Observing LOD: Its Knowledge Domains and the Varying Behavior of Ontologies Across Them

Autor: Luigi Asprino, Valentina Presutti

Publikováno v: IEEE Access, Vol 11, Pp 21127-21143 (2023)

Linked Open Data (LOD) is the largest, collaborative, distributed, and publicly-accessible Knowledge Graph (KG) uniformly encoded in the Resource Description Framework (RDF) and formally represented according to the semantics of the Web Ontology Lang

Externí odkaz: https://doaj.org/article/0e0800b4356c4022a6b5599a6f576025

Integrating Citizen Experiences in Cultural Heritage Archives: Requirements, State of the Art, and Challenges

Autor: Enrico Daga, Luigi Asprino, Rossana Damiano, Marilena Daquino, Belen Diaz Agudo, Aldo Gangemi, Tsvi Kuflik, Antonio Lieto, Mark Maguire, Anna Maria Marras, Delfina Martinez Pandiani, Paul Mulholland, Silvio Peroni, Sofia Pescarin, Alan Wecker

Publikováno v: Journal on computing and cultural heritage (Online) 37 (2022): 1–36. doi:10.1145/3477599
info:cnr-pdr/source/autori:Daga E.; Astrino L.; Damiano R.; D'Aquino M.; Diaz Agudo B.; Gangemi A.; Kuflik T.; Lieto A.; Maguire M.; Marras A.M.; Martinez Pandiani D.; Mulholland P.; Peroni S.; Pescarin S.; Wecker A./titolo:Integrating citizen experiences in cultural heritage archives: requirements, state of the art, and challenges/doi:10.1145%2F3477599/rivista:Journal on computing and cultural heritage (Online)/anno:2022/pagina_da:1/pagina_a:36/intervallo_pagine:1–36/volume:37

Digital archives of memory institutions are typically concerned with the cataloguing of artefacts of artistic, historical, and cultural value. Recently, new forms of citizen participation in cultural heritage have emerged, producing a wealth of mater

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::715ce7e3e23e19b952f705af662b7385
http://oro.open.ac.uk/81791/1/Integrating_citizen_experiences_in_cultural_heritage_archives__requirements__state_of_the_art__and_challenges__JOCCH_Submission_-6.pdf

Extraction of common conceptual components from multiple ontologies

Autor: Valentina Presutti, Luigi Asprino, Valentina Anita Carriero

Publikováno v: K-CAP
Proceedings of the 11th on Knowledge Capture Conference

Understanding large ontologies is still an issue, and has an impact on many ontology engineering tasks. We describe a novel method for identifying and extracting conceptual components from domain ontologies, which are used to understand and compare t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f28e893e7486f492e30a670b9ea7e43

Engineering Background Knowledge for Social Robots

Autor: Luigi Asprino

Publikováno v: Studies on the Semantic Web ISBN: 9781643681085

Social robots are embodied agents that perform knowledge-intensive tasks involving several kinds of information from different heterogeneous sources. This book, Engineering Background Knowledge for Social Robots, introduces a component-based architec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9896deebe08ee40364990295cb3b2bc
http://hdl.handle.net/11585/809004

Empirical analysis of foundational distinctions in linked open data

Autor: Paolo Ciancarini, Valentina Presutti, Valerio Basile, Luigi Asprino

Publikováno v: IJCAI
Scopus-Elsevier

The Web and its Semantic extension (i.e. Linked Open Data) contain open global-scale knowledge and make it available to potentially intelligent machines that want to benefit from it. Nevertheless, most of Linked Open Data lack ontological distinction

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f8c39a509da4be38bdb8a4cb89c60fa
http://hdl.handle.net/11585/664100