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Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata [article]

Charlotte Rudnik and Thibault Ehrhart and Olivier Ferret and Denis Teyssou and Raphaël Troncy and Xavier Tannier
2019 arXiv   pre-print
In this paper, we propose a general method that leverages the Wikidata knowledge base to produce semantic annotations of news articles.  ...  News agencies produce thousands of multimedia stories describing events happening in the world that are either scheduled such as sports competitions, political summits and elections, or breaking events  ...  Based on this experience, Gottschalk and Demidova have developed the EventsKG knowledge graph 4 , a multilingual resource incorporating event-centric information extracted from Wikidata, DBpedia and YAGO  ... 
arXiv:1904.05557v1 fatcat:ihvmvuzhorg3bki64plfv44nsq

EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation [article]

Anthony Colas, Ali Sadeghian, Yue Wang, Daisy Zhe Wang
2021 arXiv   pre-print
It makes use of a rich ontology, all of the KGs entities are linked to the text, and our manual annotations confirm a high data quality.  ...  We also evaluate two types of baseline on EventNarrative: a graph-to-text specific model and two state-of-the-art language models, which previous work has shown to be adaptable to the knowledge graph-to-text  ...  Consequently, some Wikidata events have no Wikipedia article. After retrieving the whole text, there are 316,281 knowledge KG-text pairs.  ... 
arXiv:2111.00276v1 fatcat:asrqqlu55jcifggx6bljrrygqi

HapPenIng: Happen, Predict, Infer – Event Series Completion in a Knowledge Graph [article]

Simon Gottschalk, Elena Demidova
2019 arXiv   pre-print
We address two tasks: 1) prediction of sub-event relations, and 2) inference of real-world events that happened as a part of event series and are missing in the knowledge graph.  ...  In this paper we target the problem of event series completion in a knowledge graph.  ...  This work was partially funded by the EU Horizon 2020 under MSCA-ITN-2018 "Cleopatra" (812997), and the Federal Ministry of Education and Research, Germany (BMBF) under "Simple-ML" (01IS18054).  ... 
arXiv:1909.06219v1 fatcat:gsxrkzycpbbxlmsg4kdmojsoti

Development of Knowledge Graph for Data Management Related to Flooding Disasters Using Open Data

Jiseong Son, Chul-Su Lim, Hyoung-Seop Shim, Ji-Sun Kang
2021 Future Internet  
Among disaster domains, we describe the knowledge graph for flooding disasters using Korean open datasets and cross-domain knowledge graphs.  ...  This study proposes a knowledge graph to resolve the heterogeneity among various disaster data and provide interoperability among domains.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/fi13050124 fatcat:3dulhiljkfdvnmwtktyv6xq5ey

Using logical constraints to validate information in collaborative knowledge graphs: a study of COVID-19 on Wikidata

Houcemeddine Turki, Dariusz Jemielniak, Mohamed Ali Hadj Taieb, Jose Emilio Labra Gayo, Mohamed Ben Aouicha, Mus'ab Banat, Thomas Shafee, Eric Prud'Hommeaux, Tiago Lubiana, Diptanshu Das, Daniel Mietchen
2020 Zenodo  
We demonstrate the efficiency of our methods to evaluate structured information, particularly COVID-19 knowledge in Wikidata, and consequently in collaborative ontologies and knowledge graphs, and we show  ...  Wikidata, a collaborative and openly licensed knowledge graph available in RDF format, provides a forum for exchanging structured data.  ...  in knowledge graphs as shown in the "Knowledge graph validation of Wikidata" section.  ... 
doi:10.5281/zenodo.4445363 fatcat:fcw4fv6udfetnijrla5nx7nzum

A Knowledge Graph for Assessing Aggressive Tax Planning Strategies [article]

