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Wikidata through the eyes of DBpedia

Ali Ismayilov, Dimitris Kontokostas, Sören Auer, Jens Lehmann, Sebastian Hellmann, Aidan Hogan
2018 Semantic Web Journal  
DBpedia is one of the earliest and most prominent nodes of the Linked Open Data cloud.  ...  In this paper, we present how Wikidata is incorporated in the DBpedia eco-system. Enriching DBpedia with structured information from Wikidata provides added value for a number of usage scenarios.  ...  Acknowledgements This work was funded by grants from the EU's 7th & H2020 Programmes for projects ALIGNED (GA 644055), GeoKnow (GA 318159) and HOBBIT (GA 688227).  ... 
doi:10.3233/sw-170277 fatcat:62y4yyc2abcufpqiykquifrkva

Wikidata through the Eyes of DBpedia [article]

Ali Ismayilov and Dimitris Kontokostas and Sören Auer and Jens Lehmann and Sebastian Hellmann
2015 arXiv   pre-print
DBpedia is one of the first and most prominent nodes of the Linked Open Data cloud.  ...  In this paper, we present how Wikidata is incorporated in the DBpedia ecosystem. Enriching DBpedia with structured information from Wikidata provides added value for a number of usage scenarios.  ...  Access and Sustainability This dataset will be part of the official DBpedia knowledge infrastructure and be published through the regular releases of DBpedia, along with the rest of the DBpedia language  ... 
arXiv:1507.04180v1 fatcat:7ey3jxzeqrdltbiwegcuhetyxi

Wikidata y DBpedia: viaje al centro de la web de datos

Tomás Saorín, Juan-Antonio Pastor-Sánchez
2018 Anuario ThinkEPI  
Para evitar llegar a esta conclusión, se expone el esquema comparativo del trabajo "Wikidata through the eyes of DBpedia" (Ismayilov et al., 2016) Para comprender mejor las implicaciones de la tabla  ...  Communications of the ACM, v. 57, n. 10, pp. 78-85. https://static.googleusercontent.com/media/research.  ... 
doi:10.3145/thinkepi.2018.31 fatcat:kxx7mnfcffcf3euceyb6nmk5yq

Wikidata: A platform for data integration and dissemination for the life sciences and beyond [article]

Elvira Mitraka, Andra Waagmeester, Sebastian Burgstaller-Muehlbacher, Lynn M Schriml, Andrew I Su, Benjamin M Good
2015 bioRxiv   pre-print
This unique connection to the world′s largest community of volunteer knowledge editors could help make Wikidata a key hub within the greater Semantic Web.  ...  Our group is addressing these issues by populating Wikidata with the seeds of a foundational semantic network linking genes, drugs and diseases.  ...  These additional capabilities, viewed in light of the success of the DBpedia project, portend a vital future for Wikidata in the context of the Semantic Web.  ... 
doi:10.1101/031971 fatcat:k53q5prv2vhwhf3ny22syj3lwi

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 structure of the raw data is highly complex, so converting it to meaningful insight requires data curation, integration, extraction and visualization, the global crowdsourcing of which provides both  ...  Here, we introduce four aspects of Wikidata that enable it to serve as a knowledge base for general information on the COVID-19 pandemic: its flexible data model, its multilingual features, its alignment  ...  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

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 structure of the raw data is highly complex, so converting it to meaningful insight requires data curation, integration, extraction and visualization, the global crowdsourcing of which provides both  ...  Here, we introduce four aspects of Wikidata that enable it to serve as a knowledge base for general information on the COVID-19 pandemic: its flexible data model, its multilingual features, its alignment  ...  Solutions involve cross-checking knowledge bases or subsets of the same knowledgebase [7, 18] , systematically exposing the content of Wikidata to many eyes through its reuse in Wikipedia and SPARQL-based  ... 
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 structure of the raw data is highly complex, so converting it to meaningful insight requires data curation, integration, extraction and visualization, the global crowdsourcing of which provides both  ...  Here, we introduce four aspects of Wikidata that enable it to serve as a knowledge base for general information on the COVID-19 pandemic: its flexible data model, its multilingual features, its alignment  ...  Solutions involve cross-checking knowledge bases or subsets of the same knowledgebase [102, 103] , systematically exposing the content of Wikidata to many eyes through its reuse in Wikipedia and SPARQL-based  ... 
doi:10.5281/zenodo.5544840 fatcat:udgmmiaw3fbolft6izogem66d4

Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model [article]

Carina Negreanu, Alperen Karaoglu, Jack Williams, Shuang Chen, Daniel Fabian, Andrew Gordon, Chin-Yew Lin
2022 arXiv   pre-print
We interpret the table using the knowledge base to suggest new rows and generate metadata like headers through property linking.  ...  The task divides into two steps: subject suggestion, the task of populating the main column; and gap filling, the task of populating the remaining columns.  ...  Step 1: Table Interpretation We link the data in the input table to a knowledge base (KB), such as DBpedia [1] or Wikidata [28] .  ... 
arXiv:2204.07014v1 fatcat:2n7aobqqcfhldpj5hlpbpaxw7q

