Semantic Web-Based Information Systems: State-of-the-Art ...

Kaykova, Khr yenko, Kovtun, Naumenko, Terz yan, & Zharko
Verma, 2004), and WSMO (2005), and associated initiatives such as SWWS (2005),
SWSI/SWSA (2005), and interoperability initiatives between some of these (Lara,
Roman, Polleres, & Fensel, 2004; Paolucci, Srinivasan, & Sycara, 2004). WSMO
and several related activities are being performed within the European Adaptive
Services Grid (ASG, 2005) project. CASCOM European project (2005) also can
be mentioned as one of the significant projects of the concerned domain, which is
based on an interdisciplinary combination of intelligent agent, Semantic Web, peerto-peer,
and mobile computing technologies.
One of the domains, where knowledge accumulation and its timely delivery are
crucial, is industrial maintenance (Automation, 2003). Development of a global
environment, which would support automation of knowledge management for
industrial maintenance, is a very profit-promising and challenging task. The latter
is what the SmartResource 1 project aims at in the research and development efforts
of Industrial Ontologies Group. 2
The intention of the SmartResource team is to provide tools and solutions to make
heterogeneous industrial resources (files, documents, services, devices, processes,
systems, human experts, etc.) Web-accessible, proactive, and cooperative in a sense
that they will be able to analyze their state independently from other systems or to
order such analysis from remote experts or Web services in order to be aware of their
own condition and to plan behavior toward effective and predictive maintenance.
This chapter presents an approach and a case study performed by the SmartResource
team within an industrial maintenance domain aimed to design a possible
architecture for interoperability of heterogeneous industrial resources, based on
Semantic Web standards. Emphasis is made on a General Adaptation Framework,
which is envisioned to enable reusable solutions and components for automatic
adaptation of different types of resources and their data formats to the Semantic
Web environment.
The structure of the further content is the following. The next section introduces a
global understanding environment as a background concept for future implementation
and also briefly describes stages of architectural design for it. The third section
provides more design and implementation details about the Adaptation Stage for the
target environment design. Then the general approach to building semantic adapters
for industrial resources is given. The section describes the challenge itself, goes
deeper into the details of the two-stage transformations between data models, and
presents its pilot implementation results for a use-case scenario. The fifth section
contains conclusions that follow from the performed research and development,
and finally, the last section comprises additional discussion around the work done:
practical usability of the results, their possible application areas, and plans for
further development.
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