Semantic similarity analysis to determine relatedness of heterogeneous data

A method of determining relatedness of heterogeneous data, the method comprising:

• selecting a first customer observable from a first source document, the first customer observable being made up of two terms, the two terms being a first term of a first type and a first term of a second type;
• selecting a second customer observable from a second source document, the second customer observable being made up of a second term of the first type and a second term of the second type;
• creating a first corpus of all documents that include the first term of the first type and the first term of the second type;
• creating a second corpus of all documents that include the second term of the first type and the second term of the second type;
• obtaining other first terms of the first type and other first terms of the second type in the first corpus and other second terms of the first type and other second terms of the second type in the second corpus;
• and
• performing semantic similarity analysis using the first term of the first type, the other first terms of the first type, the second term of the first type, and the other second terms of the first type and the first term of the second type, the other first terms of the second type, the second term of the second type, and the other second terms of the second type to determine a similarity score between the first customer observable and the second customer observable.