Ontology based approach for green software ecosystem formalization

Shostak, Igor; Volobuyeva, Lina; Danova, Mariia

doi:10.1109/dessert.2018.8409196

Cited by 5 publications

(5 citation statements)

References 5 publications

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“…The basis for comparison here was the calculation of such costs for the conventional way of organizing data used by industrial information-analytical systemsin the form of relational-type DBMS (Table 1). Regarding the economic impact of the implementation of OIAS, this paper reports a procedure of calculating the annual profit of an enterprise from the introduction of automation (1) to (6). The main difference between this procedure and the standard one is to take into consideration the additional costs associated with the support in the proper state of the ontological component of OIAS (2), as well as the calculation of additional profit from the improvement of product quality (4).…”

Section: Discussion Of Results Of Using the Ontological Approach To Imentioning

confidence: 99%

“…Modern practice shows that the most effective means of organizing automated quality control of manufactured products are the information-analytical systems with an ontological component [6,7]. The ontological approach provides an adequate representation of the certification process using computer tools [8].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…At the same time, the existing tools for the development of such systems are focused on solving a rather narrow class of tasks [9] whose extension requires significant refinement of the software and, in some cases, the hardware platform. A common drawback of works [6][7][8][9] is the lack of theoretical justification and practical recommendations for applying an ontological approach to the design of industrial information-analytical systems.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

See 2 more Smart Citations

Building an ontological information-analytical system to manage quality of double-glazed windows in the production of solar panels

Sobchak

Mykhalkiv

Babaiev

et al. 2020

EEJET

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This paper reports an ontological approach to designing intelligent decision support to control the quality of multi-layered double-glazed windows within the framework of a virtual instrument-building enterprise (VIE)that produces solar energy complexes. It is shown that improving the efficiency in solving the tasks related to managing the quality of VIE products necessitates the application of an ontological engineering toolset to create a unified knowledge space that would cover the manufacturing phase of a product's life cycle. The methodical basis for making an ontological information-analytical system (OIAS) to manage product quality was the tool platform "TODOS" (Ukraine) whose means were used to synthesize a set of ontological models that make up the intelligent core of OIAS. The OIAS knowledge-based inference procedure has been described when making a decision about a deviation in the manufacturing process that led to the emergence of damage. This procedure implies the implementation of direct and reverse inference based on the knowledge in the ontological environment and makes it possible to identify the sources of defects and damage and generate a solution to eliminating these sources. Procedures have been devised to assess the effectiveness of the development and application of OIAS to automate the quality management of multi-layered double-glazed windows. These procedures employ a set of indicators that reflect both the technical and economic components of the quality control process. It has been shown that during 2019 a typical subcontractor enterprise that applied the developed system managed to reduce the number of defective products by about 73 %. Further research areas have been identified, including the development of methodical means and, based on them, the toolsets for the deployment of industrial ontological quality management systems

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Section: Discussion Of Results Of Using the Ontological Approach To Imentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

See 1 more Smart Citation

Building an ontological information-analytical system to manage quality of double-glazed windows in the production of solar panels

Sobchak

Mykhalkiv

Babaiev

et al. 2020

EEJET

View full text Add to dashboard Cite

show abstract

“…Forecast of promising lines of creating software ecosystems is the rather interesting field of application of the proposed method. Existing approaches are time-consuming and use parametric identification [13] and ontologies [14]. Use of the event logs of existing information systems makes it possible to identify constraints and conditions that are essential for creating a friendly behavior in the information environment.…”

Section: Discussion Of the Results Obtained In The Study Of The Methomentioning

confidence: 99%

Development of a method for the probabilistic inference of sequences of a business process activities to support the business process management

Левыкин

Chala

2018

EEJET

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“…The FIPA standards have been popularly used by MAS developers in the computer science community and FIPA was formally accepted as a standards committee of the IEEE Computer Society In 2005 [109]. Such standardization promotes open specifications for the interoperability between agents and MAS [117]. The FIPA standards include specifications for the agent communication language, communicative acts, content languages, and message transport protocols.…”

Section: • Standards For Agent Communication and Interoperabilitymentioning

confidence: 99%

The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review

Schultz

Christensen

et al. 2019

Energies

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Multi-agent systems are well-known for their expressiveness to explore interactions and knowledge representation in complex systems. Multi-agent systems have been applied in the energy domain since the 1990s. As more applications of multi-agent systems in the energy domain for advanced functions, the interoperability raises challenge raises to an increasing requirement for data and information exchange between systems. Therefore, the application of ontology in multi-agent systems needs to be emphasized and a systematic approach for the application needs to be developed. This study aims to investigate literature on the application of ontology in multi-agent systems within the energy domain and map the key concepts underpinning these research areas. A scoping review of the existing literature on ontology for multi-agent systems in the energy domain is conducted. This paper presents an overview of the application of multi-agent systems (MAS) and ontologies in the energy domain with five aspects of the definition of agent and MAS; MAS applied in the energy domain, defined ontologies in the energy domain, MAS design methodology, and architectures, and the application of ontology in the MAS development. Furthermore, this paper provides a recommendation list for the ontology-driven multi-agent system development with the aspects of 1) ontology development process in MAS design, 2) detail design process and realization of ontology-driven MAS development, 3) open standard implementation and adoption, 4) inter-domain MAS development, and 5) agent listing approach.

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Ontology based approach for green software ecosystem formalization

Cited by 5 publications

References 5 publications

Building an ontological information-analytical system to manage quality of double-glazed windows in the production of solar panels

Building an ontological information-analytical system to manage quality of double-glazed windows in the production of solar panels

Development of a method for the probabilistic inference of sequences of a business process activities to support the business process management

The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review

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