Quality assessment and semantic representation of the module on cyberbullying

Uso del estándar ISO / IEC 25012

Authors

Keywords:

Cyberbullying, harassment, violence on the network, evaluation of open data quality, assessment of open data quality, MOCIBA, INEGI, ontologies, vocabularies

Abstract

Annually, in Mexico, the National Institute of Statistics and Geography publishes a dataset called Module on Cyberbullying (MOCIBA). The article presents the evaluation of the quality of data collected in 2021 based on the ISO/IEC 25012 standard with the aim of promoting the reuse of public information distributed as open data. A mixed methodology of search and review of the dataset, its 277 catalogs, data dictionary, questionnaire, report of main results and metadata was implemented. The results are: semantic accuracy (99%), syntactic accuracy (100%), completeness (96%), consistency (100%), credibility (100%), timeliness (100%), accessibility (100%), conformity (100%), precision (100%), comprehensibility (93%), efficiency (60%), availability (100%) and portability (100%). Subsequently, an ontology written in Spanish language is described, this formally represents the concepts and their relationships from the documents of MOCIBA 2021.

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Author Biographies

María Auxilio Medina Nieto, Postgraduate Department, Polytechnic University of Puebla, Puebla, Mexico

María Auxilio Medina Nieto is a researcher in the Postgraduate Department at the Polytechnic University of Puebla (UPPue), Puebla, Mexico. She completed her M.Sc. and Ph.D. degree from the Universidad de las Américas Puebla, Mexico in 2008. She is a member of the Researchers National System (SNI) Level 1 since 2019. Her areas of interest include ontologies, semantic web, and repositories of open data.

Eduardo López Domínguez, Computing Department, Center for Research and Advanced Studies, Mexico City, Mexico

Eduardo López Domínguez received the M.Sc. and Ph.D. degrees from the National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico. He is full-time professor-researcher in the Center for Research and Advanced Studies (CINVESTAV), in Mexico city, Mexico. Ph.D. López Domínguez is a member of the Researchers National System Level 1 (SNI). His research interests include mobile distributed systems, partial order algorithms, multimedia synchronization and health information systems.

Jorge De la Calleja Mora, Postgraduate Department, Polytechnic University of Puebla, Puebla, Mexico

Jorge de la Calleja Mora} received the M.Sc. and Ph.D. degrees from the National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico. He has been a full-time Professor with the Computer Science Department, Polytechnic University of Puebla (UPPuebla), Mexico, since 2008. Ph.D. De la Calleja is a member of the Researchers National System Level 1 (SNI), his research interests include machine learning, computer vision, and data mining with applications in medicine, education, and astronomy.

Yesenia Hernández Velázquez, Veracruz University, Xalapa, Mexico

Yesenia Hernández Velázquez is Ph.D. student at the Statistics and Informatics Faculty at the Veracruz University. She was professor-researcher in the Department of Computer Science at National Laboratory for Advanced Computing (LANIA), in Veracruz, Mexico. She completed her MSc Degree at the Autonomous University Of Puebla (BUAP), Mexico in 2011. Her areas of interest include mobile learning systems, user experience design and health information systems.

Delia Arrieta Díaz, Faculty of Economics, Accountability, and Management at the Juarez University of Durango State, Durango, Mexico

Delia Arrieta Díaz is a full-time teacher of postgraduate and bachelor's degree of the Faculty of Economics, Accountability, and Management at the Juarez University of Durango State (UJED), she coordinates the academic group called Management and Development of Organizations. She completed her Ph.D. degree in Government and Public Management, her first master's degree is on Quality of Public Management and her second master's degree is on Gestalt Therapy. Ph.D. Arrieta has a teacher certification granted for the National Association of Faculties and Schools of Accountability and Management (ANFECA), she has a higher profile recognition (PRODEP)

References

International Telecommunication Union (ITU). (2022). Statistics. [En línea]. Disponible en: http://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx

Instituto Nacional de Estadística y Geografía (INEGI). (2021). Encuesta nacional sobre disponibilidad y uso de tecnologías de la información en los hogares (INEGI-ENDUTIH). [En línea]. Disponible en: https://www.inegi.org.mx/programas/dutih/2021/.

