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DaltOn: An Infrastructure for Scientific Data Management [chapter]

Stefan Jablonski, Olivier Curé, M. Abdul Rehman, Bernhard Volz
2008 Lecture Notes in Computer Science  
In order to deal with these issues in a systematic and well structured way, we propose a sophisticated framework based on process modeling.  ...  This aspect usually confronts end-users with data management issues which involve the transportation of data from one system to another as well as the syntactic and semantic integration of data, i.e. data  ...  Data perspective of the POPM approach is implemented by DaltOn (Data Logistics and Ontology based integration).  ... 
doi:10.1007/978-3-540-69389-5_59 fatcat:riapwhhk3ngctmum4n3ckq2vgq

Architecture of the DaltOn Data Integration System for Scientific Applications

Stefan Jablonski, Olivier Cur, M. Abdul Rehman, Bernhard Volz
2008 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGRID)  
Based on the perspective oriented process modeling paradigm (POPM), we propose a sophisticated framework named DaltOn (Data Logistics and Ontology based integration) which is responsible for implementing  ...  SI deals with data integration using (semantic) mediation mechanism based on ontologies.  ... 
doi:10.1109/ccgrid.2008.34 dblp:conf/ccgrid/JablonskiCRV08 fatcat:3dhascbbk5fpdcshlaxnbznbke

Process Based Data Logistics: Data Integration for Healthcare Applications

Stefan Jablonski
2006 European Conference on eHealth  
Data integration in medicalapplicationsisacrucial and sensitivetask.  ...  We have developed ap rocess based datal ogistic approach that is coping with theser equirements.  ...  Data Logistics In this sectionw ep resentt he data logistics approach.  ... 
dblp:conf/eceh/Jablonski06 fatcat:cmym6ozqpvg63chek75bdj3fqm

Distributed execution of aggregated multi domain workflows using an agent framework

Zhiming Zhao, Adam Belloum, Cees de Laat, Pieter Adriaans, Bob Hertzberger
2007 2007 IEEE Congress on Services (Services 2007)  
An agent framework uses ontology based communication language and makes the integration to semantic information of resources seamless, it is thus suitable for coupling distributed engines.  ...  In e-Science, meaningful experiment processes and workflow engines emerge as important scientific resources.  ...  Acknowledgment This work was carried out in the context of the Virtual Laboratory for e-Science project ( Part of this  ... 
doi:10.1109/services.2007.30 dblp:conf/IEEEscc/ZhaoBLAH07 fatcat:t6de36zisfcb5csa6ccehokcoi

Exploring Ontology-driven Modeling Approach for Multi-agent Cooperation in Emergency Logistics

Li Zhang, Dali Jiang, Youjun Zeng, Yahui Ning, Qianzhu Wang
2014 Journal of Computers  
An extended ontology model with OWL format is designed in an illustrative example to represent a distribution routing problem in the relief work of 2008 Wenchuan Earthquake in China, and a rule-based intelligent  ...  This study aims at applying ontology-based modeling approach to clearly represent the emergency logistics knowledge for decision optimization and multi-agent cooperation.  ...  From the above-mentioned literature review, it shows that multi-agent technique is suitable for distributed problem solving, and that ontology-driven approach can integrate heterogeneous data with a common  ... 
doi:10.4304/jcp.9.2.285-294 fatcat:yuue67j7undifa3ikf6saptpji

A Study on Construction of Domain Ontology in Third-party Logistics
제3자 물류 환경에서 도메인 온톨로지 구축

Li Gao, Jin-Gwang Koh, Si-Yeong Bae, Hyun-Chang Lee, Hyun-Ho Choi
2011 Journal of the Korea Society of Computer and Information  
Then we design the intelligent system for 3PL Enterprises Distribution Center based on Logistics Ontology and Logistics Rules. At final, we give an example to show the workflow visually.  ...  We built the logistics ontology with protégé, and translate it in OWL. We also built the rules for Logistics Ontology to improve the limitations of the OWL.  ...  In that case interact and share of the data can be i mplemented in an integrated environment.  ... 
doi:10.9708/jksci.2011.16.4.235 fatcat:ovzac5y5sbakrg57pfd2u7ghre

Semantic based Data Integration in Scientific Workflows

M. Abdul, Jamil Ahmed, Ahmed Waqas, Ajmal Sawand
2017 International Journal of Advanced Computer Science and Applications  
This paper presents a semantic data integration framework which is based on the exploitation of ontologies.  ...  Besides an indepth discussion of the ontology-based integration capability, the paper also discusses a brief overview of the system architecture and its application in a real world scenario taken from  ...  In recent years many scientific workflow systems like Kepler [8] , Taverna [9] and Triana [10] have come up with the capability to integrate scientific data based on ontologies.  ... 
doi:10.14569/ijacsa.2017.080742 fatcat:gguw7uvsmnblzcr2sw55zpl2m4

Ontology-based transfer learning in the airport and warehouse logistics domains

Miriam Herold, Mirjam Minor
2019 International Conference on Case-Based Reasoning  
In the first step we automatically transform BPMN files from these two domains in two separate ontologies. In the next step we intend to use ontology mapping as a means for the transfer.  ...  We outline our ideas on workflows from two specific contexts: passenger and baggage logistics at the airport on one hand and warehouse management logistics on the other hand.  ...  Acknowledgement We would like to thank Jan Höcher for his support in the development of tools described in the third section.  ... 
dblp:conf/iccbr/HeroldM19 fatcat:5keavsyrtvejjofti7cfviae7m

