In computer science research, ontologies are commonly utilised to create a unified abstract across many rich and different fields. In this paper, we apply the concept to the customer centric domain of digital services analytics and present an analytics solution ontology. The essence is based from traditional Entity Relationship Diagram (ERD), which then was abstracted out to cover wider areas on customer centric digital services. The ontology we developed covers both static aspects (customer identifiers) and dynamic aspects (customer’s temporal interactions). The structure of the customer scape is modeled with classes that represent different types of customer touch points, ranging from digital and digital-stamps which represent physical analogies. The dynamic aspects of customer centric digital service are modeled with a set of classes, with the importance is represented in different associations involving establishment and termination of the target interaction. The realized ontology can be used in development of frameworks for customer centric applications, and for specification of common data format used by cooperating digital service applications.

1.
B.
Chandrasekaran
,
J. R.
Josephson
, and
V. R.
Benjamins
,
IEEE Intelligent Systems and their applications
14
(
1
),
20
26
(
1999
).
2.
A. P.
Sheth
,
Changing Focus on Interoperability in Information Systems: From System, Syntax, Structure to Semantics
(
Interoperating Geographic Information System
,
1999
), pp.
5
30
.
3.
J.
Goguen
, “Information Integration in Institutions,” in
Lawrence Moss
(
Memorial volume for Jon Barwise
,
Indiana
).
4.
S.
Bowers
and
B.
Ludascher
, “An Ontology-driven Framework for Data Transformation in Scientific Workflows,” in
Data Integration in the Life Sciences
(
Springer
,
2004
), pp.
1
16
5.
G.
Simson
G.,
G.C.
Witt
,
Data Modelling Essentials
, Third Edition (
Morgan Kaufmann Publications
,
Elsevier
,
2005
).
6.
R. J.
Wieringa
and
W. D.
Jonge
,
Theory and Practice of Object Systems
1
(
2
),
101
114
(
1995
).
7.
R.
Mizoguchi
.
Tutorial on ontological engineering - part 3:Advanced course of ontological engineering
(
New Generation
).
8.
A.
Paepcke
,
C-C. K.
Chang
,
T.
Winograd
and
H.
Garcia-Molina
,
Communications of the ACM
41
(
4
),
33
42
(
1998
).
9.
Baumann
R
,
Loebe
F
,
Herre
H.
, “
Ontology of time in GFO
,” in
Formal Ontology in Information Systems
,
Proceedings of the Seventh International Conference
(
The NetherlandsIOS Press
,
Amsterdam
,
2012
), pp.
293
306
.
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