Data Flow: Annotating LinkedIn Posts
I stumbled across a great article by Kurt Kagel (doesn’t currently have an “@” based identifier in this data space) about the problems that perennially impede data integration projects. Here are my notes, using nanotation:
{
<https://www.linkedin.com/pulse/why-big-data-hub-projects-fail-kurt-cagle#this>
a schema:WebPage ;
schema:name “Why Big Data Hub Projects Fail” ;
schema:url <https://www.linkedin.com/pulse/why-big-data-hub-projects-fail-kurt-cagle> ;
owl:sameAs <http://linkeddata.uriburner.com/about/id/https/www.linkedin.com/pulse/why-big-data-hub-projects-fail-kurt-cagle> ;
schema:mainEntity <https://twitter.com/hashtag/DataIntegration#this> ; schema:mentions dbpedia:Master_data_management, dbpedia:Systems_architect, dbpedia:Data_architect, dbpedia:Ontology, <https://twitter.com/hashtag/BigData#this>;
skos:related <https://twitter.com/hashtag/DataVirtualization#this>, <https://twitter.com/hashtag/DataFlow#this>, <https://twitter.com/hashtag/LinkedData#this>, <https://twitter.com/hashtag/SemanticWeb#this> .
}
Results of passing the above through the RDF Language processor behind our URIBurner service:
