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[null,"1.","Record Nr.",null,"UNISALENTO991002557119707536"]
[null,null,"Titolo",null,"Conto nazionale dei trasporti / Italia. Ministero dei Trasporti. Direzione Generale Programmazione Organizzazione e Coordinamento. - 1966-"]
[null,null,"Pubbl/distr/stampa",null,"Roma, 1966-"]
[null,null,"ISSN",null,"0391-5220"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Periodico"]
[null,null,null,"Note generali","Dall'anno 1978 assorbe: Compendio di statistiche sui trasporti."]
[null,"2.","Record Nr.",null,"UNINA9910493731503321"]
[null,null,"Autore",null,"Frank Matthias T"]
[null,null,"Titolo",null,"Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams"]
[null,null,"Pubbl/distr/stampa",null,"Karlsruhe, : KIT Scientific Publishing, 2021"]
[null,null,"ISBN",null,"1000128146"]
[null,null,"Descrizione fisica",null,"1 online resource (236 p.)"]
[null,null,"Soggetti",null,"Economics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity in format, syntax, and semantics. We aim to reduce the effort for such harmonization tasks by employing a knowledge-driven approach. To this end, we pursue the idea of exploiting the large body of formalized public knowledge represented as statements in Linked Open Data."]