3 research outputs found

    ΠžΠ½Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΡ‡Π΅ΡΠΊΠΎΠ΅ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Π³ΠΈΠ±Ρ€ΠΈΠ΄Π½Ρ‹Ρ… сСмантичСски совмСстимых ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… систСм Π½Π° основС смыслового прСдставлСния Π·Π½Π°Π½ΠΈΠΉ

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    Π Π°Π±ΠΎΡ‚Π° посвящСна ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ΅ обСспСчСния сСмантичСской совмСстимости ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… систСм. Показано, Ρ‡Ρ‚ΠΎ обСспСчСниС совмСстимости ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… систСм ΠΈ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… стандартов являСтся ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹ΠΌ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ развития Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ проСктирования ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… систСм. Π€ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½ΠΎ ΡƒΡ‚ΠΎΡ‡Π½Π΅Π½ΠΎ понятиС смыслового прСдставлСния ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ Π² памяти ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ систСмы, ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ΅ обСспСчиваСт ΠΎΠ΄Π½ΠΎΠ·Π½Π°Ρ‡Π½ΠΎΡΡ‚ΡŒ прСдставлСния ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ с использованиСм Π·Π°Π΄Π°Π½Π½ΠΎΠ³ΠΎ Π½Π°Π±ΠΎΡ€Π° понятий. Показана Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ автоматичСской ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΈ Π·Π½Π°Π½ΠΈΠΉ Π² Ρ€Π°ΠΌΠΊΠ°Ρ… смыслового прСдставлСния Π·Π½Π°Π½ΠΈΠΉ, которая сводится ΠΊ склСиванию синонимичных Π·Π½Π°ΠΊΠΎΠ². Показана Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ автоматичСской ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΠΈ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Π·Π½Π°Π½ΠΈΠΉ, Ссли эти ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²Π»ΡΡŽΡ‚ собой ΠΊΠΎΠ»Π»Π΅ΠΊΡ‚ΠΈΠ²Ρ‹ Π°Π³Π΅Π½Ρ‚ΠΎΠ², ΠΎΡ€ΠΈΠ΅Π½Ρ‚ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Π½Π° ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΡƒ Π·Π½Π°Π½ΠΈΠΉ, прСдставлСнных Π² памяти ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… систСм Π² смысловой Ρ„ΠΎΡ€ΠΌΠ΅, ΠΈ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΠΌΠ΅ΠΆΠ΄Ρƒ собой Ρ‡Π΅Ρ€Π΅Π· ΡƒΠΊΠ°Π·Π°Π½Π½ΡƒΡŽ ΠΏΠ°ΠΌΡΡ‚ΡŒ. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ВСхнологияOSTIS, ориСнтированнаяна Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΡƒ сСмантичСских ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½Ρ‹Ρ… систСм. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π° концСпция ЭкосистСмы OSTIS, ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²Π»ΡΡŽΡ‰Π΅ΠΉ собой ΠΊΠΎΠ»Π»Π΅ΠΊΡ‚ΠΈΠ² Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… систСм, построСнных ΠΏΠΎ Π’Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ OSTIS ΠΈ ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΈΠ²Π°ΡŽΡ‰ΠΈΡ… ΡΠ²ΠΎΠ»ΡŽΡ†ΠΈΡŽ ΠΈ ΡΠΎΠ²ΠΌΠ΅ΡΡ‚ΠΈΠΌΠΎΡΡ‚ΡŒ ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… систСм Π² Ρ…ΠΎΠ΄Π΅ ΠΈΡ… эксплуатации Π² Ρ€Π°ΠΌΠΊΠ°Ρ… Π΄Π°Π½Π½ΠΎΠΉ экосистСмы. РассмотрСны ΠΏΡ€ΠΈΠΌΠ΅Ρ€Ρ‹ использования Π’Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ OSTIS ΠΏΡ€ΠΈ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ΅ ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Π½Ρ‹Ρ… ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… систСм

    A Knowledge Graph Based Integration Approach for Industry 4.0

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    The fourth industrial revolution, Industry 4.0 (I40) aims at creating smart factories employing among others Cyber-Physical Systems (CPS), Internet of Things (IoT) and Artificial Intelligence (AI). Realizing smart factories according to the I40 vision requires intelligent human-to-machine and machine-to-machine communication. To achieve this communication, CPS along with their data need to be described and interoperability conflicts arising from various representations need to be resolved. For establishing interoperability, industry communities have created standards and standardization frameworks. Standards describe main properties of entities, systems, and processes, as well as interactions among them. Standardization frameworks classify, align, and integrate industrial standards according to their purposes and features. Despite being published by official international organizations, different standards may contain divergent definitions for similar entities. Further, when utilizing the same standard for the design of a CPS, different views can generate interoperability conflicts. Albeit expressive, standardization frameworks may represent divergent categorizations of the same standard to some extent, interoperability conflicts need to be resolved to support effective and efficient communication in smart factories. To achieve interoperability, data need to be semantically integrated and existing conflicts conciliated. This problem has been extensively studied in the literature. Obtained results can be applied to general integration problems. However, current approaches fail to consider specific interoperability conflicts that occur between entities in I40 scenarios. In this thesis, we tackle the problem of semantic data integration in I40 scenarios. A knowledge graphbased approach allowing for the integration of entities in I40 while considering their semantics is presented. To achieve this integration, there are challenges to be addressed on different conceptual levels. Firstly, defining mappings between standards and standardization frameworks; secondly, representing knowledge of entities in I40 scenarios described by standards; thirdly, integrating perspectives of CPS design while solving semantic heterogeneity issues; and finally, determining real industry applications for the presented approach. We first devise a knowledge-driven approach allowing for the integration of standards and standardization frameworks into an Industry 4.0 knowledge graph (I40KG). The standards ontology is used for representing the main properties of standards and standardization frameworks, as well as relationships among them. The I40KG permits to integrate standards and standardization frameworks while solving specific semantic heterogeneity conflicts in the domain. Further, we semantically describe standards in knowledge graphs. To this end, standards of core importance for I40 scenarios are considered, i.e., the Reference Architectural Model for I40 (RAMI4.0), AutomationML, and the Supply Chain Operation Reference Model (SCOR). In addition, different perspectives of entities describing CPS are integrated into the knowledge graphs. To evaluate the proposed methods, we rely on empirical evaluations as well as on the development of concrete use cases. The attained results provide evidence that a knowledge graph approach enables the effective data integration of entities in I40 scenarios while solving semantic interoperability conflicts, thus empowering the communication in smart factories
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