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SKG4EOSC - Scholarly Knowledge Graphs for EOSC: Establishing a backbone of knowledge graphs for FAIR Scholarly Information in EOSC
2022
Research Ideas and Outcomes
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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 ...
The key objective of SKG4EOSC is to improve science productivity through development and implementation of services for text and data conversion, and production, curation, and re-use of FAIR scholarly ...
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
Requirements Analysis for an Open Research Knowledge Graph
[article]
2020
arXiv
pre-print
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Recently, several initiatives have proposed knowledge graphs (KGs) for organising scientific information as a solution to many of the current issues. ...
In this paper, we aim to transcend this limited perspective by presenting a comprehensive analysis of requirements for an Open Research Knowledge Graph (ORKG) by (a) collecting daily core tasks of a scientist ...
However, semantic search engines employ latent representations of KGs and text (e.g. graph and word embeddings) [6] . ...
arXiv:2005.10334v1
fatcat:v267cmxzefhfvcqgo5qwuu5ihq
Universal Digital Twin - A Dynamic Knowledge Graph
2021
Data-Centric Engineering
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The dynamic knowledge graph is implemented using technologies from the Semantic Web. ...
It is composed of concepts and instances that are defined using ontologies, and of computational agents that operate on both the concepts and instances to update the dynamic knowledge graph. ...
The World Avatar dynamic knowledge graph is composed of Linked Data and an ecosystem of computational agents operating on the knowledge graph. ...
doi:10.1017/dce.2021.10
fatcat:3p4lotn43ndardrgjf2nhdfdni
Knowledge Graph Management Platforms: A Feature Based Review
[chapter]
2021
Annual Proceedings of the Science & Technology Metrics
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The purpose of this study is to identify and review the existing knowledge graph (KG) management platforms (KGMP) based on a comprehensive set of features to help KG managers, KG researchers, data scientists ...
The platforms use standard semantic technologies; for instance, for data representation uses RDF data model; for providing access to data SPARQL endpoint, GraphQL endpoint and for querying data languages ...
KG creation), knowledge hosting (deals proper KR with semantically enriched data), knowledge curation (deals with assessment, cleaning and enrichment of KG), and knowledge deployment (deals with publishing ...
doi:10.6025/stm/2021/3/115-137
fatcat:qimnnk7q6be7pc52er6qspdcai
ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph
2021
Research Ideas and Outcomes
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This document is an edited version of the original funding proposal entitled 'ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph' that was submitted to the European ...
The proposal was evaluated by five reviewers and has been placed after the evaluations on the reserve list. The main document of the original proposal did not contain an abstract. ...
Result: Library of semantic templates for research question and contribution descriptions. ...
doi:10.3897/rio.7.e68513
fatcat:uq44nrzqubdjrgioxjckpp7kgy
Visualizing large knowledge graphs: A performance analysis
2018
Future generations computer systems
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Currently, Semantic Web technologies are prevalent for modelling and querying knowledge graphs; however, most visualization approaches in this area tend to be overly simplified and targeted to small-sized ...
In this work, we describe and evaluate the performance of a Big Data architecture applied to large-scale knowledge graph visualization. ...
For the purpose of this paper, we will assume Linked Data and Semantic Web ontologies as the most recent incarnation of knowledge graphs. ...
doi:10.1016/j.future.2018.06.015
fatcat:722ah2osgrcqbhitja45wqfuei
Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web (Dagstuhl Seminar 18371)
2019
Dagstuhl Reports
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This report documents the program and the outcomes of Dagstuhl Seminar 18371 "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web", where a group of experts from academia ...
The emerging, but still to be concretely shaped concept of "Knowledge Graphs" provides an excellent unifying metaphor for this current status of Semantic Web research. ...
Acknowledgements The editors are grateful to Michael Cochez for his valuable contributions to the planning and organization of this workshop. He was in all respects the fifth organizer. ...
doi:10.4230/dagrep.8.9.29
dblp:journals/dagstuhl-reports/BonattiDPP18
fatcat:z4lkmofnavf67c5v2sye2x2zle
Semantic Knowledge Graphs for the News: A Review
2022
ACM Computing Surveys
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This paper reviews the research on using semantic knowledge graphs for production, distribution, and consumption of news. ...
Semantic knowledge graphs (KGs) is an established technique for integrating such heterogeneous information. ...