Semantic Context Consolidation and Rule Learning for Optimized Transport Assignments in Hospitals [chapter]

Femke Ongenae, Pieter Bonte, Jeroen Schaballie, Bert Vankeirsbilck, Filip De Turck
2016 Lecture Notes in Computer Science  
Additionally, it learns semantic rules based on historical data in order to avoid future delays in transportation time.  ...  The increase of ICT infrastructure in hospitals offer opportunities for cost reduction by optimizing workflows, while maintaining quality of care.  ...  The Context Layer consolidates and links the heterogeneous context data provided by the EAI Application by using an ontology. This semantic data is stored in a triple store.  ... 
doi:10.1007/978-3-319-47602-5_19 fatcat:tbblozgwdzesffyh3agbradibu

Semantically Enabling the SEMAT Project: Extending Marine Sensor Networks for Decision Support and Hypothesis Testing

Trina Myers, Ian Atkinson, Ron Johnstone
2010 2010 International Conference on Complex, Intelligent and Software Intensive Systems  
Remote monitoring networks in remote marine locations are logistically challenging.  ...  The SEMAT project is a multi-institution/multidiscipline program developing advanced wireless sensor networks to collect, store, process and interpret data in coastal systems.  ...  Data presentation and storage is initially in both SQL relational database and triplestore platforms. Ontologies, employed via the workflows, will reside at a higher layer for data integration.  ... 
doi:10.1109/cisis.2010.46 dblp:conf/cisis/MyersAJ10 fatcat:raerdh2xjfclldqfvei5tpuygm

A Service-oriented, Semantic Approach to Data Integration for an Internet of Things Supporting Autonomous Cooperating Logistics Processes [chapter]

Karl A. Hribernik, Carl Hans, Christoph Kramer, Klaus-Dieter Thoben
2011 Architecting the Internet of Things  
It subsequently proposes a service-oriented, ontology-based mediation approach to data integration for an Internet of Things supporting autonomous cooperating logistics processes.  ...  in the field of autonomous cooperating logistics processes.  ...  Acknowledgments This research was supported by the German Research Foundation (DFG) as part of the Collaborative Research Centre 637 "Autonomous Cooperating Logistic Processes".  ... 
doi:10.1007/978-3-642-19157-2_6 fatcat:zvznsxank5f4zefouhbtai73gm

PhD Colloquium on Generation and Application of Biomedical Knowledge Graphs [article]

Charles Tapley Hoyt
2019 Figshare  
Drug Target Prediction and Repositioning Using an Integrated Network-Based Approach. PLoS ONE, 8(4).  ...  Drug Target Prediction and Repositioning Using an Integrated Network-Based Approach. PLoS ONE, 8(4).  ...  Node2vec Return parameter (p) the probability of revisiting nodes in a walk In/out parameter (q) the probability of visiting nodes connected to the previous node Edge2vec • Calculate edge-edge conditional  ... 
doi:10.6084/m9.figshare.11306915 fatcat:7mfpnzr6yjbq7hnfaehiezzd5q

Changing Business Information Systems for Innovative Configuration Processes

Alexander V. Smirnov, Alexey M. Kashevnik, Nikolay Shilov, Andreas Oroszi, Mario Sinko, Thorsten Krebs
2015 Business Information Systems  
This is one of the reasons for component manufacturers to offer not only separate products and components but also whole integrated solutions to their customers.  ...  The dynamic globalized markets cause an increase of competition and require companies to perform strategic changes in their business processes.  ...  Developed integrated knowledge management workflow In addition to the data mentioned in the picture technical data should be used in the configuration process and product selection process.  ... 
dblp:conf/bis/SmirnovKSOSK15 fatcat:r6atcnad7febnpqu4rsn27n7si

Decision support systems for adoption in dental clinics: A survey

Wee Pheng Goh, Xiaohui Tao, Ji Zhang, Jianming Yong
2016 Knowledge-Based Systems  
in the workflow of a dentist.  ...  A survey of current systems found that although there are systems that suggest treatment options, there is no real-time integration with other knowledge bases.  ...  We are also grateful to Ms Elizabeth Goh for her efforts in the editing and proofreading of this manuscript.  ... 
doi:10.1016/j.knosys.2016.04.022 fatcat:24khwoqel5hgtaxskoxjm2u3wu

The Impact of Ontology on the Prediction of Cardiovascular Disease Compared to Machine Learning Algorithms

Hakim El Massari, Noreddine Gherabi, Sajida Mhammedi, Hamza Ghandi, Mohamed Bahaj, Muhammad Raza Naqvi
2022 International Journal of Online and Biomedical Engineering (iJOE)  
Various machine learning approaches, including ontology-based Machine Learning techniques, have lately played an essential role in medical science by building an automated system that can identify heart  ...  This paper compares and reviews the most prominent machine learning algorithms, as well as ontology-based Machine Learning classification.  ...  In reality, no single ontology is sufficient to meet today's expanding healthcare demands, and ontologies must be combined with machine learning algorithms to facilitate data integration and analysis.  ... 
doi:10.3991/ijoe.v18i11.32647 fatcat:teuczoo3wngj3pl2wkldqnbr5i
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