nlp - About subject,predicate and object in RDF -


This is a little off-topic !!! But please answer this question. I have studied a lot of articles and materials on the Net about RDF but I can not understand a thing that how programmatic topics, ingredients and objects are divided into a natural English line.

Ex: Scott Directed Runner / P>

If I give this above line, then how the line above is divided into topics, predictions and objects in relation to the programmical. answer please.

Thx ...

topic , like That you have mentioned, to define the aspects of sentences in some languages, the use of predicate in NALP, and object is used in this context to conflate with your use Do not do RDF, they are the names of three specific attributes of a triple / statement .

Read and note that one major danger is that a statement is formally defined as 3-Tupal:

  • Subject : = node the statement statement / for side : suffix < / Code>: = A meaningful label start
  • code>
  • object : = node < / Code> that ends on statement / side

    As you can see about RDF You will learn that you have two major problems:

    1. The pure NLP problem you have asked before, in which "How to make a sentence in natural language for a statement in RDF" Mapped "is included. This is not a trivial task, and it is a great deal of NLP to solve one.

    2. There is an RDF problem, "what should I define once, when I know what I am about to remove, representation for this material". It will include a direct mapping of language expression ("Bob is a cat" -> <> code: Bob RDF: Type: Cat ) Mapping more arbitrary concepts

      An example of mapping more arbitrary concept: "All cats have at least one master" - & gt; 

       : cat rdfs: subClassOf _: x _: x rdf: type owl: restriction _: x owl: but property: hasomer _: x owl: minimum cardinality "1" ^^ xsd: Disadvantage Integer   
       The common problem you make is to create an extraordinary big task that does not conform to StackOverflow when you develop an understanding of the domain, to weaken the point This work will need to break into many small issues, and Rate ask specific technical questions, as you work on it.

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