Semantic Web-Based Information Systems: State-of-the-Art ...
Semantic Web-Based Information Systems: State-of-the-Art ...
Semantic Web-Based Information Systems: State-of-the-Art ...
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0 Kaykova, Khr yenko, Kovtun, Naumenko, Terz yan, & Zharko<br />
for organizational diagnostics and management), video security systems (objects<br />
under observation, monitoring experts, and video/image automated processing<br />
tools), and so forth.<br />
Expert analysis <strong>of</strong> recent results and fur<strong>the</strong>r brainstorming session have revealed<br />
<strong>the</strong>ir applicability in <strong>the</strong> sports domain. Currently, many kinds <strong>of</strong> human wearable<br />
and implanted sensors exist, and <strong>the</strong>ir integration could provide a comprehensive<br />
data set about <strong>the</strong> dynamics <strong>of</strong> a sportsman’s state. The SmartResource General<br />
Adaptation Framework, in this case, could be applied to <strong>the</strong> adaptation <strong>of</strong> <strong>the</strong> heterogeneous<br />
sensors to a unified environment and <strong>the</strong>ir data integrated to a comprehensive<br />
semantic data model. Data stored with <strong>the</strong>se assumptions can be available<br />
to sophisticated analytical s<strong>of</strong>tware (even remote) or human experts, which also<br />
are supposed to be integrated to <strong>the</strong> same medium. As a concrete use case, we can<br />
consider, for example, some neuro-fuzzy online predictor that analyzes a track<br />
<strong>of</strong> ski-jumpers’ state changes, and gives real-time instruction (e.g., about correct<br />
posture). The real-time instruction is very helpful for different sportsmen (e.g.,<br />
swimmers, runners, water-jumpers, bodybuilders, etc.) during <strong>the</strong>ir training; <strong>the</strong><br />
corrections <strong>of</strong> <strong>the</strong> loading are made, depending on <strong>the</strong> context (human condition,<br />
endured traumas, wea<strong>the</strong>r conditions, etc.). The output diagnosis <strong>of</strong> <strong>the</strong> decisionmaking<br />
service can be not so demanding to a response time, like a generation <strong>of</strong><br />
a monthly or yearly individual training schedule. The latter has been formalized,<br />
classified, and specified ra<strong>the</strong>r well by now, which makes it easy to represent in a<br />
form <strong>of</strong> ontology. Sportsmen training and instructing is a very relevant domain for<br />
automated learning services, which, after <strong>the</strong> adaptation, can learn on <strong>the</strong> unified<br />
sportsmen training data and act as an expert service in <strong>the</strong> future.<br />
The next application area covers various enterprise-wide knowledge management<br />
systems and research and development activities management systems, which integrate<br />
numerous heterogeneous companies’ branches and coordinate <strong>the</strong>ir processes,<br />
providing an integral and unified representation interface. Enterprise resources<br />
planning (ERP) is a more concrete example <strong>of</strong> an application area; a representation<br />
<strong>of</strong> <strong>the</strong> state <strong>of</strong> resources through <strong>the</strong> whole enterprise in <strong>the</strong> integral view is a<br />
current challenge for many large companies today (e.g., integration <strong>of</strong> reports in<br />
Excel, XML, and different standards into one). Very <strong>of</strong>ten, within one big company,<br />
product or project data that are distributed among many filial parts in heterogeneous<br />
formats/systems must be transformed to a common format to enable determining<br />
<strong>the</strong> similarities and intersections among <strong>the</strong> products and projects.<br />
Ano<strong>the</strong>r application area is “Tender Management” (i.e., <strong>the</strong> evaluation <strong>of</strong> subcontractors).<br />
Companies such as Micros<strong>of</strong>t could utilize <strong>the</strong> project results for building<br />
a management system <strong>of</strong> <strong>the</strong> tender activities carried out among numerous<br />
heterogeneous third-party vendors. For this, <strong>the</strong> restrictions on <strong>the</strong> specification <strong>of</strong><br />
<strong>the</strong> required component/subsystem are formalized in a unified form (according to<br />
our solution, it will be RDF/RSCDF) to enable automated semantic match with a<br />
corresponding description <strong>of</strong> <strong>the</strong> third-party vendor solutions.<br />
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