Understanding Data Heterogeneity in the Context of Cyber-Physical Systems Integration
IEEE Transactions on Industrial InformaticsPublished 28 July 2016
Václav Jirkovský, Marek Obitko, Vladimı́r Mařı́k
Citations147
SJR quartileQ1
SJR score3.42
SNIP3.22
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
Various types of heterogeneity with emphasis to a semantic heterogeneity are described and the implementation of the semantic heterogeneity reduction with the focus on using Semantic Web technologies for a data integration is introduced.
Abstract
The current gradual adoption of the Industry 4.0 is the research trend that includes more intensive utilization of cyber-physical systems (CPSs). The computerization of manufacturing will bring many advantages but it is needed to face the heterogeneity problem during an integration of various CPSs for enabling this progress. In this paper, we describe various types of heterogeneity with emphasis to a semantic heterogeneity. The CPSs integration problem is classified into two different challenges. Next, we introduce the approach and the implementation of the semantic heterogeneity reduction with the focus on using Semantic Web technologies for a data integration. Then, the Big Data approach is described for facilitating the implementation. Finally, the possible solution is demonstrated on our proposed semantic Big Data historian.
Keywords
Computer ScienceBusiness, Management and AccountingEngineering
IEEE Transactions on Industrial InformaticsInternet of Things in Industries: A Survey
4,924 Citations2014Li Da Xu, Wu He +1 more
This review paper summarizes the current state-of-the-art IoT in industries systematically and identifies research trends and challenges.
ACM Computing SurveysA comparative analysis of methodologies for database schema integration
1,743 Citations1986Carlo Batini, Maurizio Lenzerini +1 more
The aim of the paper is to provide first a unifying framework for the problem of schema integration, then a comparative review of the work done thus far in this area, providing a basis for identifying strengths and weaknesses of individual methodologies, as well as general guidelines for future improvements and extensions.
ACM SIGMOD RecordSemantic integration
1,020 Citations2004Natalya F. Noy
The goal of the paper is to provide a reader who may not be very familiar with ontology research with introduction to major themes in this research and with pointers to different research projects.
Big Data analytics
762 Citations2012Sachchidanand Singh, Nirmala Singh
This analysis illustrates that the Big Data analytics is a fast-growing, influential practice and a key enabler for the social business and is critical for success in the age of social media.
Ontology Matching
397 Citations2013Jérôme Euzenat, Pavel Shvaiko
The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content.
Proceedings of the IEEEToward a Science of Cyber–Physical System Integration
320 Citations2011János Sztipanovits, Xenofon Koutsoukos +7 more
A passivity-based design approach that decouples stability from timing uncertainties caused by networking and computation is presented, and cross-domain abstractions that provide effective solution for model-based fully automated software synthesis and high-fidelity performance analysis are described.
IEEE Transactions on Industrial InformaticsIntegration of Distributed Enterprise Applications: A Survey
294 Citations2012Wu He, Li Da Xu
The architectures and technologies for integrating distributed enterprise applications are examined, their strengths and weaknesses are illustrated, and research trends and opportunities are identified in this increasingly important area.
DSpace@MIT (Massachusetts Institute of Technology)Representing and reasoning about semantic conflicts in heterogeneous information systems
216 Citations1997Cheng Hian Goh, Stuart Madnick
This Thesis shows that the scCOIN framework provides a well-founded basis for reasoning about semantic disparities in heterogeneous systems, and combines the best features of loose- and tight-coupling approaches in defining an integration strategy that is scalable, extensible and accessible.
Elsevier eBooksSo Far (Schematically) yet So Near (Semantically)
211 Citations1993Amit Sheth, Vipul Kashyap
This paper first defines the concept of semantic proximity and provides a semantic taxonomy, and enumerate and classify the schematic and data conflicts.
IEEE Transactions on Industrial InformaticsUser Interoperability With Heterogeneous IoT Devices Through Transformation
148 Citations2014Guangyi Xiao, Jingzhi Guo +2 more
A user interoperability framework (UIF) is devises to enable device users to interoperate with heterogeneous devices of different contexts with consistent syntax and semantics to enable the development of Internet of Things.