Instituto Nacional de Estadística y Geografía (INEGI). (2021). Módulo sobre Ciberacoso MOCIBA 2021: principales resultados. [En línea]. Disponible en:

https://www.inegi.org.mx/contenidos/programas/mociba/2021/doc/mociba2021_resultados.pdf

Organisation for Economic Co-operation and Development (OECD). (2019). Measuring the digital transformation: a roadmap for the future. OECD Publishing, París. DOI: 10.1787/9789264311992-en

Gottschalk F. (2022). Cyberbullying: an overview of research and policy in OECD countries. OECD Education Working Paper No. 270. [En línea]. Disponible en: https://www.oecd-ilibrary.org/education/cyberbullying_f60b492b-en

The open data handbook. (2015). Open Knowledge (Eds). [En línea]. Disponible en: http://opendatahandbook.org/guide/en/

Vásquez V. A. (2021). Apertura y uso de datos para hacer frente al COVID-19 en América Latina. Serie Gestión Pública, No. 88 (LC/TS.2021/98), Santiago, Comisión Económica para América Latina y el Caribe (CEPAL). [En línea]. Disponible en:

https://www.cepal.org/es/publicaciones/47172-apertura-uso-datos-hacer-frente-al-covid-19-america-latina

Instituto Nacional de Estadística y Geografía (INEGI). (2021). Módulo sobre Ciberacoso MOCIBA 2021: cuestionario. [En línea]. Disponible en:

https://www.inegi.org.mx/contenidos/programas/mociba/2021/doc/mociba2021_cuestionario.pdf

Gruber R. T. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, 5, (2). pp. 199--220.

Guarino N. (1998). Formal ontology in information systems: Proceedings of the First International Conference (FOIS'98). Junio 6--8, Trento. Italia. IOS Press.

Chandrasekaran B., Josephson J. R., Benjamins V. R. (1999). What are ontologies, and why do we need them?. IEEE Intelligent Systems and their Applications, 14, (1), pp. 20--26.

Naciones Unidas. (2017). Resolución aprobada por la Asamblea General el 6 de julio de 2017: 71/313. Labor de la Comisión de Estadística en relación con la Agenda 2030 para el Desarrollo Sostenible. (A/RES/71/313).[En línea]. Disponible en: https://ggim.un.org/documents/A_Res_71_313_s.pdf

Instituto Nacional de Estadística y Geografía (INEGI). (2021). Metadatos del indicador de los ODS. 5.2.1. Centro de Excelencia UNODC-INEGI para Información Estadística de Gobierno, Seguridad Pública, Victimización y Justicia. última actualización: julio 2021. [En línea]. Disponible en: https://www.cdeunodc.inegi.org.mx/unodc/wp-content/uploads/2021/12/Metadatos-5-2-1_ES.pdf

Instituto Nacional de Estadística y Geografía (INEGI). (2021). Metadatos del indicador de los ODS. 11.7.2. Centro de Excelencia UNODC-INEGI para Información Estadística de Gobierno, Seguridad Pública, Victimización y Justicia. última actualización: 28 de noviembre de 2018. [En línea]. Disponible en: https://www.cdeunodc.inegi.org.mx/unodc/wp-content/uploads/2021/12/Metadatos-11-7-2_ES.pdf

United Nations - Global Geospatial Information Management (UN-GGIM): Europe. (2019). The territorial dimension in SDG indicators: geospatial data analysis and its integration with statistical data. Instituto Nacional de Estatística, Lisboa. [En línea]. Disponible en:

https://un-ggim-europe.org/wp-content/uploads/2019/05/UN_GGIM_08_05_2019-The-territorial-dimension-in-SDG-indicators-Final.pdf

Sadiq S., Indulska M. (2017). Open data: quality over quantity. International Journal of Information Management, 37, (3). pp. 150--154. DOI: 10.1016/j.ijinfomgt.2017.01.003.

