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Knowledge Reasoning with Semantic Data for Real-Time Data Processing in Smart Factory

Shiyong Wang, Jiafu Wan, Di Li, Chengliang Liu
2018 Sensors  
Then, we propose a scheme to integrate knowledge reasoning and semantic data where the reasoning engine processes the ontology model with real time semantic data coming from the production process.  ...  Author Contributions: Di Li conceived the cloud-assisted and self-organized framework for the smart factory, Chengliang Liu conceived the integrated scheme of knowledge reasoning and semantic data for  ...  The framework for the smart factory is presented in Section 2. Then the knowledge reasoning based on an online real-time data processing method is proposed in Section 3.  ... 
doi:10.3390/s18020471 pmid:29415444 pmcid:PMC5855146 fatcat:63362faijnge7heume7zfjmuka

Knowledge Integration in Smart Factories

Johannes Zenkert, Christian Weber, Mareike Dornhöfer, Hasan Abu-Rasheed, Madjid Fathi
2021 Encyclopedia  
In a Smart Factory, manufacturing systems act largely autonomously on the basis of continuously collected data.  ...  Different organizational structures and processes are supported with the help of appropriate technologies and suitable data processing and integration techniques.  ...  Data Computing/Processing in Smart Factories Smart Factories apply different kinds of computing levels to meet requirements regarding, e.g., real-time processing or big data analysis.  ... 
doi:10.3390/encyclopedia1030061 fatcat:lrkdymzxjfb3zd42y53rfiryvq

Designing Intelligent Factory: Conceptual Framework and Empirical Validation

Syed Imran Shafiq, Gorka Velez, Carlos Toro, Cesar Sanin, Edward Szczerbicki
2016 Procedia Computer Science  
The proposed model has features like experience based knowledge representation and semantic analysis of engineering objects and manufacturing process.  ...  Our model covers the industrial manufacturing cycle right from capturing raw data at machine level, converting it into useful information, doing semantics analysis and performs real time KPI visualization  ...  Semantic Analysis The semantic enhanced intelligent factory model agglutinates the entire reasoning process.  ... 
doi:10.1016/j.procs.2016.09.351 fatcat:llethnfvnjar5nxiy4vvna7dna

Ontology Development for Sensor Networks in the IoT Environment

Haekyung Lee, Taioun Kim
2016 ICIC Express Letters  
The workflow in the smart factory facility is modeled using ontology framework. The proposed model is realized on the Protégé 3.4 platform.  ...  In the modern manufacturing facility with many sensors and devices, the way how to integrate and manage heterogeneous data is crucial.  ...  This research was supported by Kyungsung University Research Grants in 2016.  ... 
doi:10.24507/icicel.10.05.1115 fatcat:2vpfqvnhl5egziirvbwo4zhlha

A Study on Semantic-Based Autonomous Computing Technology for Highly Reliable Smart Factory in Industry 4.0

Kwang-Jin Kwak, Jeong-Min Park
2021 Applied Sciences  
The recent development of smart factory technology has shown results in automation and data acquisition and processing.  ...  Smart factories have made great progress with the development of various ICT technologies, such as IoT, big data, and artificial intelligence.  ...  In accordance with this methodology, necessary technologies for an intelligent smart factory are introduced.  ... 
doi:10.3390/app112110121 fatcat:4mh6iel5bbhbtm2knt66bb3i5m

A Semantic Question Answering through Heterogeneous Data Source in the Domain of Smart Factory

Orçun Oruç
2020 International Journal on Natural Language Computing  
In this study, we propose a semantic question answering that connects with heterogeneous data sources from different areas and devices of a smart factory.  ...  A heterogeneous data source is still problematic for restricted domain question answering due to the nature of unstructured data in manufacturing companies and data-intensive applications in smart factories  ...  ACKNOWLEDGEMENTS This work is funded by the German Research (DFG) within the Research Training Group Role-Based Software Infrastructures for continuous-context-sensitive Systems (GRK 1907).  ... 
doi:10.5121/ijnlc.2020.9403 fatcat:gcknl4k7yfhbbp5fkepycdtbpq

Semantic Web and Knowledge Graphs for Industry 4.0

Muhammad Yahya, John G. Breslin, Muhammad Intizar Ali
2021 Applied Sciences  
Our proposed RGOM can be used to generate a knowledge graph capable of providing answers in response to any real-time query.  ...  Semantic Web including Knowledge Graphs is a promising technology that can play a significant role in realizing I4.0 implementations.  ...  The developed RGOM is a fundamental framework that could be utilized to populate realistic data and test the knowledge graph with an adequately accurate response for any real-time query related to the  ... 
doi:10.3390/app11115110 fatcat:gvmzbbx665dt7p7tm7v5ubqnz4

Information-centric industrial Internet of Things: Service model

Yang Wang, Peng Zeng, Xu Wang, Yangyu Zhang, Fangjun Kuang, Baohui Zhu
2012 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems  
An informational architecture can finally be established using incomplete measurement data and reasoning for large-scale industrial networks.  ...  In this paper, a 7-level network protocol is devised with the service-oriented architecture of a 3-tier hierarchical model.  ...  The feedback loop expands the ontology base with experience data and reasoning values from the knowledge base, which is constantly receiving real-time data from the processing agent and the rule proxy  ... 
doi:10.1109/ccis.2012.6664557 dblp:conf/ccis/WangZWZKZ12 fatcat:jrgmrfdyyvgu7fntv5vxek2gmu

