Techniques are presented herein that support the tokenizing of semantically enriched information sets (such as the Darwin Information Typing Architecture (DITA)) to associate ontological relationships between the various entities and intents in a product information library and rendering them as API responses. The method uses an Inverted Disclosure Plot and a weighted algorithm to determine the order of kinship based on the varied relationships that occur between the extracted entities and various intents. Subsequently, a domain ontology may be generated as a Resource Description Framework (RDF) and, the RDF may be translated into a series of application programming interface (API) notations.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.