Mitlohner J., Neumaier S., Umbrich J., Polleres A. (2016). Characteristics of open data CSV files. 2nd International Conference on Open and Big Data (OBD), Vienna, Austria. pp. 72--79. DOI:10.1109/OBD.2016.18.

Kubler S., Jérémy R., Yves L. T., Jürgen U., Neumaier S. (2016). Open data portal quality comparison using AHP. Proceedings of the 17th International Digital Government Research Conference on Digital Government Research. Shanghai, China. Association for Computing Machinery (ACM). pp. 397--407. DOI:10.1145/2912160.2912167.

Strozyna M., Eiden G., Abramowicz W., Filipiak D., Malyszko J., Wecel K. (2018). A framework for the quality-based selection and retrieval of open data - a use case from the maritime domain. Electronic Markets, 28. pp. 219--233. [En línea]. Disponible en: https://api.semanticscholar.org/CorpusID:44105410

Maestre-Gongora, G., Rangel-Castillo, A., Osorio-Sanabria, M. (2021). The value of open data government: a quality assessment approach. Revista de Investigación, Desarrollo e Innovación, 11, 3, 507-518. DOI:10.19053/20278306.v11.n3.2021.13348

Immonen A., Ovaska E., Paaso, T. (2018). Towards certified open data in digital service ecosystems. Software Qual J, 26. pp. 1257--1297. DOI:10.1007/s11219-017-9378-2

Cadena V. S. G. (2019). Marco de referencia para la publicación de datos abiertos comprensibles basado en estándares de calidad. Universidad de Alicante. Instituto Universitario de investigación en Informática. Tesis de doctorado. [En línea]. Disponible en: https://universoabierto.org/2020/02/14/marco-de-referencia-para-la-publicacion-de-datos-abiertos-comprensibles-basado-en-estandares-de-calidad/

Nayak, A., Bozic, B., Longo, L. (2022). Linked Data Quality Assessment: A Survey. In: Xu, C., Xia, Y., Zhang, Y., Zhang, LJ. (eds) Web Services - ICWS 2021. Lecture Notes in Computer Science, vol. 12994. Springer, Cham. DOI:10.1007/978-3-030-96140-4_5

Cortazar R. F. J. (2019). Acoso y hostigamiento de género en la Universidad de Guadalajara. Habla el estudiantado. La ventana. Revista de estudios de género, 6, (50). pp. 175--204. [En línea]. Disponible en: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-94362019000200175&lng=es&tlng=es

Universidad Nacional Autónoma de México (UNAM). (2023). El ciberacoso afecta a 9.7 millones de mujeres en México, según el INEGI. UNAM Global de la comunidad para la comunidad. Marzo 7 2023. [En línea]. Disponible en:

https://unamglobal.unam.mx/global_revista/el-ciberacoso-afecta-a-9-7-millones-de-mujeres-en-mexico-segun-el-inegi/

Jaimes B. O. (2023). Medición del ciberacoso en México. 13 de Julio del 2023. [En línea]. Disponible en:

https://animalpolitico.com/analisis/invitades/medicion-del-ciberacoso-en-mexico

Hernández, A. (2022). El 20.8% de mexicanos sufrió de ciberacoso en 2022: INEGI. [En línea]. Disponible en:

https://www.excelsior.com.mx/nacional/el-208-de-mexicanos-sufrio-de-ciberacoso-en-2022-inegi/1597730

Dávila R. (2023). Módulo sobre ciberacoso 2022; Journalmex. Journalmex. Periodistas de México. 13 de Julio del 2023.

[En línea]. Disponible en: http://www.journalmex.com.mx/modulo-sobre-ciberacoso-2022/

Instituto Nacional de Estadística y Geografía (INEGI). (2023). Módulo sobre ciberacoso 2022. Comunicado de prensa Núm. 404/23. 13 de Julio de 2023. Página 1/21.

