System and method for purchasing advertisements associated with words and phrases

A system comprising:

• at least one processor;
• and
• at least one storage medium storing processor-executable instructions that, when executed by the at least one processor, perform a method for purchasing an advertisement opportunity based on a knowledge representation, the method comprising:
• obtaining purchaser-context information associated with at least one purchaser;
• computing a value, specific to the at least one purchaser, of an advertisement opportunity associated with at least one advertising word or phrase, the computing comprising:
• identifying, in a knowledge representation encoded as a data structure, a first concept representing at least a portion of the purchaser-context information,
• identifying, in the knowledge representation, a second concept with which the at least one advertising word or phrase shares at least one label,
• determining a semantic relevance between the first concept and the second concept based at least in part on the first and second concepts' relative positions in a topology of the knowledge representation, and
• computing the value of the advertisement opportunity as a function of the determined semantic relevance between the first and second concepts;
• comparing the computed value to a purchase price of the advertisement opportunity;
• and
• purchasing the advertisement opportunity in response to determining that the computed value exceeds the purchase price.

A non-transitory computer-readable medium storing code that, when executed on a computer device, adapts the device to perform a method for purchasing an advertisement opportunity based on a knowledge representation, the method comprising:

• obtaining purchaser-context information associated with at least one purchaser;
• computing a value, specific to the at least one purchaser, of an advertisement opportunity associated with at least one advertising word or phrase, the computing comprising:
• identifying, in a knowledge representation encoded as a data structure, a first concept representing at least a portion of the purchaser-context information,
• identifying, in the knowledge representation, a second concept with which the at least one advertising word or phrase shares at least one label,
• determining a semantic relevance between the first concept and the second concept based at least in part on the first and second concepts' relative positions in a topology of the knowledge representation, and
• computing the value of the advertisement opportunity as a function of the determined semantic relevance between the first and second concepts;
• comparing the computed value to a purchase price of the advertisement opportunity;
• and
• purchasing the advertisement opportunity in response to determining that the computed value exceeds the purchase price.