#rdfxml 검색 결과
How to retrieve specific values from RDF XML file in python stackoverflow.com/questions/6754… #rdfxml #python3x #sparql #rdf

Courtesy of @datasniff, I can look at the #StructuredData in my profile snippet using other notations e.g., #JSONLD or #RDFXML. That's all possible because @datasniff treats #RDF as a data definition language that's loosely associated with various notations and content-types.


praise the #xml #rdf jesus and pass an entire gallon of wine After probably ~50 hours of coding and learning all sorts of new things I have finally turned a paper controlled vocabulary into a 33,123 line #RDFXML #LDV the next step is getting onto an @omeka (S) instance

@datasniff reveals: Misconception that #RDF == #RDFXML is strong, as this @Google Search results page about #Nigeria demonstrates. google.com/search?q=filet… With @datasniff installed, you will have a deeper view of what's returned by Google + a #KnowledgeGraph upload option.




If you work with legacy RDF/XML files, and you want to parse them efficiently in a streaming way, have a look at this new fully spec-compliant JavaScript parser: bit.ly/2wFletj #rdf #rdfxml #streaming
#FAIR Data für #OpenScience - @zb_med stellt aktuelle deutsche Version des deutschen MeSH zum kostenfreien Download bereit. Erstmalig in bilingualer Übersetzung in semantisch FAIRen Formaten #RDFXML #JSONLD #MedicalSubjectHeadings idwf.de/-C9wXAC
Do you know #semantic #serialization formats? #RdfXml: terrible, #Turtle: readable, #JsonLd: dev-friendly... #YamlLd: both readable and dev-friendly! json-ld.github.io/yaml-ld/spec/ github.com/seontology/seo… github.com/Accord-Project…
github.com
GitHub - Accord-Project/yaml-ld-tools: YAML to RDF and back converter
YAML to RDF and back converter. Contribute to Accord-Project/yaml-ld-tools development by creating an account on GitHub.
key question is how much easier would it be to make such a thing if we provided #HDTrdf next to #rdfxml. considering the extra CPU and storage cost on our side. Not like making a #HDT file is difficult to do? Question really is what would providing HDT buy you.
#RDFTurtle vs #JSONLD vs #RDFXML -- distracting battle of notations. #RDBMS vs #GraphDatabase -- distracting battle of Tuple Structures and Management. #SQL vs #SPARQL -- distracting battle of declarative languages. Data Abstraction via Relations is Golden :) #RDF #Data
What does mean or imply? You can write #JSONLD, #RDFTurtle, #RDFXML, #CSV, #JSON wherever text is accepted, and then leave @datasniff to handle the transformation. For JSON-LD you do: ## JSON-LD Start ## {Your-JSON-LD-Content} ## JSON-LD End ## That's it! #StructuredData
Do you know #semantic #serialization formats? #RdfXml: terrible, #Turtle: readable, #JsonLd: dev-friendly... #YamlLd: both readable and dev-friendly! json-ld.github.io/yaml-ld/spec/ github.com/seontology/seo… github.com/Accord-Project…
github.com
GitHub - Accord-Project/yaml-ld-tools: YAML to RDF and back converter
YAML to RDF and back converter. Contribute to Accord-Project/yaml-ld-tools development by creating an account on GitHub.
Courtesy of @datasniff, I can look at the #StructuredData in my profile snippet using other notations e.g., #JSONLD or #RDFXML. That's all possible because @datasniff treats #RDF as a data definition language that's loosely associated with various notations and content-types.