[En línea]. Disponible en: https://www.inegi.org.mx/contenidos/saladeprensa/boletines/2023/MOCIBA/MOCIBA2022.pdf

Contreras A. (2022). Seis años del Módulo de Ciberacoso, ?`qué ha pasado?, ?`cómo vamos? Cultivando el género. [En línea]. Disponible en: https://cultivandogeneroac.org/2022/07/21/seis-anos-del-modulo-de-ciberacoso-que-ha-pasado-como-vamos/

Fuentes V. L. (2023). The module on cyberbullying (MOCIBA): an exploration of digital gender-based violence in Mexico. Journal of Multidisciplinary Studies in Human Rights & Science, 5 (2). DOI:10.5281/zenodo.7851521

Hijas de Internet. 2022. Chismecito Ciberfeminista I ?`Qué dicen los datos del MOCIBA sobre la violencia digital?. [En línea]. Disponible en: https://www.youtube.com/watch?v=OG-eZ59PGwM&list=PLMEcMqu0tDV-yXG5SQjKQaGuHEPsLZ5B7

Castillo-Zuñiga I., Luna-Rosas F., Muñoz-Arteaga J., López-Veyna J. (2017). Combination of techniques of big data analytics and semantic web for the detection of vocabulary of harassment school in internet. DYNA Journal Engineering, 92, (2). pp. 141--142. DOI: 10.6036/8159

Hang O.C., Dahlan H. M. (2019). Cyberbullying lexicon for social media. 6th International Conference on Research and Innovation in Information Systems (ICRIIS), Johor Bahru, Malaysia. pp. 1--6. DOI: 10.1109/ICRIIS48246.2019.9073679.

International Organization for Standardization (ISO). (2008). Software engineering - Software product Quality Requirements and Evaluation (SQuaRE) - Data quality model. (ISO/IEC 25012:2008). Disponible en: https://www.iso.org/standard/35736.html

International Organization for Standardization (ISO). (2005). ISO/IEC 25000:2005, Software Engineering - Software Product Quality Requirements and Evaluation (SQuaRE)- Guide to SQuaRE. Disponible en: https://www.iso.org/standard/35683.html

Diario Oficial de la Federación (DOF). (2014). Norma Técnica para el acceso y publicación de Datos Abiertos de la Información Estadística y Geográfica de Interés Nacional. Disponible en: https://www.dof.gob.mx/nota_detalle.php?codigo=5374183&fecha=04/12/2014#gsc.tab=0

Poveda-Villalón M., Fernández-Izquierdo A., Fernández-López M., García-Castro R. (2022). LOT: an industrial oriented ontology engineering framework. Engineering Applications of Artificial Intelligence, 111, 104755. DOI:10.1016/j.engappai.2022.104755

Fernández M., Gómez-Pérez A., Juristo N. (1997). Methontology: from ontological art towards ontological engineering. Papers from the 1997 AAAI Spring Symposium.

OWL Working Group (2009). Web Ontology Language (OWL). World Wide Web Consortium: Semantic web. Disponible en: https://www.w3.org/OWL/

Musen M. A. (2015). The Protégé project: a look back and a look forward. AI Matters, 1, (4). pp. 1007-1021. DOI: 10.1145/2557001.25757003

TRL Assessment. (2022). Guiding notes to use the TRL self assessment tool. TRL Assessment | NCP Portal management | Horizon Europe NCP Portal. European Union Horizon 2020 research and innovation. (BRIDGE2HE H2020-101005071).

[En línea]. Disponible en: https://horizoneuropencpportal.eu/store/trl-assessment

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Published

2023-12-21

How to Cite

Medina Nieto, M. A., López Domínguez, E., De la Calleja Mora, J., Hernández Velázquez, Y., & Arrieta Díaz, D. (2023). Quality assessment and semantic representation of the module on cyberbullying: Uso del estándar ISO / IEC 25012. IEEE Latin America Transactions, 22(1), 6–14. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/8314

Issue

Vol. 22 No. 1 (2024): Ordinary Issue

Section

Computing