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5 results on '"YARRRML"'

1. Human-Friendly RDF Graph Construction: Which One Do You Chose?

Author

Iglesias-Molina, Ana, Chaves-Fraga, David, Dasoulas, Ioannis, Dimou, Anastasia, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Garrigós, Irene, editor, Murillo Rodríguez, Juan Manuel, editor, and Wimmer, Manuel, editor

Published
2023
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2. SAD Generator: Eating Our Own Dog Food to Generate KGs and Websites for Academic Events

Author

Heyvaert, Pieter, Chaves-Fraga, David, Priyatna, Freddy, Sequeda, Juan, Dimou, Anastasia, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hitzler, Pascal, editor, Kirrane, Sabrina, editor, Hartig, Olaf, editor, de Boer, Victor, editor, Vidal, Maria-Esther, editor, Maleshkova, Maria, editor, Schlobach, Stefan, editor, Hammar, Karl, editor, Lasierra, Nelia, editor, Stadtmüller, Steffen, editor, Hose, Katja, editor, and Verborgh, Ruben, editor

Published
2019
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3. ShExML: improving the usability of heterogeneous data mapping languages for first-time users

Author

Iovka Boneva, Juan Manuel Cueva Lovelle, Sławek Staworko, Herminio García-González, José Emilio Labra Gayo, Universidad de Oviedo [Oviedo], Linking Dynamic Data (LINKS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), This work has been funded by the Principality of Asturias through the Severo Ochoa call (grant BP17-29), by the Ministry of Economy, Industry and Competitiveness under the call of ‘‘Programa Estatal de I+D+i Orientada a los Retos de la Sociedad’’ (project TIN2017-88877-R), the CPER Nord-Pas de Calais/FEDER DATA Advanced data science and technologies 2015–2020, and the ANR project DataCert ANR-15-CE39-0009. There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript., ANR-15-CE39-0009,DataCert,Spécification intensive en Coq d'intégration de données orientée sécurité(2015), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Inria Lille - Nord Europe, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

Subjects
General Computer Science, Computer science, Usability, 02 engineering and technology, computer.software_genre, 01 natural sciences, Field (computer science), World Wide Web and Web Science, SPARQL-Generate, Artificial Intelligence, Human–computer interaction, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Representation (mathematics), [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], business.industry, ShExML, 010401 analytical chemistry, 0104 chemical sciences, Data mapping, Human-Computer Interaction, YARRRML, Programming Languages, Data integration, business, computer
Abstract

Integration of heterogeneous data sources in a single representation is an active field with many different tools and techniques. In the case of text-based approaches—those that base the definition of the mappings and the integration on a DSL—there is a lack of usability studies. In this work we have conducted a usability experiment (n = 17) on three different languages: ShExML (our own language), YARRRML and SPARQL-Generate. Results show that ShExML users tend to perform better than those of YARRRML and SPARQL-Generate. This study sheds light on usability aspects of these languages design and remarks some aspects of improvement.

Published
2020

4. SAD Generator: Eating Our Own Dog Food to Generate KGs and Websites for Academic Events

Author

Anastasia Dimou, Freddy Priyatna, Juan F. Sequeda, Pieter Heyvaert, David Chaves-Fraga, Hitzler, P, Kirrane, S, Hartig, O, De Boer, V, Vidal, ME, Maleshkova, M, Schlobach, S, Hammar, K, Lasierra, N, Stadtmuller, S, Hose, K, and Verborgh, R

Subjects
Technology and Engineering, Web development, Computer science, 02 engineering and technology, SPARQL, 01 natural sciences, RDF, World Wide Web, 0202 electrical engineering, electronic engineering, information engineering, Dissemination, Semantic Web, GraphQL, Generator (computer programming), Event (computing), business.industry, 010401 analytical chemistry, 020207 software engineering, computer.file_format, RML, 0104 chemical sciences, YARRRML, Publishing, business, computer
Abstract

Nowadays, a website is used to disseminate information about an event (e.g., location, dates, time). In the academic world, it is common to develop a website for an event, such as workshops or conferences. Aligning with the “Web of data”, its dissemination should also happen by publishing the information of the event as a knowledge graph, e.g., via RDF that is available through a SPARQL endpoint or a Triple Patterns Fragment server. However, the RDF generation and website development is not always straightforward and can be time-consuming. In this demo, we present the Semantic Academic-event Dissemination (SAD) Generator for generating RDF and websites for academic events. The generator allows to (i) annotate CSV files that contain academic event data and use the annotations to generate a knowledge graph and (ii) generate a website with the information for the event querying the knowledge graph. We used our generator to generate the RDF and website of a real workshop, the KGB workshop. It can be easily reused by organizers of other academic events by simply providing the event’s information in CSV files.

Published
2019

5. ShExML: improving the usability of heterogeneous data mapping languages for first-time users.

Author

García-González H, Boneva I, Staworko S, Labra-Gayo JE, and Cueva Lovelle JM

Abstract

Integration of heterogeneous data sources in a single representation is an active field with many different tools and techniques. In the case of text-based approaches-those that base the definition of the mappings and the integration on a DSL-there is a lack of usability studies. In this work we have conducted a usability experiment ( n  = 17) on three different languages: ShExML (our own language), YARRRML and SPARQL-Generate. Results show that ShExML users tend to perform better than those of YARRRML and SPARQL-Generate. This study sheds light on usability aspects of these languages design and remarks some aspects of improvement., Competing Interests: The authors declare there are no competing interests., (©2020 García-González et al.)

Published
2020
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