Boolean operators in natural language
Last updated
Last updated
To say things such as pair ("peter","macbook")
is either in relation ownsa
or wantsa
, requires us to use boolean operators , , and .
Let us explain the meaning of relational operators , , and by means of examples.
Assume we have a relation, ownsa[Person*LaptopType]
, which contains the persons who own a particular type of laptop. A fact "peter" ownsa "macbook"
means that Peter owns a MacBook.
Also assume another relation wantsa[Person*LaptopType]
, which contains the persons who want a particular type of laptop. A fact "peter" wantsa "macbook"
means that Peter wants a MacBook.
The sentence: "Peter owns a MacBook or Peter wants a MacBook." is represented as
"peter"
(ownsa
wantsa
) "macbook"
.
The sentence: "Peter owns a MacBook and Peter wants a MacBook." is represented as
"peter"
(label
colour
) "macbook"
.
The sentence: "Peter owns a MacBook and Peter does not want a MacBook." is represented as
"peter"
(label
colour
) "macbook"
.
There is a pattern to this. A computer can generate a literal translation from the formula to natural language. However, that translation looks clumsy, verbose and elaborate. It is up to you to turn that in normal language. For examples click here. The systematic translation is given in the following table:
Formally
Natural language template
a r b
or a s b
.
a r b
and a s b
.
a r b
and nota s b
.
Would you like a different explanation of the relational operators? This page explains the boolean operators in terms of set theory. An explanation in logic is given here. Click here for some algebraic rules about boolean operators. If you want to see it explained visually in Venn-diagrams, click here.