From Freebase to Wikidata

Thomas Pellissier Tanon, Denny Vrandečić, Sebastian Schaffert, Thomas Steiner, Lydia Pintscher
2016 Proceedings of the 25th International Conference on World Wide Web - WWW '16  
Collaborative knowledge bases that make their data freely available in a machine-readable form are central for the data strategy of many projects and organizations.  ...  The DBpedia community is manually writing and maintaining the mapping from the DBpedia extraction process (working on Wikipedia) to the DBpedia ontology.  ...  The Primary Sources Tool is also developed with an eye on future data migrations from other sources. We created and published mappings of the Freebase dataset.  ... 
doi:10.1145/2872427.2874809 dblp:conf/www/TanonVSSP16 fatcat:opbgbuvttrarphgzjf57ingymm

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 structure of the raw data is highly complex, so converting it to meaningful insight requires data curation, integration, extraction and visualization, the global crowdsourcing of which provides both  ...  Here, we introduce four aspects of Wikidata that enable it to serve as a knowledge base for general information on the COVID-19 pandemic: its flexible data model, its multilingual features, its alignment  ...  Solutions involve cross-checking knowledge bases or subsets of the same knowledgebase [90, 91] , systematically exposing the content of Wikidata to many eyes through its reuse in Wikipedia and SPARQL-based  ... 
doi:10.5281/zenodo.4549834 fatcat:7upiyroilfcenlatngik362k5i

Enabling Open Science: Wikidata For Research

Daniel Mietchen, Gregor Hagedorn, Egon Willighagen, Mariano Rico, Asuncion Gomez-Perez, Eduard Aibar, Karima Rafes, Cécile Germain, Alastair Dunning, Lydia Pintscher, Daniel Kinzler, Anonymous
2015 Zenodo  
Wiki4R leverages the expertise gained in Europe through the Wikidata and DBpedia projects to further strengthen the established virtual community of 14000 people.  ...  Despite occasional uses of Wikipedia or Wikidata in research, significant barriers to broader adoption in the sciences or digital humanities exist, including lack of integration into existing research  ...  Management is not through access rights, but through accountability. All the data changes are tracked and patrolled by the contributors of Wikidata.  ... 
doi:10.5281/zenodo.13906 fatcat:rtk247ghhfcvdcluant523fnoi

Towards a Framework for Visual Intelligence in Service Robotics: Epistemic Requirements and Gap Analysis [article]

Agnese Chiatti, Enrico Motta, Enrico Daga
2020 arXiv   pre-print
These gaps provide the basis of a research agenda for developing more effective knowledge representations for Visual Intelligence.  ...  knowledge to make sense of their environment.  ...  is a flat horizontal surface, bottle is a container), as in the case of Probase, NELL, DBpedia and Wikidata.  ... 
arXiv:2003.06171v1 fatcat:uz3g2qgslncircongu65fr62q4

LOD Explorer: Presenting the Web of Data

Karwan Jacksi, Subhi R., Nazife Dimililer
2018 International Journal of Advanced Computer Science and Applications  
The quantity of data published on the Web according to principles of Linked Data is increasing intensely.  ...  In this paper, Semantic Web and Linked Data technologies are overviewed, challenges to the presentation of Linked Data is stated, and LOD Explorer is presented with the aim of delivering a simple application  ...  This panel can be opened by either clicking on the eye button as in Resource as a graph node, or through the search within resource results.  ... 
doi:10.14569/ijacsa.2018.090107 fatcat:g3ayzibbprcdrku7a6wofpcu2q

On measuring the lattice of commonalities among several linked datasets

Michalis Mountantonakis, Yannis Tzitzikas
2016 Proceedings of the VLDB Endowment  
We discuss the speedup obtained by the introduced indexes and algorithms through comparative results and finally we report measurements about connectivity of the LOD cloud that have never been carried  ...  semantics-aware element index (that exploits the aforementioned indexes), and finally (iv) two lattice-based incremental algorithms for speeding up the computation of the intersection of URIs of any set  ...  5: {DBpedia,Yago,Freebase,Wikidata} 1,434,404 6: {DBpedia,GADM,Freebase} 107,968 7: {DBpedia,GeoNames,Freebase} 98,985 8: {DBpedia,GADM,Wikidata} 96,968 9: {GADM,Freebase,Wikidata} 96,968 10  ... 
doi:10.14778/2994509.2994527 fatcat:frpixohfi5dcfbr4w7fl2pkjdm

On Measuring The Lattice Of Commonalities Among Several Linked Datasets

Michalis Mountantonakis, Yannis Tzitzikas
2016 Zenodo  
We discuss the speedup obtained by the introduced indexes and algorithms through comparative results and finally we report measurements about connectivity of the LOD cloud that have never been carried  ...  semantics-aware element index (that exploits the aforementioned indexes), and finally (iv) two lattice-based incremental algorithms for speeding up the computation of the intersection of URIs of any set  ...  This work has received funding from the European Unions Horizon 2020 research and innovation programme under the BlueBRIDGE project (Grant agreement No 675680).  ... 
doi:10.5281/zenodo.165139 fatcat:53flpepzjfg67bo2jlyhawpucm
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