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[null,"1.","Record Nr.",null,"UNIORUON00193025"]
[null,null,"Autore",null,"SEDGWICK, Eve Kosofsky"]
[null,null,"Titolo",null,"Tendencies / Eve Kosofsky Sedgwick"]
[null,null,"Pubbl/distr/stampa",null,"London, : Routledge, 1994. xvi, 280 p. ; 24 cm. -"]
[null,null,"ISBN",null,"04-15-10815-2"]
[null,null,"Disciplina",null,"306.7"]
[null,null,"Soggetti",null,"OMOSESSUALITA'"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910983035003321"]
[null,null,"Autore",null,"Demartini Gianluca"]
[null,null,"Titolo",null,"The Semantic Web – ISWC 2024 : 23rd International Semantic Web Conference, Baltimore, MD, USA, November 11–15, 2024, Proceedings, Part III / / edited by Gianluca Demartini, Katja Hose, Maribel Acosta, Matteo Palmonari, Gong Cheng, Hala Skaf-Molli, Nicolas Ferranti, Daniel Hernández, Aidan Hogan"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"9783031778476"]
[{"$nulls":4},"3031778472"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (370 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 15233"]
[null,null,"Disciplina",null,"005.74"]
[null,null,"Soggetti",null,"Database management"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Data structures (Computer science)"]
[{"$nulls":4},"Information theory"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Theory of Computation"]
[{"$nulls":4},"Data Structures and Information Theory"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Resource Track.  -- SparkKG-ML: A Library to Facilitate end–to–end Large–scale Machine Learning over Knowledge Graphs in Python.  -- KROWN: A Benchmark for RDF Graph Materialisation.  -- KGHeartBeat: a Knowledge Graph Quality Assessment Tool.  -- InstructIE: A Bilingual Instruction-based Information Extraction Dataset.  -- Diachronical geometry without polygons: the extended HHT ontology for heterogeneous geometrical representations.  -- CimpleKG: A Continuously Updated Knowledge Graph on Misinformation, Factors and Fact-Checks.  -- AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning.  -- SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles.  -- The ICS-"]
[{"$nulls":4},"SEC KG: An Integrated Cybersecurity Resource for Industrial Control Systems.  -- Data Privacy Vocabulary (DPV) – Version 2.0.  -- In-Use Track.  -- Developing Application Profiles for Enhancing Data and Workflows in Cultural Heritage Digitisation Processes.  -- Intelligent Urban Traffic Management via Semantic Interoperability across Multiple Heterogeneous Mobility Data Sources.  -- Quality in Color: Using Knowledge Graphs for Enhanced Quality Control in an Automotive Paintshop.  -- UFEL: a By-design Understandable and Frugal Entity Linking System for French Microposts.  -- Leveraging Knowledge Graphs for Earth System Dataset Discovery.  -- Semantic and technically interoperable data exchange in the Flanders Smart Data Space.  -- Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data.  -- Increasing the Accuracy of LLM Question-Answering Systems on SQL Databases with Ontologies."]
[null,null,null,"Sommario/riassunto","Chapters 10 and 11 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com."]