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Comparing research contributions in a scholarly knowledge graph
[article]
2020
Preserved Fulltext
In this paper, we present a workflow and system designed to, among other things, compare research contributions in a scientific knowledge graph. ...
The presented workflow is implemented in the Open Research Knowledge Graph (ORKG) which enables researchers to find and compare related literature. ...
ACKNOWLEDGMENTS This work was co-funded by the European Research Council for the project ScienceGRAPH (Grant agreement ID: 819536) and the TIB Leibniz Information Centre for Science and Technology. ...
doi:10.15488/9388
fatcat:bmyvsgad5nhppdbwko5lgfmvnu
Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge
[article]
2019
arXiv
pre-print
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In this paper, we present the first steps towards a knowledge graph based infrastructure that acquires scholarly knowledge in machine actionable form thus enabling new possibilities for scholarly knowledge ...
In this form, scholarly knowledge is hard to process automatically. ...
ACKNOWLEDGMENTS This work was co-funded by the European Research Council for the project ScienceGRAPH (Grant agreement ID: 819536) and the TIB Leibniz Information Centre for Science and Technology. ...
arXiv:1901.10816v3
fatcat:muqej6fmwfe3bdbl3xmsiqxtqa
Generate FAIR Literature Surveys with Scholarly Knowledge Graphs
[article]
2020
arXiv
pre-print
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Leveraging a scholarly knowledge graph, we present a methodology and a system for comparing scholarly literature, in particular research contributions describing the addressed problem, utilized materials ...
The methodology is implemented within the Open Research Knowledge Graph (ORKG), a scholarly infrastructure that enables researchers to collaboratively describe, find and compare research contributions. ...
We want to thank Kheir Eddine Farfar for his contributions to this work. ...
arXiv:2006.01747v1
fatcat:7ls7lnxt7faovliahcbzycnk7a
Improving Access to Scientific Literature with Knowledge Graphs
2020
BIBLIOTHEK Forschung und Praxis
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In this article, we argue for representing scholarly contributions in a structured and semantic way as a knowledge graph. ...
With around 2.5 million new research contributions every year, researchers drown in a flood of pseudo-digitized PDF publications. As a result research is seriously weakened. ...
Acknowledgements: Parts of the work described in this article have been co-funded by the European Research Council for the project ScienceGRAPH (GA: 819536). ...
doi:10.1515/bfp-2020-2042
fatcat:xmzq3jmx4jftnilartjgilapty
Demonstration of Faceted Search on Scholarly Knowledge Graphs
[article]
2021
arXiv
pre-print
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2021
Companion Proceedings of the Web Conference 2021
unpublished
doi:10.1145/3442442.3458605 fatcat:7gterlldm5h4fbk4uoepov43zq
doi:10.1145/3442442.3458605 fatcat:7gterlldm5h4fbk4uoepov43zq
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. ...
INTRODUCTION Scholarly Knowledge graphs are knowledge bases for representing scholarly knowledge [3] . ...
arXiv:2107.05738v1
fatcat:lbdr6q2a6beznj76jxjcmdeksy
SmartReviews: Towards Human- and Machine-actionable Reviews
[article]
2021
arXiv
pre-print
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At the core of our approach, knowledge graphs are employed to make articles more machine-actionable and maintainable. ...
Review articles summarize state-of-the-art work and provide a means to organize the growing number of scholarly publications. ...
Acknowledgements This work was co-funded by the European Research Council for the project ScienceGRAPH (Grant agreement ID: 819536) and the TIB Leibniz Information Centre for Science and Technology. ...
arXiv:2107.03816v1
fatcat:c73vz7je2bhr5bmi3hcrfwtebi
Enhancing Knowledge Graph Extraction and Validation From Scholarly Publications Using Bibliographic Metadata
2021
Frontiers in Research Metrics and Analytics
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Acronyms used in scholarly literature can serve as a reliable goal of matching concepts in a research field. ...
for knowledge graph construction and validation from scholarly publications. ...
doi:10.3389/frma.2021.694307
pmid:34124535
pmcid:PMC8194279
fatcat:37blig26znhnhodqggia7h3ypm
Towards a Knowledge Graph for Science
2018
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics - WIMS '18
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As our main contribution, we propose the vision of a knowledge graph for science, present a possible infrastructure for such a knowledge graph as well as our early attempts towards an implementation of ...
Furthermore, research results become directly comparable and easier to reuse. ...
