1. A method performed by a computing device, which is communicatively coupled to a first database and a second database, for semantic data projection in an artificial intelligence system, the method comprising: selecting, from the first database, a first subset of one or more first semantic formulae based on a comparison of respective weights of each of the one or more first semantic formulae and a predetermined threshold weight value, wherein the respective weights of each of the one or more first semantic formulae are assigned to the first subset of one or more first semantic formulae based on a particular topical term; selecting, from the second database, a second subset of one or more second semantic formulae based on the particular topical term, wherein the second subset of the one or more second semantic formulae is semantically relevant to the first subset of the one or more first semantic formulae; generating one or more third semantic formulae based on the first subset of the one or more first semantic formulae and the second subset of the one or more second semantic formulae, wherein the generating the one or more third semantic formulae includes generating one or more conclusions based on the first subset of the one or more first semantic formulae and the second subset of the one or more second semantic formulae, thereby enabling simulation of human deduction process in the artificial intelligence system; and reverting to the selection of the first subset of the one or more first semantic formulae when one or more conditions are not met, wherein the one or more conditions include, at least, a duration of the semantic data projection, a count of times of the reverting, or a count of the generated one or more third semantic formulae.