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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/264514983a7ce119c7af95f4dd434b399/diglezakis",         
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         "label" : "Harmonizing GCW Cryosphere Vocabularies with ENVO and SWEET. Towards a General Model for Semantic Harmonization",
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         "description" : "Harmonizing GCW Cryosphere Vocabularies with ENVO and SWEET. Towards a General Model for Semantic Harmonization | Data Science Journal",
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         "url": "http://dx.doi.org/10.5334/dsj-2024-026", 
         
         "author": [ 
            "Ruth Duerr","Pier Luigi Buttigieg","Gary Berg Cross","Kai Lewis Blumberg","Brandon Whitehead","Nancy Wiegand","Kate Rose"
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            	{"first" : "Ruth",	"last" : "Duerr"},
            	{"first" : "Pier Luigi",	"last" : "Buttigieg"},
            	{"first" : "Gary Berg",	"last" : "Cross"},
            	{"first" : "Kai Lewis",	"last" : "Blumberg"},
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            	{"first" : "Nancy",	"last" : "Wiegand"},
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         "label" : "Semantic Data Integration and Querying: A Survey and Challenges",
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         "description" : "Semantic Data Integration and Querying: A Survey and Challenges | ACM Computing Surveys",
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         "year": "2024", 
         "url": "https://doi.org/10.1145/3653317", 
         
         "author": [ 
            "Maroua Masmoudi","Sana Ben Abdallah Ben Lamine","Mohamed Hedi Karray","Bernard Archimede","Hajer Baazaoui Zghal"
         ],
         "authors": [
         	
            	{"first" : "Maroua",	"last" : "Masmoudi"},
            	{"first" : "Sana",	"last" : "Ben Abdallah Ben Lamine"},
            	{"first" : "Mohamed Hedi",	"last" : "Karray"},
            	{"first" : "Bernard",	"last" : "Archimede"},
            	{"first" : "Hajer",	"last" : "Baazaoui Zghal"}
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         "volume": "56","number": "8","pages": "1\u201335","abstract": "Digital revolution produces massive, heterogeneous and isolated data. These latter remain underutilized, unsuitable for integrated querying and knowledge discovering. Hence the importance of this survey on data integration which identifies challenging issues and trends. First, an overview of the different generations and basics of data integration is given. Then, semantic data integration is focused, since it semantically links data allowing wider insights and decision-making. More than thirty works are reviewed. The goal is to help analysts to identify relevant criteria to compare then choose among semantic data integration approaches, focusing on the category (materialized, virtual or hybrid) and querying techniques.",
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         "issn" : "0360-0300",
         
         "issue_date" : "August 2024",
         
         "doi" : "10.1145/3653317",
         
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