Knowledge patterns for conversion of sentences in natural language into RDF graph language

This paper describes the knowledge patterns for the conversion of sentences in natural language into RDF graph language. While creating knowledge base in RDF graph language from sentences expressed in natural language, one must convert words from sentences to nodes and arcs in RDF graphs. For this conversion, it is important to know which members of a sentence represent particular words. In this paper, knowledge patterns are proposed as a tool for conversion of sentences. In order to capture knowledge patters one can use extended RDF graph language. For the representation of knowledge patterns, further extension of this language is proposed. The paper contains four examples of knowledge patterns and their use.