90 research outputs found
Generating linked data repositories using UML artifacts
The usability of diagrams and models is increasing day by day, because of this we experience problem in searching and accessing from large size repositories of diagrams and models of software systems. This research might be helpful to search and access the diagrams and models in bigger repositories. For this purpose, this research developed linked data repositories which contain UML (Unified Modeling Language) artifacts, these artifacts are being organized with using UML class model. In particular, UML is being broadly applied to data modeling in many application domains, and generating linked data repositories from the UML class model is becoming a challenging task in the context of semantic web. This paper proposes an approach, in which we will build a construction tool by joining the characteristics of RDF (Resource Description Framework) and UML. Firstly we will formally define design artifacts and linked data repositories. After that we will propose a construction tool in which we will extract UML artifacts, these UML class model further transforms into the corresponding RDFs. The generated RDF linked data then will be verified by using W3C RDF, this is a validating service used to generate and verify the RDF triples and graphs. Finally, the proposed construction tool will be implemented with few experiments and research is validated using W3C RDF validating service. The proposed approach aims to give such a design that may facilitate the users to customize linked data repositories so that diagrams and models could be examined from large size data
Вплив екологічного стану Донецького регіону на його демографічний розвиток
В статті розглянуто важливу проблему впливу забрудненості навколишнього природного середовища на
захворюваність та смертність в регіоні.
Визначено кореляційну залежність між обсягом
викидів забруднюючих речовин та окремими видами
захворюваності, а також ступінь їх впливу, побудовано
функції, що описують їх.В статье рассмотрена важная проблема влияния
загрязненности окружающей естественной среды на
заболеваемость и смертность в регионе.
Определена корреляционная зависимость между
объемом выбросов загрязняющих веществ и отдельными видами заболеваемости, а также степень их влияния,
построены функции, которые описывают их.In the article the important problem of influence of
muddiness of natural environment is considered on morbidity
and death rate in a region.
Certainly cross-correlation dependence between the
volume of extrass of contaminents and separate types of
morbidity, and also degree of their influence, functions which
describe them are built.
Keywords: environment
Run Time Models in Adaptive Service Infrastructure
Software in the near ubiquitous future will need to cope with vari- ability, as software systems get deployed on an increasingly large diversity of computing platforms and operates in different execution environments. Heterogeneity of the underlying communication and computing infrastruc- ture, mobility inducing changes to the execution environments and therefore changes to the availability of resources and continuously evolving requirements require software systems to be adaptable according to the context changes. Software systems should also be reliable and meet the user's requirements and needs. Moreover, due to its pervasiveness, software systems must be de- pendable. Supporting the validation of these self-adaptive systems to ensure dependability requires a complete rethinking of the software life cycle. The traditional division among static analysis and dynamic analysis is blurred by the need to validate dynamic systems adaptation. Models play a key role in the validation of dependable systems, dynamic adaptation calls for the use of such models at run time. In this paper we describe the approach we have un- dertaken in recent projects to address the challenge of assessing dependability for adaptive software systems
Evaluation of relative effect potencies (REPs) for dioxin-like compounds to derive systemic or human-specific TEFs to improve human risk assessment
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