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which aim at the cognitive function. So it is worthless to describe cogni-
tive function concepts themselves in the function dimension. For providing
a holistic study view and functional model of human brain, the function
dimension needs to focus on functional relationships among cognitive func-
tions. Thus, there is no key data property in the function dimension. Only
the key object property “has-functional-relationship-with”, which describes
functional relationships among cognitive functions, is included in function
dimension. It includes various sub-properties, such as “includes-in-function”
and “related-to-in-function”, which are used to describe different functional
relationships.
- Defining the concept hierarchy
: At present, there is not standard taxon-
omy of human cognitive functions. Researchers often classify cognitive func-
tions according to their own study viewpoints, such as LRMB model [10].
The systematic investigation in BI methodology is a thinking centric one,
so we can define the concept hierarchy of function dimension as follows.
Firstly, human cognitive function concepts are classified into two classes,
“Perception-Centric-Cognitive-Function” and “Thinking-Centric-Cognitive-
Function”. The former includes perception oriented cognitive functions re-
lated concepts, such as “Vision” and “Hearing”. The latter includes think-
ing centric cognitive functions related concepts on which BI focuses, such as
“Reasoning”. Secondly, all of cognitive functions are specialized into more
characterized sub-classes. For example, the concept “Reasoning” can be spe-
cialized into multiple sub-concepts, such as “Induction” and “Deduction”.
- Constructing axioms
: Axioms are formal assertions that model sentences
that are always true. They provide a way of representing more information
about concepts, such as constraining on their own internal structure and mu-
tual relationships. The primary axioms in Data-Brain are restriction axioms,
including value constraints and cardinality constraints. Thus, constructing
axioms in Data-Brain can be specialized as using data properties and object
properties to describe concepts with the necessary constraints. Because of
lacking data properties, constructing axioms in function dimension is just
to use the key object property “has-functional-relationship-with” and its
sub-properties to describe cognitive function concepts of function dimension
with the necessary constraints. For example, we can use the object property
“includes-in-function” to describe the concept “Induction” as follow:
Induction ⊆ Restriction
(
∃ includes − in − f unction Attention
)
.
This means that
Induction
includes
Attention
as a sub-component, but it
does not only include
Attention
.
4.3
Constructing Conceptual Views
A Data-Brain includes various conceptual views which are extracted from the
function dimension of the Data-Brain. Because we use ontologies to model Data-
Brain, its conceptual views are just the traversal views [7] of the function
