DITA relationship table based on contextual taxonomy density

A computer program product for a Darwin Information Typing Architecture (DITA) taxonomy system, the computer program product comprising:

• one or more computer-readable storage media and program instructions stored on the one or more computer-readable storage media, the program instructions causing one or more processors to perform a computer implemented method comprising:
• generating a subject taxonomy based on comparing one or more concept nouns included in one or more concept topic files to one or more nouns included in a product database, wherein generating the subject taxonomy further comprises:
• extracting the one or more concept nouns detailed by at least one of a topic title and a description associated with the one or more concept topic files;
• extracting the one or more nouns included in the product database;
• identifying one or more most frequently used nouns of the one or more nouns included in the product database;
• comparing the one or more concept nouns to the one or more most frequently used nouns;
• and
• determining that at least one concept noun of the one or more concept nouns is included in the one or more nouns;
• generating a navigation taxonomy based on comparing one or more task verbs included in one or more task topic files to one or more verbs included in a navigation guideline database, wherein generating the navigation taxonomy further comprises:
• extracting the one or more task verbs detailed by at least one of a topic title and a description associated with the one or more task topic files;
• extracting the one or more verbs included in the navigation guideline database, wherein the navigation guideline database details templates for generating task topics;
• comparing the one or more task verbs to the one or more verbs;
• and
• determining that at least one task verb of the one or more task verbs is included in the one or more verbs;
• generating a command relational taxonomy based on identifying one or more reference command tags, one or more reference verbs, and one or more reference nouns included in one or more reference topic files;
• and
• generating a relationship table based on identifying one or more commonalities between the subject taxonomy and the navigation taxonomy, and the command relational taxonomy.

A computer system for a Darwin Information Typing Architecture (DITA) taxonomy system, the computer system comprising:

• one or more computer processors, one or more computer-readable storage media, and program instructions stored on one or more of the computer-readable storage media for execution by at least one of the one or more processors, the program instructions, when executed by the at least one of the one or more processors, causing the computer system to perform a method comprising:
• generating a subject taxonomy based on comparing one or more concept nouns included in one or more concept topic files to one or more nouns included in a product database, wherein generating the subject taxonomy further comprises:
• extracting the one or more concept nouns detailed by at least one of a topic title and a description associated with the one or more concept topic files;
• extracting the one or more nouns included in the product database;
• identifying one or more most frequently used nouns of the one or more nouns included in the product database;
• comparing the one or more concept nouns to the one or more most frequently used nouns;
• and
• determining that at least one concept noun of the one or more concept nouns is included in the one or more nouns;
• generating a navigation taxonomy based on comparing one or more task verbs included in one or more task topic files to one or more verbs included in a navigation guideline database, wherein generating the navigation taxonomy further comprises:
• extracting the one or more task verbs detailed by at least one of a topic title and a description associated with the one or more task topic files;
• extracting the one or more verbs included in the navigation guideline database, wherein the navigation guideline database details templates for generating task topics;
• comparing the one or more task verbs to the one or more verbs;
• and
• determining that at least one task verb of the one or more task verbs is included in the one or more verbs;
• generating a command relational taxonomy based on identifying one or more reference command tags, one or more reference verbs, and one or more reference nouns included in one or more reference topic files;
• and
• generating a relationship table based on identifying one or more commonalities between the subject taxonomy and the navigation taxonomy, and the command relational taxonomy.