Smart City Architecture and its Applications Based on IoT

Aditya Gaur, Bryan Scotney, Gerard Parr, Sally McClean
2015 Procedia Computer Science  
The proposed architecture is described and explained in terms of its functionality and some real-time context-aware scenarios.  ...  The recent deployment of wireless sensor networks in Smart City infrastructures has led to very large amounts of data being generated each day across a variety of domains, with applications including environmental  ...  Pre-processed RDF data generated at this level will be exploited using semantic knowledge and uncertain reasoning rules in the next level for high-level context-aware information retrieval.  ... 
doi:10.1016/j.procs.2015.05.122 fatcat:f3fmgqxr7bgarlarqmzdfptn6m

Integrated and Personalised Risk Management in the Sensing Enterprise [chapter]

Oscar Lazaro, Agustin Moyano, Mikel Uriarte, Alicia Gonzalez, Teresa Meneu, Juan Carlos, Vicente Traver, Benjamin Molina, Carlos Palau, Oscar Lopez, Etxahun Sanchez, Saioa Ros (+7 others)
2012 Risk Management - Current Issues and Challenges  
The authors wish to acknowledge the CDTI and the Ministry of Innovation for their support. References  ...  Acknowledgement This work has been partly funded by the CDTI through CENIT Project FASyS: Absolutely Safe and Healthy Factory (No. CEN-20091034) .  ...  Therefore, for being able to detect, decide and act in real-time to dynamic risk levels various challenges need to ba addressed in the areas of (a) iindustrial safety reasoning engines (b) Real-time risk  ... 
doi:10.5772/50275 fatcat:h66s4npawnhcjiz7dqe6hzo7x4

A cyber-physical systems approach to cognitive enterprise

Mihnea Alexandru Moisescu, Ioan Stefan Sacala, Ioan Dumitrache, Simona Iuliana Caramihai, Bogdan Barbulescu, Marius Danciuc
2019 Periodicals of Engineering and Natural Sciences (PEN)  
This paper intends to analyses and discuss Cognitive Enterprise enablers and principles considering an approach based on models of human brain perception-reasoning-learning processes.  ...  processing and problem-solving methods.  ...  Therefore, the Intelligent Cyber-Enterprise will be a driver for next knowledge-based economy by integration of smart processes and smart products into a smart environment.  ... 
doi:10.21533/pen.v7i1.378 fatcat:x7ti7lupabhwtbihojqx46o3oe

Semantic-Based Knowledge Dissemination and Extraction in Smart Environments

M. Ruta, F. Scioscia, E. Di Sciascio, D. Rotondi, S. Piccione
2013 2013 27th International Conference on Advanced Information Networking and Applications Workshops  
Logic-based standard and non-standard inference services can be exploited in matchmaking and negotiation for service/resource discovery and on-the-fly reasoning, as well as for large-scale analyses.  ...  The merging of Semantic Web technologies and the Internet of Things is originating the so-called Semantic Web of Things (SWoT), which promises to seamlessly integrate the real and digital worlds, to further  ...  (ii) in semantic stream reasoning for largescale information analyses.  ... 
doi:10.1109/waina.2013.249 dblp:conf/aina/RutaSSRP13 fatcat:d43rbifwmvd2dpjvegte4dxs5e

Secure Communication and Data Processing Challenges in the Industrial Internet

Andrei Gurtov, Madhusanka Liyanage, Dmitry Korzun
2016 Baltic Journal of Modern Computing  
Collecting, pre-processing, storing and analyzing such real-time data is a complex task with stringent demands on communication intelligence, QoS and security.  ...  In this paper we outline some challenges facing the Industrial Internet, namely integration with 5G wireless networks, Software Defined Machines, ownership and smart processing of digital sensor data.  ...  Education and Science of Russia within project # 14.574.21.0060 (RFMEFI57414X0060) of Federal Target Program "Research and development on priority directions of scientific-technological complex of Russia for  ... 
doi:10.22364/bjmc.2016.4.4.28 fatcat:stcr33l65rhhpcm7x5zplbu4ta

SESAME-S: Semantic Smart Home System for Energy Efficiency

Anna Fensel, Slobodanka Tomic, Vikash Kumar, Milan Stefanovic, Sergey V. Aleshin, Dmitry O. Novikov
2012 Informatik-Spektrum  
The SESAME-S project (SEmantic SmArt Metering -Services for Energy Efficient Houses) uses semantically linked data to actively assist end-consumers in making well-informed decisions and controlling their  ...  As the urgent need for efficient and sustainable energy usage becomes ever more apparent, interest in Smart Homes is on the rise.  ...  of Applied Sciences and Semantic Web Company GmbH (Austria).  ... 
doi:10.1007/s00287-012-0665-9 fatcat:6vglm6sy4fhmtahlqryv6kcofy

MaXCept -- Decision Support in Exception Handling through Unstructured Data Integration in the Production Context: An Integral Part of the Smart Factory

Laura Bernadette Kassner, Bernhard Mitschang
2015 2015 48th Hawaii International Conference on System Sciences  
Real-time integrated analytics is especially beneficial in a production context.  ...  Today, data from different sources and different phases of the product life cycle are usually analyzed in isolation and with considerable time delay.  ...  data mining on real-time process data without preselected sentinel values.  ... 
doi:10.1109/hicss.2015.124 dblp:conf/hicss/KassnerM15 fatcat:2tcvafw7brhgrattd2rxzinmbq
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