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         "pluralLabel" : "Publications"
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   "items" : [
   	  
	  {  
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         "id"   : "https://puma.ub.uni-stuttgart.de/url/6e2dd0b2c35898b2701f150be0e07ab2/diglezakis",
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            "mapping","forschungsdaten","standards","metadata","interoperability"
         ],
         
         "intraHash" : "6e2dd0b2c35898b2701f150be0e07ab2",
         "label" : "Overview - A Simple Standard for Sharing Ontology Mappings (SSSOM)",
         "user" : "diglezakis",
         "description" : "",
         "date" : "2024-01-24 12:24:15",
         "changeDate" : "2024-01-24 12:24:15",
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         "url" : "https://mapping-commons.github.io/sssom/spec/"

      }
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         "id"   : "https://puma.ub.uni-stuttgart.de/url/4349bb508cc6abb435d551601ce1914b/diglezakis",
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            "mapping","forschungsdaten","metadata","semanticWeb"
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         "label" : "About SSSOM - A Simple Standard for Sharing Ontology Mappings (SSSOM)",
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         "label" : "RDF Mapping Language (RML)",
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         "description" : "This document describes RML, a generic mapping language, based on and extending [R2RML]. The RDF Mapping language (RML) is a mapping language defined to express customized mapping rules from heterogeneous data structures and serializations to the RDF [RDF-CONCEPTS] data model. RML is defined as a superset of the W3C-standardized mapping language [R2RML], aiming to extend its applicability and broaden its scope, adding support for data in other structured formats. [R2RML] is the W3C standard to express customized mappings from relational databases to RDF. RML follows exactly the same syntax as R2RML; therefore, RML mappings are themselves RDF graphs. The present document describes the RML language and its concepts through definitions and examples.",
         "date" : "2021-09-28 10:30:46",
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         "count" : 1,
         "url" : "https://rml.io/specs/rml/"

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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2eb5a5968813b7d0477b73f04b7946236/diglezakis",         
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         "label" : "DataCite Metadata Schema 4.4 to Schema.org Mapping",
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         "pub-type": "misc",
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         "year": "2023", 
         "url": "https://doi.org/10.5281/zenodo.7661399", 
         
         "author": [ 
            "Kelly Stathis","Cody Ross","Britta Dreyer","Paul Vierkant"
         ],
         "authors": [
         	
            	{"first" : "Kelly",	"last" : "Stathis"},
            	{"first" : "Cody",	"last" : "Ross"},
            	{"first" : "Britta",	"last" : "Dreyer"},
            	{"first" : "Paul",	"last" : "Vierkant"}
         ],
         
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            " DataCite"
         ],
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            	{"first" : "",	"last" : "DataCite"}
         ],
         
         "version" : "1.0",
         
         "doi" : "10.5281/zenodo.7661399",
         
         "bibtexKey": "stathis_2023_7661399"

      }
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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/242b34196f3f78325a453848231b00dff/diglezakis",         
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            "mapping","forschungsdaten","crosswalk","metadata","schemaOrg","ontologie","datacite","dcat"
         ],
         
         "intraHash" : "42b34196f3f78325a453848231b00dff",
         "interHash" : "b870833c832a720b6d72b9bc028abf23",
         "label" : "An Analysis of Crosswalks from Research Data Schemas to Schema.org",
         "user" : "diglezakis",
         "description" : "",
         "date" : "2024-12-13 13:34:00",
         "changeDate" : "2024-12-13 13:34:00",
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         "pub-type": "article",
         "journal": "Data Intelligence",
         "year": "2023", 
         "url": "https://doi.org/10.1162/dint\\_a\\_00186", 
         
         "author": [ 
            "Mingfang Wu","Stephen M. Richard","Chantelle Verhey","Leyla Jael Castro","Baptiste Cecconi","Nick Juty"
         ],
         "authors": [
         	
            	{"first" : "Mingfang",	"last" : "Wu"},
            	{"first" : "Stephen M.",	"last" : "Richard"},
            	{"first" : "Chantelle",	"last" : "Verhey"},
            	{"first" : "Leyla Jael",	"last" : "Castro"},
            	{"first" : "Baptiste",	"last" : "Cecconi"},
            	{"first" : "Nick",	"last" : "Juty"}
         ],
         "volume": "5","number": "1","pages": "100-121","abstract": "The increased number of data repositories has greatly increased the availability of open data. To enable broad discovery and access to research dataset, some data repositories have begun leveraging the web architecture by embedding structured metadata markup in dataset web landing pages using vocabularies from Schema.org and extensions. This paper aims to examine metadata interoperability for supporting global data discovery. Specifically, the paper reports a survey on which metadata schema has been adopted by participating data repositories, and presents an analysis of crosswalks from fourteen research data schemas to Schema.org. The analysis indicates most descriptive metadata are interoperable among the schemas, the most inconsistent mapping is the rights metadata, and a large gap exists in the structural metadata and controlled vocabularies to specify various property values. The analysis and collated crosswalks can serve as a reference for data repositories when they develop crosswalks from their own schemas to Schema.org, and provide the research data community a benchmark of structured metadata implementation.",
         "eprint" : "https://direct.mit.edu/dint/article-pdf/5/1/100/2074249/dint\\_a\\_00186.pdf",
         
         "issn" : "2641-435X",
         
         "doi" : "10.1162/dint_a_00186",
         
         "bibtexKey": "10.1162/dint_a_00186"

      }
	  
   ]
}