#FAIR Data für #OpenScience - @zb_med stellt aktuelle deutsche Version des deutschen MeSH zum kostenfreien Download bereit. Erstmalig in bilingualer Übersetzung in semantisch FAIRen Formaten #RDFXML #JSONLD #MedicalSubjectHeadings idwf.de/-C9wXAC
@datasniff reveals: Misconception that #RDF == #RDFXML is strong, as this @Google Search results page about #Nigeria demonstrates. google.com/search?q=filet… With @datasniff installed, you will have a deeper view of what's returned by Google + a #KnowledgeGraph upload option.




key question is how much easier would it be to make such a thing if we provided #HDTrdf next to #rdfxml. considering the extra CPU and storage cost on our side. Not like making a #HDT file is difficult to do? Question really is what would providing HDT buy you.
How to retrieve specific values from RDF XML file in python stackoverflow.com/questions/6754… #rdfxml #python3x #sparql #rdf

What does mean or imply? You can write #JSONLD, #RDFTurtle, #RDFXML, #CSV, #JSON wherever text is accepted, and then leave @datasniff to handle the transformation. For JSON-LD you do: ## JSON-LD Start ## {Your-JSON-LD-Content} ## JSON-LD End ## That's it! #StructuredData
#RDFTurtle vs #JSONLD vs #RDFXML -- distracting battle of notations. #RDBMS vs #GraphDatabase -- distracting battle of Tuple Structures and Management. #SQL vs #SPARQL -- distracting battle of declarative languages. Data Abstraction via Relations is Golden :) #RDF #Data
How to retrieve specific values from RDF XML file in python stackoverflow.com/questions/6754… #rdfxml #python3x #sparql #rdf

Courtesy of @datasniff, I can look at the #StructuredData in my profile snippet using other notations e.g., #JSONLD or #RDFXML. That's all possible because @datasniff treats #RDF as a data definition language that's loosely associated with various notations and content-types.


@datasniff reveals: Misconception that #RDF == #RDFXML is strong, as this @Google Search results page about #Nigeria demonstrates. google.com/search?q=filet… With @datasniff installed, you will have a deeper view of what's returned by Google + a #KnowledgeGraph upload option.




praise the #xml #rdf jesus and pass an entire gallon of wine After probably ~50 hours of coding and learning all sorts of new things I have finally turned a paper controlled vocabulary into a 33,123 line #RDFXML #LDV the next step is getting onto an @omeka (S) instance

#RDFTurtle is a notation for "thinking" rather than "printing" (e.g., #JSONLD, #RDFXML etc..) . Its use within the body of a #SPARQL brings clearer thinking and understanding to declarative #KnowledgeGraph interaction. See: caligraph.org/explore.html #GraphDatabase #VirtuosoRDBMS

Awesome #OpenData collection! Your #RDFTurtle and #RDFXML doc type support enabled: [1] linkeddata.uriburner.com/describe/?url=… [2] linkeddata.uriburner.com/describe/?url=… #LinkedData #KnowledgeGraph #SemanticWeb
![kidehen's tweet image. Awesome #OpenData collection!
Your #RDFTurtle and #RDFXML doc type support enabled:
[1] linkeddata.uriburner.com/describe/?url=…
[2] linkeddata.uriburner.com/describe/?url=…
#LinkedData #KnowledgeGraph #SemanticWeb](https://pbs.twimg.com/media/D6Ou5oSXsAc8CEQ.jpg)
![kidehen's tweet image. Awesome #OpenData collection!
Your #RDFTurtle and #RDFXML doc type support enabled:
[1] linkeddata.uriburner.com/describe/?url=…
[2] linkeddata.uriburner.com/describe/?url=…
#LinkedData #KnowledgeGraph #SemanticWeb](https://pbs.twimg.com/media/D6Ou7LLWkAE2CsB.jpg)
![kidehen's tweet image. Awesome #OpenData collection!
Your #RDFTurtle and #RDFXML doc type support enabled:
[1] linkeddata.uriburner.com/describe/?url=…
[2] linkeddata.uriburner.com/describe/?url=…
#LinkedData #KnowledgeGraph #SemanticWeb](https://pbs.twimg.com/media/D6Ou8u8WwAAboWb.jpg)
Over the yrs we developed some 100+ drivers/connectors (category: #RDFizer) that transform content from a large number of doc types into abstract #RDF for which actual doc content-type is negotiable. All driven by #RDFXML. See: tinyurl.com/ya5wnyce #URIBurner #LinkedData

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