Filters








211,372 Hits in 6.7 sec

Operational Research Literature as a Use Case for the Open Research Knowledge Graph [article]

Mila Runnwerth, Markus Stocker, Sören Auer, University, My, Anna Maria Bigatti, Jacques Carette, James H. Davenport, Michael Joswig, Timo De Wolff
2021
Operational Research is a suitable test case for this vision because the mathematical field and, hence, its publication habits are highly structured: A mundane problem is formulated as a mathematical model  ...  The Open Research Knowledge Graph (ORKG) provides machine-actionable access to scholarly literature that habitually is written in prose.  ...  Thus, the research literature about ALBPs is an appropriate use case for the ORKG.  ... 
doi:10.34657/5230 fatcat:vz4j5ha3xnefljucc2nzbr43bm

Operational Research Literature as a Use Case for the Open Research Knowledge Graph [article]

Mila Runnwerth, Markus Stocker, Sören Auer
2020 pre-print
Operational Research is a suitable test case for this vision because the mathematical field and, hence, its publication habits are highly structured: A mundane problem is formulated as a mathematical model  ...  The Open Research Knowledge Graph (ORKG) provides machine-actionable access to scholarly literature that habitually is written in prose.  ...  Thus, the research literature about ALBPs is an appropriate use case for the ORKG.  ... 
doi:10.1007/978-3-030-52200-1_32 arXiv:2006.13733v1 fatcat:672mupwyyrblrptb6ma33sdu6m

A Knowledge Graph-Based Method for Automating Systematic Literature Reviews [article]

Nada Sahlab and Hesham Kahoul and Nasser Jazdi and Michael Weyrich
2022 arXiv   pre-print
The objective of this work is to present an approach to partially automate the conduction of a Systematic Literature Review as well as classify and visualize the results as a knowledge graph.  ...  Knowledge graphs model entities in a connected manner and enable new insights using different reasoning and analysis methods.  ...  Using a knowledge graph to represent findings for a systematic literature review enables efficient analysis as well as improved conclusions.  ... 
arXiv:2208.02334v1 fatcat:usumsuii4vgvbhd33lpi4a7qvy

Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review

Georg Buchgeher, David Gabauer, Jorge Martinez-Gil, Lisa Ehrlinger
2021 IEEE Access  
As a result, we can offer a complete picture of the domain, which includes such interesting aspects as the fact that knowledge fusion is currently the main use case for knowledge graphs, that empirical  ...  Therefore, we have conducted a systematic literature review as an attempt to characterize the state-of-the-art in this field, i.e., by identifying existing research and by identifying gaps and opportunities  ...  The research reported in this paper has been funded by the Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK), the Federal Ministry for Digital and Economic  ... 
doi:10.1109/access.2021.3070395 fatcat:gxawnftgkbbt3fm52ybpiqplyi

A Scholarly Knowledge Graph-Powered Dashboard: Implementation and User Evaluation

Olga Lezhnina, Gábor Kismihók, Manuel Prinz, Markus Stocker, Markus Stocker, Sören Auer, Sören Auer
2022 Frontiers in Research Metrics and Analytics  
To increase the acceptance of scholarly knowledge graphs, we present a dashboard, which visualizes the research contributions on an educational science topic in the frame of the Open Research Knowledge  ...  Scholarly knowledge graphs provide researchers with a novel modality of information retrieval, and their wider use in academia is beneficial for the digitalization of published works and the development  ...  The Open Research Knowledge Graph (ORKG) is a scholarly knowledge graph that implements the research contribution model (Vogt et al., 2020) encompassing actual results (contributions) of academic literature  ... 
doi:10.3389/frma.2022.934930 pmid:35928800 pmcid:PMC9343766 doaj:c18601a6460e41d39c1df5c99b9dd32a fatcat:r43ygol3kza2feqtm6mpcjszfm

SKG4EOSC - Scholarly Knowledge Graphs for EOSC: Establishing a backbone of knowledge graphs for FAIR Scholarly Information in EOSC

Markus Stocker, Tina Heger, Artur Schweidtmann, Hanna Ćwiek-Kupczyńska, Lyubomir Penev, Milan Dojchinovski, Egon Willighagen, Maria-Esther Vidal, Houcemeddine Turki, Daniel Balliet, Ilaria Tiddi, Tobias Kuhn (+7 others)
2022 Research Ideas and Outcomes  
This will be achieved by (1) establishing the Open Research Knowledge Graph (ORKG, orkg.org), a service operated by the SKG4EOSC coordinator, as a Hub for access to FAIR scholarly information in the EOSC  ...  for modern economies - primarily as article narratives in document form.  ...  The different Communication & dissemination tools and targets, measures to maximise impact and KPIs are outlined in Table 11 .  ... 
doi:10.3897/rio.8.e83789 fatcat:wo7ibzf4xrcqbovdvecip4dczu

iASiS Open Data Graph: Automated Semantic Integration of Disease-Specific Knowledge [article]

Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, Georgios Paliouras
2020 arXiv   pre-print
Exemplary queries are presented, investigating the potential of this automatically generated semantic graph as a basis for retrieval and analysis of disease-specific knowledge.  ...  In this study, we propose a framework to automatically retrieve and integrate disease-specific knowledge into an up-to-date semantic graph, the iASiS Open Data Graph.  ...  For the iASiS Open Data Graph framework, we developed a Literature analysis module that uses these tools to analyze the harvested literature as shown in Figure 2 .  ... 
arXiv:1912.08633v2 fatcat:djs6dt5lubctbfgc7uurqvt66e

Automated Conjecturing VII: The Graph Brain Project & Big Mathematics [article]

