Better expressivity. RDF* allows every LPG to be efficiently converted into an RDF model. On the other hand, LPGs cannot fully represent RDF* because of the rich expressivity of the latter.

LPG edges/connections can have types and attributes (properties as the name suggests) natively, making the LPG data structure more dense, compact, and informative compared to RDF.

There are two camps of Graph database, one side is RDF, where they are strict with their format, and somewhat limited for their extensibility. The other side is LPG, where they can define labels to the relationships.

There is an ongoing debate about which graph data model is best, and in this blog post, we’ll explore why RDF (Resource Description Framework) stands out as the superior choice for building more sustainable and scalable knowledge graphs over LPG (Labeled Property Graphs).

Cassini

[Steve Jobs]: If you sort of dig beneath the surface,one of the real successes of the Lisa programwas creating an environment where all these crazy people that could reallybe very, very successful.And I guess that's one of the things that Apple's done best.

Learning SPARQL Querying and Updating with SPARQL 1.1

Federated SPARQL Query, incorporating data from both DBpedia & Wikidata

SERVICE <http://dbpedia.org/sparql>
  { 
    SELECT ?item
           ?dbpediaID
           ?label
           ?image
           ?description
           ?subjectText
    FROM  <http://dbpedia.org> 
    WHERE
      {
        ?dbpediaID  owl:sameAs      ?item ; 
                    rdfs:label      ?label ; 
                    foaf:depiction  ?image ;
                    rdfs:comment    ?description ;
                    dct:subject
                      [ rdfs:label  ?subjectText ] .
        FILTER ( LANG(?label) = "en" ) 
        FILTER ( LANG(?description) = "en" ) 
      }
  }

RDF-star: bridging the gap betweenLinked Data and Property Graphs

There are many different types of controlled vocabularies, the most common among them are: Thesaurus - a type of controlled vocabulary used in information systems that organizes concepts in hierarchical and/or associative relationships and provides their semantic definitions Classification schema - a system that based primarily on classifying things or concepts into groups or classes with a detailed explanation of those classification methods Subject heading list - a list of terms describing subjects in information system Taxonomy - a system that organizes things and concepts in groups based on their common characteristics and/or differences Terminology - a list of terms used to describe concepts in a certain domain Glossary - an alphabetical list of terms with their explanation used in a specific context