Niklas Lüdemann, Ageda Shiba, Nikolaos Thymianis, Nicolas Heist, Christopher Ludwig, Heiko Paulheim
2020 arXiv   pre-print
In this paper, we present a knowledge graph of multinational companies and their relationships, comprising almost 1.5M business entities.  ...  Moreover, we demonstrate that we can identify anomalies in the graph which hint at potential tax planning strategies, and we show how to enhance those analyses by incorporating information from Wikidata  ...  Using that approach, we were able to link 43,832 cities to Wikidata. 10 One basic design decision is collecting the data in one knowledge graph, vs. using SPARQL federated queries for Wikidata and Worldbank  ... 
arXiv:2008.05239v3 fatcat:zv4wzryydrdsdl43mceuoeabiq

Using logical constraints to validate information in collaborative knowledge graphs: a study of COVID-19 on Wikidata

Houcemeddine Turki, Dariusz Jemielniak, Mohamed Ali Hadj Taieb, Jose Emilio Labra Gayo, Mohamed Ben Aouicha, Mus'ab Banat, Thomas Shafee, Eric Prud'Hommeaux, Tiago Lubiana, Diptanshu Das, Daniel Mietchen
2020 Zenodo  
We demonstrate the efficiency of our methods to evaluate structured information, particularly COVID-19 knowledge in Wikidata, and consequently in collaborative ontologies and knowledge graphs, and we show  ...  Wikidata, a collaborative and openly licensed knowledge graph available in RDF format, provides a forum for exchanging structured data.  ...  Acknowledgements We thank the Wikidata community, Olivier Corby (Université Côte d'Azur, France), Odile Papini (  ... 
doi:10.5281/zenodo.4008358 fatcat:eag7bhgerrgsraeyvhtvt443bu

Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision History [article]

Lukas Schmelzeisen, Corina Dima, Steffen Staab
2021 arXiv   pre-print
To the best of our knowledge, it constitutes the first large dataset of an evolving knowledge graph, a recently emerging research subject in the Semantic Web community.  ...  In this paper, we present Wikidated 1.0, a dataset of Wikidata's full revision history, which encodes changes between Wikidata revisions as sets of deletions and additions of RDF triples.  ...  .: Building The LinkedIn Knowl- edge Graph (2016), https://engineering.linkedin.com/blog/2016/10/ building-the-linkedin-knowledge-graph 10.  ... 
arXiv:2112.05003v1 fatcat:t5jvs4qj5jb3zf7vnhchg36rv4

Representing COVID-19 information in collaborative knowledge graphs: The case of Wikidata

Houcemeddine Turki, Mohamed Ali Hadj Taieb, Thomas Shafee, Tiago Lubiana, Dariusz Jemielniak, Mohamed Ben Aouicha, Jose Emilio Labra Gayo, Eric A. Youngstrom, Mus'ab Banat, Diptanshu Das, Daniel Mietchen, on behalf of WikiProject COVID- (+1 others)
2021 Semantic Web Journal  
The rich knowledge graph created for COVID-19 in Wikidata can be visualized, explored, and analyzed for purposes like decision support as well as educational and scholarly research.  ...  Wikidata is an interdisciplinary, multilingual, open collaborative knowledge base of more than 90 million entities connected by well over a billion relationships.  ...  These properties facilitate interoperability between Wikidata and other databases and consequently the regular enrichment of Wikidata with detailed information from online ontologies and knowledge graphs  ... 
doi:10.3233/sw-210444 fatcat:ibx77yffuzb4joaczopk3ofbyu

Representing COVID-19 information in collaborative knowledge graphs: the case of Wikidata [article]

Houcemeddine Turki, Mohamed Ali Hadj Taieb, Thomas Shafee, Tiago Lubiana, Dariusz Jemielniak, Mohamed Ben Aouicha, Jose Emilio Labra Gayo, Eric A. Youngstrom, Mus'ab Banat, Diptanshu Das, Daniel Mietchen
2020 Zenodo  
The rich knowledge graph created for COVID-19 in Wikidata can be visualized, explored and analyzed for purposes like decision support as well as educational and scholarly research.  ...  Wikidata is an interdisciplinary, multilingual, open collaborative knowledge base of more than 90 million entities connected by well over a billion relationships.  ...  These properties facilitate interoperability between Wikidata and other databases and consequently the regular enrichment of Wikidata with detailed information from online ontologies and knowledge graphs  ... 
doi:10.5281/zenodo.5544840 fatcat:udgmmiaw3fbolft6izogem66d4

