DOLCE: A descriptive ontology for linguistic and cognitive engineering1

التفاصيل البيبلوغرافية
العنوان: DOLCE: A descriptive ontology for linguistic and cognitive engineering1
المؤلفون: Claudio Masolo, Daniele Porello, Laure Vieu, Nicola Guarino, Aldo Gangemi, Roberta Ferrario, Stefano Borgo, Emilio M. Sanfilippo
المصدر: Applied Ontology. 17:45-69
بيانات النشر: IOS Press, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Linguistics and Language, General Computer Science, Computer science, Cognition, Ontology (information science), Language and Linguistics, Linguistics
الوصف: dolce, the first top-level (foundational) ontology to be axiomatized, has remained stable for twenty years and today is broadly used in a variety of domains. dolce is inspired by cognitive and linguistic considerations and aims to model a commonsense view of reality, like the one human beings exploit in everyday life in areas as diverse as socio-technical systems, manufacturing, financial transactions and cultural heritage. dolce clearly lists the ontological choices it is based upon, relies on philosophical principles, is richly formalized, and is built according to well-established ontological methodologies, e.g. OntoClean. Because of these features, it has inspired most of the existing top-level ontologies and has been used to develop or improve standards and public domain resources (e.g. CIDOC CRM, DBpedia and WordNet). Being a foundational ontology, dolce is not directly concerned with domain knowledge. Its purpose is to provide the general categories and relations needed to give a coherent view of reality, to integrate domain knowledge, and to mediate across domains. In these 20 years dolce has shown that applied ontologies can be stable and that interoperability across reference and domain ontologies is a reality. This paper briefly introduces the ontology and shows how to use it on a few modeling cases.
تدمد: 1875-8533
1570-5838
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::aa0cdb71123ac23db683b0d60d25d627
https://doi.org/10.3233/ao-210259
رقم الأكسشن: edsair.doi...........aa0cdb71123ac23db683b0d60d25d627
قاعدة البيانات: OpenAIRE