Descriptive Semantic Model for Structured Texts
Abstract
DeSMòS: Descriptive Semantic Model for Structured texts DeSMòS is an OWL ontology designed to represent literary constraints as generative engines that drive the writing process and determine the genesis of specific textual forms. DeSMòS is aligned to international standards crm: http://www.cidoc-crm.org/cidoc-crm/ lrmoo: http://iflastandards.info/ns/lrm/lrmoo/ skos: http://www.w3.org/2004/02/skos/core# prov: http://www.w3.org/ns/prov# dct: http://purl.org/dc/terms/ Repository Structure /data: case-study dataset (CSV and Turtle)./img: graphical documentation of the formal model./ontology: desmos.ttl (Turtle) and desmos.owl (RDF/XML) source files./OOPSevalutation: reports from OOPS! (OntOlogy Pitfall Scanner!) and consistency checks./SPARQL: SPARQL queries used for functional validation and testing competency questions. Author: Anonymous (Under review) Version: 1.0.1 | License: CC BY 4.0 ----- DeSMòS: Descriptive Semantic Model for Structured texts DeSMòS è un’ontologia OWL progettata per rappresentare le costrizioni letterarie come motori generativi che guidano il processo di scrittura e determinano la genesi di specifiche forme testuali. DeSMòS è allineata a standard internazionali crm: http://www.cidoc-crm.org/cidoc-crm/ lrmoo: http://iflastandards.info/ns/lrm/lrmoo/ skos: http://www.w3.org/2004/02/skos/core# prov: http://www.w3.org/ns/prov# dct: http://purl.org/dc/terms/ Struttura del repository /data: dataset del caso di studio (CSV e Turtle)./img: documentazione grafica del modello formale./ontology: contiene i file sorgente desmos.ttl (Turtle) e desmos.owl (RDF/XML)./OOPSevalutation: report di OOPS! (OntOlogy Pitfall Scanner!) e verifiche di consistenza./SPARQL: query SPARQL utilizzate per la validazione funzionale e per testare le domande di competenza. Autore: Anonimo (in revisione)Versione: 1.0.1 | Licenza: CC BY 4.0
Fields of Study & Subjects
Semantic Web and Ontologies
Digital Humanities and Scholarship
Library Science and Information Systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 February 2026
- Document type
- Dataset