Information Technology Reference
In-Depth Information
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defining the domain and scope of a Data-Brain
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identifying key concepts and properties
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defining the concept hierarchy through taxonomic relations
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constructing axioms
All of the above work, from the identification of key concepts to the classification
of concepts, needs to obey some rules. During Data-Brain modeling, these rules
come from systematic BI methodology, i.e., Data-Brain modeling is based on BI
methodology.
According to dimension definitions, different dimensions of a Data-Brain focus
on different aspects of data related domain knowledge. Thus, after defining BI
as the domain of Data-Brain and the domain knowledge about BI data as the
scope of Data-Brain, we can follow the remanent three steps of “Enterprise
Methodology” to respectively construct four dimensions of Data-Brain based on
the different issues of BI methodology, including:
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constructing the function dimension based on the systematic investigation
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constructing the data dimension based on the systematic data storage
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constructing the experiment dimension based on the systematic experimental
design
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constructing the analysis dimension based on the systematic data analysis
and simulation.
In the next section, we will describe how to construct the function dimension
using OWL-DL language [19] and protege tool [20], which can be regarded as an
example of the BI methodology based dimension construction.
4.2
Constructing the Function Dimension Based on Systematic
Investigation
The function dimension constructed by ontology is an ontology of human cogni-
tive functions. At present, most of human brain related ontologies are the brain
structure related ontologies, such as the ontology of brain cortex anatomy [3].
The study about the ontology of cognitive functions has not gotten attention.
The systematic investigation is an important issue in BI methodology. Based
on it, the course of function dimension construction can be described as follows:
- Identifying key concepts and properties
: The systematic investigation
in BI methodology is the investigation of human thinking centric mecha-
nisms. Thus, key concepts of the function dimension are human cognitive
function concepts, such as “Reasoning” and “Problem-solving”, and their
sub-function concepts, such as “Induction”. These key concepts are described
by properties, including data properties and object properties. The data
properties are used to describe concepts themselves; the object properties
are used to describe relationships among concepts. In this systematic investi-
gation, each cognitive function concept represents a series of study activities
