Filters








21,059 Hits in 6.4 sec

Comparing research contributions in a scholarly knowledge graph [article]

A. Oelen, M.Y. Jaradeh, K.E. Farfar, M. Stocker, S. Auer, University, My, University, My
2020
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]

Mohamad Yaser Jaradeh, Allard Oelen, Kheir Eddine Farfar, Manuel Prinz, Jennifer D'Souza, Gábor Kismihók, Markus Stocker, Sören Auer
2019 arXiv   pre-print
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]

A. Oelen, M. Y. Jaradeh, M. Stocker, S. Auer
2020 arXiv   pre-print
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

Sören Auer, Allard Oelen, Muhammad Haris, Markus Stocker, Jennifer D'Souza, Kheir Eddine Farfar, Lars Vogt, Manuel Prinz, Vitalis Wiens, Mohamad Yaser Jaradeh
2020 BIBLIOTHEK Forschung und Praxis  
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]

Golsa Heidari, Ahmad Ramadan, Markus Stocker, Sören Auer
2021 arXiv   pre-print
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]

Allard Oelen, Markus Stocker, Sören Auer
2021 arXiv   pre-print
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

Houcemeddine Turki, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha, Grischa Fraumann, Christian Hauschke, Lambert Heller
2021 Frontiers in Research Metrics and Analytics  
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

Sören Auer, Viktor Kovtun, Manuel Prinz, Anna Kasprzik, Markus Stocker, Maria Esther Vidal
2018 Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics - WIMS '18  
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]

Jennifer D'Souza, Sören Auer
2021 arXiv   pre-print
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]

Oliver Karras, Eduard C. Groen, Javed Ali Khan, Sören Auer
2021 arXiv   pre-print
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]

Jennifer D'Souza, Sören Auer
2020 arXiv   pre-print
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]

Muhammad Haris, Kheir Eddine Farfar, Markus Stocker, Sören Auer
2021 arXiv   pre-print
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

Paolo Manghi, Andrea Mannocci, Francesco Osborne, Dimitris Sacharidis, Angelo Salatino, Thanasis Vergoulis
2021 Quantitative Science Studies  
, 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]

Muhammad Haris, Markus Stocker, Sören Auer
2022 arXiv   pre-print
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]

Marco Anteghini, Jennifer D'Souza, Vitor A.P. Martins dos Santos, Sören Auer
2020 arXiv   pre-print
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
« Previous Showing results 1 — 15 out of 21,059 results