Figure 6.

(A) Knowledge captured in unstructured, textual formats e.g. scientific articles, is distributed and programmatically inaccessible. (B) This knowledge can be structured in an intuitive and machine-readable way as a series of semantic subject-predicate-object triples – where entities are the subjects and/or objects and the relationships between entities are the predicates. (C) Entities can be stored as the nodes of a graph. The semantic value of the relationships between entities are preserved and stored as edges. The graph can continue to grow to produce a queryable representation of all knowledge on a topic (see Figure 7).