7,923 research outputs found
Requirements modelling and formal analysis using graph operations
The increasing complexity of enterprise systems requires a more advanced
analysis of the representation of services expected than is currently possible.
Consequently, the specification stage, which could be facilitated by formal
verification, becomes very important to the system life-cycle. This paper presents
a formal modelling approach, which may be used in order to better represent
the reality of the system and to verify the awaited or existing system’s properties,
taking into account the environmental characteristics. For that, we firstly propose
a formalization process based upon properties specification, and secondly we
use Conceptual Graphs operations to develop reasoning mechanisms of verifying
requirements statements. The graphic visualization of these reasoning enables us
to correctly capture the system specifications by making it easier to determine if
desired properties hold. It is applied to the field of Enterprise modelling
Using Ontologies for the Design of Data Warehouses
Obtaining an implementation of a data warehouse is a complex task that forces
designers to acquire wide knowledge of the domain, thus requiring a high level
of expertise and becoming it a prone-to-fail task. Based on our experience, we
have detected a set of situations we have faced up with in real-world projects
in which we believe that the use of ontologies will improve several aspects of
the design of data warehouses. The aim of this article is to describe several
shortcomings of current data warehouse design approaches and discuss the
benefit of using ontologies to overcome them. This work is a starting point for
discussing the convenience of using ontologies in data warehouse design.Comment: 15 pages, 2 figure
Role of Semantic web in the changing context of Enterprise Collaboration
In order to compete with the global giants, enterprises are concentrating on
their core competencies and collaborating with organizations that compliment their
skills and core activities. The current trend is to develop temporary alliances of
independent enterprises, in which companies can come together to share skills, core
competencies and resources. However, knowledge sharing and communication
among multidiscipline companies is a complex and challenging problem. In a
collaborative environment, the meaning of knowledge is drastically affected by the
context in which it is viewed and interpreted; thus necessitating the treatment of
structure as well as semantics of the data stored in enterprise repositories. Keeping
the present market and technological scenario in mind, this research aims to propose
tools and techniques that can enable companies to assimilate distributed information
resources and achieve their business goals
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