Representing COVID-19 information in collaborative knowledge graphs: the case of Wikidata

Houcemeddine Turki, Mohamed Ali Hadj Taieb, Thomas Shafee, Tiago Lubiana, Dariusz Jemielniak, Mohamed Ben Aouicha, Jose Emilio Labra Gayo, Eric A. Youngstrom, Mus'ab Banat, Diptanshu Das, Daniel Mietchen
2020 Zenodo  
The rich knowledge graph created for COVID-19 in Wikidata can be visualized, explored and analyzed for purposes like decision support as well as educational and scholarly research.  ...  Wikidata is an interdisciplinary, multilingual, open collaborative knowledge base of more than 90 million entities connected by well over a billion relationships.  ...  70 The source code of the SPARQL queries used in this work are also made available at https://web.archive.org/web/20200914223401/https://www.wikidat a.org/wiki/Wikidata:WikiProject_COVID-19/Queries/SPARQL_St  ... 
doi:10.5281/zenodo.4549841 fatcat:wlrvjjio2jgfjeg2wwyl74ihia

Semalytics: a semantic analytics platform for the exploration of distributed and heterogeneous cancer data in translational research

2019 Database: The Journal of Biological Databases and Curation  
Moreover, (ii) the platform links its data to a wider open knowledge base (i.e. Wikidata) to add an extended knowledge layer without the need to manage and curate those data locally.  ...  This in turn generates information that can be subsequently translated into the development of predictive biomarkers for clinical use.  ...  Building a representation of knowledge. A structured data representation is necessary to organize knowledge and describe biological features and their relationships.  ... 
doi:10.1093/database/baz080 pmid:31287543 pmcid:PMC6615453 fatcat:ho3k7dcqerfavobvwl72iigbze

Dimensions of Commonsense Knowledge [article]

Filip Ilievski, Alessandro Oltramari, Kaixin Ma, Bin Zhang, Deborah L. McGuinness, Pedro Szekely
2021 arXiv   pre-print
This consolidation allows us to unify the separate sources and to compute indications of their coverage, overlap, and gaps with respect to the knowledge dimensions.  ...  Consequently, many sources that include commonsense knowledge have been designed and constructed over the past decades.  ...  What does it mean to build a consolidated knowledge graph (KG) of resources created largely in a bottom-up fashion? How should the relations be chosen?  ... 
arXiv:2101.04640v2 fatcat:ehkp23l2cfelrm6urgmyiyyix4

Wikidata on MARS [article]

Peter F. Patel-Schneider, David Martin
2020 arXiv   pre-print
The rules of inference for the Wikidata ontology can be modelled as a MARPL ontology, with extensions to handle the Wikidata datatypes and functions over these datatypes.  ...  Because many Wikidata qualifiers should participate in most inference rules in Wikidata a method of implicitly handling qualifier values on a per-qualifier basis is needed to make this modelling useful  ...  This would indeed be a shame, as Wikidata is the best example of an open Knowledge Graph, and so it should be possible to treat the Wikidata data logically.  ... 
arXiv:2008.06599v1 fatcat:3bqnejsmtjehba5pnsd4kyz5ci

Survey on English Entity Linking on Wikidata [article]

Cedric Möller, Jens Lehmann, Ricardo Usbeck
2021 arXiv   pre-print
Wikidata is a frequently updated, community-driven, and multilingual knowledge graph.  ...  Furthermore, we show that most Entity Linking approaches use Wikidata in the same way as any other knowledge graph missing the chance to leverage Wikidata-specific characteristics to increase quality.  ...  of Education and Research (BMBF) projects and excellence clusters ML2R (FKZ 01 15 18038 A/B/C), MLwin (01S18050 D/F), ScaDS.AI (01/S18026A) as well as the Fraunhofer Zukunftsstiftung project JOSEPH.  ... 
arXiv:2112.01989v1 fatcat:mq4w5jhwmrdvxdxduppab2pfwa
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