This paper presents a methodology for creating and converting tabular data into SKOS linguistic resources using Python notebooks. Designed to support users with limited technical skills, the approach offers a structured and reproducible process through interactive notebooks. The methodology covers metadata preparation, data scraping from repositories, information mapping, and data normalization for standardized vocabulary publication. Various specialized multilingual vocabularies, including those related to textile description and smart city terminology, were analyzed to evaluate the approach. Guidelines were also developed to optimize LOD environment deployment, including resource uploading and web application configuration. The methodology supports linguistic data management as Linked Open Data, offering a platform for hosting SKOS resources and training users to create structured data efficiently. The system was tested through external user engagement, demonstrating its scientific relevance and practical utility
Methodology for Converting and Publish Tabular Data into SKOS Resources via Python Notebooks
Michele MalliaPrimo
Writing – Original Draft Preparation
;Fahad KhanSecondo
Supervision
;
2025
Abstract
This paper presents a methodology for creating and converting tabular data into SKOS linguistic resources using Python notebooks. Designed to support users with limited technical skills, the approach offers a structured and reproducible process through interactive notebooks. The methodology covers metadata preparation, data scraping from repositories, information mapping, and data normalization for standardized vocabulary publication. Various specialized multilingual vocabularies, including those related to textile description and smart city terminology, were analyzed to evaluate the approach. Guidelines were also developed to optimize LOD environment deployment, including resource uploading and web application configuration. The methodology supports linguistic data management as Linked Open Data, offering a platform for hosting SKOS resources and training users to create structured data efficiently. The system was tested through external user engagement, demonstrating its scientific relevance and practical utility| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | en |
| dc.authority.people | Michele Mallia | en |
| dc.authority.people | Fahad Khan | en |
| dc.authority.people | Silvia Calvi | en |
| dc.authority.people | Klara Dankova | en |
| dc.authority.project | IR0000029 | en |
| dc.collection.id.s | 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d | * |
| dc.collection.name | 04.01 Contributo in Atti di convegno | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.contributor.area | Non assegn | * |
| dc.contributor.area | Non assegn | * |
| dc.date.accessioned | 2026/07/08 17:21:54 | - |
| dc.date.available | 2026/07/08 17:21:54 | - |
| dc.date.firstsubmission | 2026/06/26 11:55:33 | * |
| dc.date.issued | 2025 | - |
| dc.date.submission | 2026/06/26 11:55:33 | * |
| dc.description.abstracteng | This paper presents a methodology for creating and converting tabular data into SKOS linguistic resources using Python notebooks. Designed to support users with limited technical skills, the approach offers a structured and reproducible process through interactive notebooks. The methodology covers metadata preparation, data scraping from repositories, information mapping, and data normalization for standardized vocabulary publication. Various specialized multilingual vocabularies, including those related to textile description and smart city terminology, were analyzed to evaluate the approach. Guidelines were also developed to optimize LOD environment deployment, including resource uploading and web application configuration. The methodology supports linguistic data management as Linked Open Data, offering a platform for hosting SKOS resources and training users to create structured data efficiently. The system was tested through external user engagement, demonstrating its scientific relevance and practical utility | - |
| dc.description.allpeople | Mallia, Michele; Khan, Fahad; Calvi, Silvia; Dankova, Klara | - |
| dc.description.allpeopleoriginal | Michele Mallia; Fahad Khan; Silvia Calvi; Klara Dankova; | en |
| dc.description.fulltext | open | en |
| dc.description.numberofauthors | 4 | - |
| dc.identifier.doi | 10.5281/zenodo.17357825 | en |
| dc.identifier.source | manual | * |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/588421 | - |
| dc.language.iso | eng | en |
| dc.relation.allauthors | Michele Mallia; Anas Fahad Khan; Silvia Calvi; Klara Dankova | en |
| dc.relation.ispartofbook | CLARIN Annual Conference Proceedings | en |
| dc.relation.projectAcronym | H2IOSC | en |
| dc.relation.projectAwardNumber | B63C22000730005 | en |
| dc.relation.projectAwardTitle | Humanities and cultural Heritage Italian Open Science Cloud | en |
| dc.relation.projectFunderName | European Union | en |
| dc.relation.projectFundingStream | NextGenerationEU – National Recovery and Resilience Plan (NRRP) – Mission 4 “Education and Research” Component 2 “From research to business” Investment 3.1 “Fund for the realization of an integrated system of research and innovation infrastructures” Action 3.1.1 “Creation of new research infrastructures strengthening of existing ones and their networking for Scientific Excellence under Horizon Europe” | en |
| dc.subject.keywordseng | Semantic Artifacts, Linguistic Linked Open Data, SKOS, Conceptual Resources | - |
| dc.subject.singlekeyword | Semantic Artifacts | * |
| dc.subject.singlekeyword | Linguistic Linked Open Data | * |
| dc.subject.singlekeyword | SKOS | * |
| dc.subject.singlekeyword | Conceptual Resources | * |
| dc.title | Methodology for Converting and Publish Tabular Data into SKOS Resources via Python Notebooks | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 04 Contributo in convegno::04.01 Contributo in Atti di convegno | it |
| dc.type.miur | 273 | - |
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| Appare nelle tipologie: | 04.01 Contributo in Atti di convegno | |
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