Service-oriented conceptualization is a method for establishing enterprise concepts developed
from business requirements and organizational software product specifications. These business
and technology ideas can facilitate the design, architecture, and construction of services that
will operate in production environments. How can these abstractions better assist in managing
service life cycles? What is the recommended mechanism to simplify the service development
process?
To help accomplish these development tasks, conceptual services should be established
that correspond to the organization??™s ideas. These service concepts can also capture the proposed
solutions and provide a better understanding of the problems and concerns facing the enterprise.
Conceptual services lead to tangible software executables, encourage asset reusability, and
contribute to common languages across organizations.
But how to discover and establish these enterprise ideas?What are the possible methods for
the treatment of concepts? Can abstractions be manipulated just like any other concrete objects?
To answer these questions, it is necessary to inspect similar challenges in today??™s computing field
and to learn about proposed solutions.
In 1980, Ryszard S. Michalski published his machine learning research in the Journal
of Policy Analysis and Information Systems.1 This article was a significant milestone for the
artificial intelligence (AI) computing field.
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