N. Bushaw, C. E. Larson, N. Van Cleemput (and Summer 2017 Graph Brain Project Workshop Participants)
2017 arXiv   pre-print
The Graph Brain Project is an experiment in how the use of automated mathematical discovery software, databases, large collaboration, and systematic investigation provide a model for how mathematical research  ...  We envision mathematical research labs similar to what exist in other sciences, new avenues for funding, new opportunities for training students, and a more efficient and effective use of published mathematical  ...  Acknowledgements The authors are grateful for useful comments from S. Cox, R. Meagher, M. Ong Ante, J. Padden, R. Segal, N. Sloane that have greatly improved our presentation.  ... 
arXiv:1801.01814v1 fatcat:63oddubivneijk3hsjerkojyfy

Neural networks for open and closed Literature-based Discovery

Gamal Crichton, Simon Baker, Yufan Guo, Anna Korhonen, Francisco J. Esteban
2020 PLoS ONE  
Scientific literature is growing at an exponential rate, making it difficult for researchers to stay current in their discipline and easy to miss knowledge necessary to advance their research.  ...  We propose four graph-based, neural network methods to perform open and closed LBD.  ...  Acknowledgments We wish to thank all the implementers of LINE and the creators and contributors of the 2 datasets used for making them freely available.  ... 
doi:10.1371/journal.pone.0232891 pmid:32413059 fatcat:p4tvtm7ymfgv5p6azckb5zijki

Visualizing risk factors of dementia from scholarly literature using knowledge maps and next-generation data models

Kiran Fahd, Sitalakshmi Venkatraman
2021 Visual Computing for Industry, Biomedicine, and Art  
Using scholarly research articles on dementia risk factors as a case study, automatic knowledge extraction, storage, intelligent search, and visual navigation are illustrated.  ...  This paper takes the first step in proposing a novel integrated model using knowledge maps and next-generation graph datastores to achieve a semantic visualization with domain-specific knowledge, such  ...  Acknowledgements This research was supported by Melbourne Polytechnic, Australia. Authors' contributions All authors read and approved the final manuscript. Funding Not applicable.  ... 
doi:10.1186/s42492-021-00085-x pmid:34164753 fatcat:iozts2en35eg7fyoa5c6m37ovm

Use cases of OpenAIRE Open Science services for different stakeholders

Iryna Kuchma
2019 Zenodo  
Infrastructures: The EPOS use-case Matchbook: A new recommender service to spark scientific collaboration OpenAIRE APIs and Open Science Management at ISCTE – Instituto Universitário de Lisboa Open, interoperable  ...  covering the following: Amnesia: a flexible data anonymization tool that allows to remove identifying information from data Data2Paper Scholix Integration Enabling open science publishing for Research  ...  2018). .3 -Use cases of OpenAIRE Open Science services for different stakeholders 2| USE CASES 2.1 Matchbook: A new recommender service to spark scientific collaboration USER BASE D4How can researchers  ... 
doi:10.5281/zenodo.2575364 fatcat:wrbgftzsuzco5dzdhhz4wkgndi

Data Exploration and Validation on dense knowledge graphs for biomedical research [article]

Jens Dörpinghaus, Alexander Apke, Vanessa Lage-Rupprecht, Andreas Stefan
2019 arXiv   pre-print
Here we present a holistic approach for data exploration on dense knowledge graphs as a novel approach with a proof-of-concept in biomedical research.  ...  Knowledge graphs are increasingly becoming a vital factor in knowledge mining and discovery as they connect data using technologies from the semantic web.  ...  Dense knowledge graphs for biomedical research As a basis for building an initial knowledge graph for biomedical research we use two databases, MedLine and PubMed.  ... 
arXiv:1912.06194v1 fatcat:lwgoenue6ncabnd5abym2f7ska

Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph

Gus Hahn-Powell, Marco A. Valenzuela-Escárcega, Mihai Surdeanu
2017 Proceedings of ACL 2017, System Demonstrations  
We introduce a modular approach for literature-based discovery consisting of a machine reading and knowledge assembly component that together produce a graph of influence relations (e.g., "A promotes B  ...  Query results are substantiated with textual evidence, ranked according to their relevance, and presented in both a table-based view, as well as a network graph visualization.  ...  The authors declare a financial interest in lum.ai, which licenses the intellectual property involved in this research.  ... 
doi:10.18653/v1/p17-4018 dblp:conf/acl/Hahn-PowellVS17 fatcat:zydizkienbcedpdyunh55mqpum

Fighting COVID-19 with Artificial Intelligence

Slava Tykhonov
2021 Zenodo  
Spanish National Research Council webinar (Seminario sobre inteligencia artificial y covid-19), 20 April 2021.  ...  Data Cloud • Using the Knowledge Graph for the Machine Learning Supporting Semantic Web for Data Why Artificial Intelligence?  ...  Solution: A lot of "human in the loop" tools already developed in research projects, we need to support the best for the different use cases, add the appropriate maturity, for example, with CI/CD and introduce  ... 
doi:10.5281/zenodo.5838191 fatcat:bcy5ks2muzfr7nqbans5zri5yy

Knowledge Graph-based Recommendation Systems: The State-of-the-art and Some Future Directions

Sajisha P. S, Anoop V.S, Ansal K. A
2019 International Journal of Machine Learning and Networked Collaborative Engineering  
The authors stated that to avoid cold start problems, researchers normally use side information for building recommendation algorithms and in the proposed approach, the authors used a knowledge graph as  ...  Cyc focuses on implicit knowledge that other AI platforms may use for their operations and enhancing knowledge [7] .  ... 
doi:10.30991/ijmlnce.2019v03i03.004 fatcat:45ornhc7qzceffqffv7z4xfdd4
« Previous Showing results 1 — 15 out of 211,372 results