ACKNOWLEDGMENTS
CONFLICT OF INTEREST The authors are themselves involved in the News Angler project reported in [M46].
MAIN PAPERS ...
doi:10.1145/3543508
fatcat:l4lwafoyuncdpmc4qhj3xxekwa
ViewpointS: capturing formal data and informal contributions into an adaptive knowledge graph
2017
International Journal of Knowledge and Learning
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We propose a brain-inspired knowledge representation approach called ViewpointS where formal data and informal contributions are merged into an adaptive knowledge graph which is then topologically, rather ...
than logically, explored and assessed. ...
Acknowledgements This work was supported in part by the French National Research Agency under JCJC program, grant ANR-12-JS02-01001, as well as by University of Montpellier, CNRS and Cirad. ...
doi:10.1504/ijkl.2017.10012219
fatcat:4yepwrop6jca7beofvpnrgxapq
Research on Construction of Knowledge Graph of Intestinal Cells
2020
Journal of Artificial Intelligence for Medical Sciences
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Conceptual layer design defines data model of knowledge graph. ...
At present, knowledge graph of intestinal cells has not been studied. ...
AUTHOR CONTRIBUTIONS All authors have made significant contributions to the manuscript including its conception and design, the analysis of the data and the writing of the manuscript. ...
doi:10.2991/jaims.d.200902.001
fatcat:qrg7eu3btnabfkps2mro7kwqie
ViewpointS: capturing formal data and informal contributions into an adaptive knowledge graph
2018
International Journal of Knowledge and Learning
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We propose a brain-inspired knowledge representation approach called ViewpointS where formal data and informal contributions are merged into an adaptive knowledge graph which is then topologically, rather ...
than logically, explored and assessed. ...
Acknowledgements This work was supported in part by the French National Research Agency under JCJC program, grant ANR-12-JS02-01001, as well as by University of Montpellier, CNRS and Cirad. ...
doi:10.1504/ijkl.2018.092047
fatcat:kqbxlexu5raa3fprcueoxqajja
Virtual Knowledge Graphs: An Overview of Systems and Use Cases
2019
Data Intelligence
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In this paper, we present the virtual knowledge graph (VKG) paradigm for data integration and access, also known in the literature as Ontology-based Data Access. ...
We explain the main notions of this paradigm, its tooling ecosystem and significant use cases in a wide range of applications. Finally, we discuss future research directions. ...
of Research and Innovation portal [55] . ...
doi:10.1162/dint_a_00011
fatcat:dogtoffhbncx7lxxagytwlxz2u
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges
[article]
2022
arXiv
pre-print
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We discuss existing KGC approaches, including the state-of-the-art Knowledge Graph Embeddings (KGE), not only on static graphs but also for the latest trends such as multimodal, temporal, and uncertain ...
This study intends to provide an overview of knowledge bases combined with different challenges and their impacts. ...
Knowledge graph is a graph-based data representation modality consisting of binary relationships and labeled edges. ...
arXiv:2205.09088v1
fatcat:c4gfzg4ldras3axpf5wvbldstm
Design of the technical services for knowledge graph management
2021
Zenodo
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This deliverable contains the description of the design of WHOW technical architecture to be deployed at each data provider. ...
A semantic knowledge graph is usually represented in RDF, thus allowing for the sharing of a fluent representation of various types of data and content. ...
The ultimate goal is fostering the creation of innovative applications, services and studies on top of the WHOW knowledge graph. ...
doi:10.5281/zenodo.6685696
fatcat:zrtskfggazbrtgvro6frj6dejm
Managing Knowledge in Energy Data Spaces
[article]
2021
arXiv
pre-print
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Other Versions
2021
Companion Proceedings of the Web Conference 2021
unpublished
doi:10.1145/3442442.3453541 fatcat:snqusv5ifnappisj2o6cs5ciwq
doi:10.1145/3442442.3453541 fatcat:snqusv5ifnappisj2o6cs5ciwq
We also evaluate the use of Energy Data Ecosystems (EDEs) as data-driven infrastructures to overcome the current limitations of fragmented energy applications. ...
The reference architecture model consists of four architectures related to business, security, data and service, and software aspects. ...
Lastly, RDF knowledge graph will feed the Semantic based analytics engine SANSA [17] to perform tasks of knowledge discovery and prediction. ...
arXiv:2107.01965v1
fatcat:yvrch75nrjb3nayt3uu2hnj3zy
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