ACKNOWLEDGMENTS The authors would like to thank the participants of a related workshop held at TIB on March 20, 2018 for their contributions to current developments on the Open Research Knowledge Graph ...
doi:10.1145/3227609.3227689
dblp:conf/wims/AuerKPKSV18
fatcat:3adpmldez5h2dbj4v3mbyt343a
Sentence, Phrase, and Triple Annotations to Build a Knowledge Graph of Natural Language Processing Contributions – A Trial Dataset
[article]
2021
arXiv
pre-print
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over structured scholarly knowledge, as a viable aid to assist researchers in their day-to-day tasks. ...
Practical Implications: We demonstrate NLPCONTRIBUTIONGRAPH data integrated into the Open Research Knowledge Graph (ORKG), a next-generation KG-based digital library with intelligent computations enabled ...
Author contributions
Conceptualization ...
arXiv:2010.04388v2
fatcat:75cdwv2jgfcanl76onvijq5npe
Researcher or Crowd Member? Why not both! The Open Research Knowledge Graph for Applying and Communicating CrowdRE Research
[article]
2021
arXiv
pre-print
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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 ...
In recent decades, there has been a major shift towards improved digital access to scholarly works. ...
ACKNOWLEDGMENT This work was co-funded by the European Research Council for the project ScienceGRAPH (Grant agreement ID: 819536) and by the TIB -Leibniz Information Centre for Science and Technology. ...
arXiv:2108.05085v1
fatcat:iofpbauaofcrta5vjbuu2i2uuy
NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing Literature
[article]
2020
arXiv
pre-print
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ingest the dataset into the Open Research Knowledge Graph (ORKG) infrastructure as a showcase for creating user-friendly state-of-the-art overviews; 4) to integrate the machine readers into the ORKG to ...
less generically applicable for NLP-ML research articles; 2) to apply the discovered patterns in the creation of a larger annotated dataset for training machine readers of research contributions; 3) to ...
CONCLUSIONS AND FUTURE DIRECTIONS The Open Research Knowledge Graph [3] makes scholarly knowledge about research contributions machine-actionable: i.e. findable, structured, and comparable. ...
arXiv:2006.12870v3
fatcat:qavg57vytvfc7oy7rskbfushvu
Federating Scholarly Infrastructures with GraphQL
[article]
2021
arXiv
pre-print
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A plethora of scholarly knowledge is being published on distributed scholarly infrastructures. Querying a single infrastructure is no longer sufficient for researchers to satisfy information needs. ...
This type of linking increases interoperability, facilitates the reuse of scholarly knowledge, and enables finding machine actionable scholarly knowledge published by ORKG in global scholarly infrastructures ...
Acknowledgment 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. ...
arXiv:2109.05857v1
fatcat:qxa7gc2465gqfekixwkvrncvfy
New Trends in Scientific Knowledge Graphs and Research Impact Assessment
2021
Quantitative Science Studies
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, Rodrigo Costas, Marilena Daquino, Danilo Dessì, Angelo Di Iorio, Michael Färber, Patricia Feeney, Marcia Ferreira, Vladimir A. ...
ACKNOWLEDGEMENTS Many people supported us in producing this special issue and we would like to take this opportunity to thank them. ...
Finally, they also provide a tool for browsing and comparing the contents of the generated knowledge graph. ...
doi:10.1162/qss_e_00160
fatcat:rm24dfhm5nf6xnhybgchbd2za4
Enriching Scholarly Knowledge with Context
[article]
2022
arXiv
pre-print
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We implement the proposed approach in the Open Research Knowledge Graph (ORKG) and showcase it on three kinds of widgets. ...
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 ...
Acknowledgment 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. ...
arXiv:2203.14617v1
fatcat:xwsnirhgjzd2zg5qtak335syre
Representing Semantified Biological Assays in the Open Research Knowledge Graph
[article]
2020
arXiv
pre-print
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Herein, we present our work on the representation of semantified bioassays in the Open Research Knowledge Graph (ORKG). ...
In particular, we describe a semantification system work-in-progress to generate, automatically and quickly, the critical semantified bioassay data mass needed to foster a consistent user audience to adopt ...
This means structuring and organizing, in a fine-grained manner, knowledge elements from previously unstructured scholarly articles in a Knowledge Graph. ...
arXiv:2009.07642v1
fatcat:2qot3qcbungcln5lmo4ie4yhra
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