the corresponding resource in the Geonames knowledge graph.…”

Section: Methodsmentioning

confidence: 99%

“…Scholarly Knowledge graphs are knowledge bases for representing scholarly knowledge [11]. If scholarly knowledge graphs represent the key content published in papers about the addressed research problem, employed materials, methods, and obtained results, then accurate information can be retrieved from such graphs to satisfy user queries and questions.…”

Section: Introductionmentioning

confidence: 99%

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Leveraging a Federation of Knowledge Graphs to Improve Faceted Search in Digital Libraries

Heidari¹,

Ramadan²,

Stocker³

et al. 2021

Preprint

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Leveraging a Federation of Knowledge Graphs to Improve Faceted Search in Digital Libraries

Heidari¹,

Ramadan²,

Stocker³

et al. 2021

Preprint

Self Cite

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“…1). On the one hand, we analyzed the documentation from the project page 3 , the wiki 4 , GitLab 5 , and related publications [1]- [3], [19], [32]- [34]. On the other hand, we used the ORKG as crowd members to acquire, curate, and publish scholarly knowledge about CrowdRE research [35], [36].…”

Section: A Proceduresmentioning

confidence: 99%

Researcher or Crowd Member? Why not both! The Open Research Knowledge Graph for Applying and Communicating CrowdRE Research

Karras¹,

Groen²,

Khan³

et al. 2021

Preprint

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In recent decades, there has been a major shift towards improved digital access to scholarly works. However, even now that these works are available in digital form, they remain document-based, making it difficult to communicate the knowledge they contain. The next logical step is to extend these works with more flexible, fine-grained, semantic, and context-sensitive representations of scholarly knowledge. The Open Research Knowledge Graph (ORKG) is a platform that structures and interlinks scholarly knowledge, relying on crowdsourced contributions from researchers (as a crowd) to acquire, curate, publish, and process this knowledge. In this experience report, we consider the ORKG in the context of Crowd-based Requirements Engineering (CrowdRE) from two perspectives:(1) As CrowdRE researchers, we investigate how the ORKG practically applies CrowdRE techniques to involve scholars in its development to make it align better with their academic work. We determined that the ORKG readily provides social and financial incentives, feedback elicitation channels, and support for context and usage monitoring, but that there is improvement potential regarding automated user feedback analyses and a holistic CrowdRE approach. (2) As crowd members, we explore how the ORKG can be used to communicate scholarly knowledge about CrowdRE research. For this purpose, we curated qualitative and quantitative scholarly knowledge in the ORKG based on papers contained in two previously published systematic literature reviews (SLRs) on CrowdRE. This knowledge can be explored and compared interactively, and with more data than what the SLRs originally contained. Therefore, the ORKG improves access and communication of the scholarly knowledge about CrowdRE research. For both perspectives, we found the ORKG to be a useful multi-tool for CrowdRE research.

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“…Scholarly Knowledge graphs are knowledge bases for representing scholarly knowledge [3]. Faceted search is a method that augments traditional search systems with a faceted exploration system, allowing users to narrow down search results by applying multiple filters based on the classification of the properties [1].…”

Section: Introductionmentioning

confidence: 99%

Demonstration of Faceted Search on Scholarly Knowledge Graphs

Heidari

Ramadan

Stocker

et al. 2021

Companion Proceedings of the Web Conference 2021

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Scientists always look for the most accurate and relevant answer to their queries on the scholarly literature. Traditional scholarly search systems list documents instead of providing direct answers to the search queries. As data in knowledge graphs are not acquainted semantically, they are not machine-readable. Therefore, a search on scholarly knowledge graphs ends up in a full-text search, not a search in the content of scholarly literature. In this demo, we present a faceted search system that retrieves data from a scholarly knowledge graph, which can be compared and filtered to better satisfy user information needs. Our practice's novelty is that we use dynamic facets, which means facets are not fixed and will change according to the content of a comparison.

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Open Research Knowledge Graph: A System Walkthrough

Cited by 19 publications

References 7 publications

Leveraging a Federation of Knowledge Graphs to Improve Faceted Search in Digital Libraries

Leveraging a Federation of Knowledge Graphs to Improve Faceted Search in Digital Libraries

Researcher or Crowd Member? Why not both! The Open Research Knowledge Graph for Applying and Communicating CrowdRE Research

Demonstration of Faceted Search on Scholarly Knowledge Graphs

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