کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4943061 | 1437619 | 2017 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Towards a decision-aware declarative process modeling language for knowledge-intensive processes
ترجمه فارسی عنوان
به سوی فرایند تکرار پذیری در مورد تصمیم گیری در مورد مدل سازی زبان برای فرآیندهای فشرده دانش
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کلمات کلیدی
مدیریت فرایند کسب و کار، فرآیندهای بی نظیر فریم فرآیندهای فشرده دانش، مدل سازی روند اعلام شده، مدل سازی تصمیم، استدلال منابع،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Modeling loosely framed and knowledge-intensive business processes with the currently available process modeling languages is very challenging. Some lack the flexibility to model this type of processes, while others are missing one or more perspectives needed to add the necessary level of detail to the models. In this paper we have composed a list of requirements that a modeling language should fulfil in order to adequately support the modeling of this type of processes. Based on these requirements, a metamodel for a new modeling language was developed that satisfies them all. The new language, called DeciClare, incorporates parts of several existing modeling languages, integrating them with new solutions to requirements that had not yet been met. Deciclare is a declarative modeling language at its core, and therefore, can inherently deal with the flexibility required to model loosely framed processes. The complementary resource and data perspectives add the capability to reason about, respectively, resources and data values. The latter makes it possible to encapsulate the knowledge that governs the process flow by offering support for decision modeling. The abstract syntax of DeciClare has been implemented in the form of an Ecore model. Based on this implementation, the language-domain appropriateness of the language was validated by domain experts using the arm fracture case as application scenario.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 87, 30 November 2017, Pages 316-334
Journal: Expert Systems with Applications - Volume 87, 30 November 2017, Pages 316-334
نویسندگان
Steven Mertens, Frederik Gailly, Geert Poels,