International Journal of Cooperative Information SystemsAN APPROACH TO RESOLVING SEMANTIC HETEROGENEITY IN A FEDERATION OF AUTONOMOUS, HETEROGENEOUS DATABASE SYSTEMS
132 Citations1993Joachim Hammer, Dennis McLeod
An approach to accommodating semantic heterogeneity in a federation of interoperable, autonomous, heterogeneous databases is presented and a mechanism is described for identifying and resolving semantic heterogeneity while at the same time honoring the autonomy of the database components that participate in the federation.
Lecture notes in computer scienceOntoGen: Semi-automatic Ontology Editor
108 Citations2007Blaž Fortuna, Marko Grobelnik +1 more
A semi-automatic ontology editor as implemented in a new version of OntoGen system that integrates machine learning and text mining algorithms into an efficient user interface lowering the entry barrier for users who are not professional ontology engineers.
IEEE Transactions on Industrial InformaticsAnalyzing Cyber-Physical Energy Systems:The INSPIRE Cosimulation of Power and ICT Systems Using HLA
107 Citations2014Hanno Georg, Sven Müller +2 more
The novel cosimulation environment INSPIRE of power and ICT systems for Real-time Evaluation using the high-level architecture (HLA) (IEEE Std. 1516-2010) is presented to enhance interoperability, and to develop and validate solutions close to practice.
IEEE Transactions on Industrial InformaticsDesign and Implementation of a Service-Oriented Architecture for the Optimization of Industrial Applications
101 Citations2013Alina Gîrbea, Constantin Suciu +2 more
A novel architecture for the field of industrial automation is described and is able to efficiently control and monitor a real manufacturing process according to an optimized schedule with over 99% of the time spent on the manufacturing.
Lecture notes in computer scienceAn Evaluation of Triple-Store Technologies for Large Data Stores
99 Citations2007Kurt Rohloff, Mike Dean +3 more
This paper presents a comparison of performance of various triple-store technologies currently in either production release or beta test and finds that over the test regimen, the triple-stores based on the DAML DB and BigOWLIM technologies exhibit the best performance among the double-stores tested.
Towards the Next Generation of Industrial Cyber-Physical Systems
83 Citations2014Armando Walter Colombo, Stamatis Karnouskos +1 more
This chapter introduces cloud-based industrial CPS and describes the first results of making it a reality for the Next Generation SOA-based SCADA/DCS systems.
Lecture notes in computer scienceBig Data Semantics in Industry 4.0
58 Citations2015Marek Obitko, Václav Jirkovský
This paper describes the Semantic Big Data Historian that is intended to handle large volumes of heterogeneous data gathered from distributed data sources, with a special focus on using Semantic Web technologies for integrating the data.
IEEE Transactions on Industrial InformaticsSemantic-Based Resource Discovery and Orchestration in Home and Building Automation: A Multi-Agent Approach
55 Citations2013Michèle Ruta, Floriano Scioscia +2 more
A power-management problem in HBA is presented as a case study to better clarify the proposal and assess its effectiveness and a more flexible multi-agent approach, leveraging semantic-based resource discovery and orchestration for HBA applications is proposed.
IEEE Transactions on Industrial InformaticsRobust Path Diversity for Network Quality of Service in Cyber-Physical Systems
43 Citations2014Kyung‐Joon Park, Jaemin Kim +2 more
A robust path selection algorithm, which exploits multipath diversity for providing robust network performance against intrinsic randomness in delay, and empirically shows that the proposed scheme can provide the required network quality of service (QoS) for system robustness.
IEEE Transactions on Industrial InformaticsSignage System for the Navigation of Autonomous Robots in Indoor Environments
42 Citations2013Ana Corrales Paredes, María Malfáz +1 more
This paper presents a RFID-based signage system, which has been developed to guide and give important information to an autonomous robot and it has been successfully proved in the autonomous and social robot Maggie.
IEEE Transactions on Industrial InformaticsReal-Time Misbehavior Detection and Mitigation in Cyber-Physical Systems Over WLANs
41 Citations2015Xianghui Cao, Lu Liu +4 more
Novel real-time and light-weight countermeasures including a hybrid-share misbehavior detector and a packet-dropping-based misbehavior mitigation mechanism for IEEE 802.11e-based CPS are proposed.
Hybrid Ontology Integration for Distributed System
10 Citations2007Ye Liang, Hong Bao +1 more
A hybrid ontology integration framework with emphasis is the mapping of local database schema and local ontology and the integration of local ontologies and global ontology and the integration of local ontologies and global ontology.