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Ranking Ontologies with AKTiveRank
07-25-2014, 05:30 PM
#
Ranking Ontologies with AKTiveRank
Hi i am vijayakumar. I want project on the topic of "Ranking Ontologies with AKTiveRank" that contains formula:

1.CMM(o, τ) = αE(o, T) + βP(o, T)

where CMM(o, τ ) is the Class Match Measure for ontology o with respect to search
terms τ . α and β are the exact matching and partial matching weight factors respectively.
Exact matching is favoured over partial matching if α > β. In the experiments
described in this paper, α = 0.6 & β = 0.4, thus putting more emphasis on exact
matching.
Example: When searching the ontology o (aktive-portal-ontology-latest.owl4) for class
labels that equals, or contains, the terms “student” or “university”, the following classes
can be found: Student, PhD-Student, University, Distance-teaching-university and Universityfaculty.
So the results is two classes with identical labels to our search terms, and three
classes with labels containing the search terms. CMM can therefore be calculated as
follows:
cmm(student) = 1 ∗ 0.6 + 1 ∗ 0.4 = 1
cmm(university) = 1 ∗ 0.6 + 2 ∗ 0.4 = 1.4
CMM(o, {student, university}) = 1+1.4 = 2.4

n
2.DEM(o) = 1/n E dem©
i=1

where dem© is the Density Measure for class c. wi is a weight factor set to a default
value of 1, and n = E(o, T) + P(o, T) which is the number of matched classes in
ontology o.
Example: The neighbourhoods of the classes Student and University in the ontology
ita.owl5 are shown in figure 2. When using the weights 1, 0.25, 0.5 and 0.5, for subclasses,
superclasses, relationships and siblings respectively, we get the following:
dem(student) = 1 ∗ 2 + 0.25 ∗ 1 + 0.5 ∗ 0 + 0.5 ∗ 1 = 2.75
dem(university) = 1 ∗ 0 + 0.25 ∗ 1 + 0.5 ∗ 0 + 0.5 ∗ 5 = 2.75
DEM(ita.owl) = 2.75+2.75
2 = 2.75

n−1 n
3.SSM(o) = 1/k E E ssm(ci, cj)
i=1 j=i+1

where n is the number of matched classes.

I attach the paper.


Attached File(s)
.pdf  AKTIVE ranking.pdf (Size: 250.73 KB / Downloads: 5)
 


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