SDO Based Data Integration Solution for Civil Aviation Information System

2009 ◽  
Author(s):  
Xudong Li ◽  
Wenpu Huang ◽  
Tao Xu ◽  
Chunxia Zhang
Keyword(s):  
Information System ◽  
Data Integration ◽  
Civil Aviation

scholarly journals DBE2 – Management of experimental data for the VANTED system

2011 ◽  
Vol 8 (2) ◽  
pp. 85-94
Author(s):  
Hendrik Mehlhorn ◽  
Falk Schreiber
Keyword(s):  
Experimental Data ◽  
Information System ◽  
Data Integration ◽  
Data Management ◽  
Data Storage ◽  
Controlled Vocabulary ◽  
Biological Experiment ◽  
Experiment Data ◽  
Measurement Units ◽  
Persistent Data

Summary DBE2 is an information system for the management of biological experiment data from different data domains in a unified and simple way. It provides persistent data storage, worldwide accessibility of the data and the opportunity to load, save, modify, and annotate the data. It is seamlessly integrated in the VANTED system as an add-on, thereby extending the VANTED platform towards data management. DBE2 also utilizes controlled vocabulary from the Ontology Lookup Service to allow the management of terms such as substance names, species names, and measurement units, aiming at an eased data integration.

scholarly journals DATA INTEROPERABILITY OF BUILDING INFORMATION MODELING AND GEOGRAPHIC INFORMATION SYSTEM IN CONSTRUCTION INDUSTRY

2021 ◽  
Vol XLVI-4/W4-2021 ◽  
pp. 111-117
Author(s):  
W. N. F. W. A. Basir ◽  
U. Ujang ◽  
Z. Majid ◽  
S. Azri
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Data Integration ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Construction Project ◽  
Information Modeling ◽  
Data Interoperability ◽  
Data Standard ◽  
Building Information

Abstract. Application of Building Information Modeling (BIM) in construction industry has been applied for many years back. This because BIM can provide a better advantage in construction industry in term of controlling and managing construction project during their life cycle. The advantages that can be provide by BIM is focusing on the indoor planning tasks. But, when the construction project involves, besides indoor planning, outdoor planning also is important part that need to be look up. To cover the outdoor planning in construction project, Geographic Information System (GIS) need to be applied. GIS can overcome this problem because GIS mainly for outdoor planning by using their spatial analysis. GIS can offer a high degree of geospatial information and can provide the detailed geometrical and semantic information of building to assisted across improve automation. Towards produce the improved preparation in construction project, BIM and GIS should be integrated. To integrate both domains, the data interoperability between them need to be investigate because they used different data standard. This study focusses on solving the data interoperability through the data integration between BIM and GIS to solve the problem of data mismatch and data missing during data translation process. Industry Foundation Classes (IFC) was used as a data standard to perform the data integration between BIM and GIS. The outcomes from this study show that when the data interoperability applied between BIM and GIS, the problem above can be solved, and the data dimension and their coordinate system also can be control.

scholarly journals UNIVERSITY IS ARCHITECTURE FOR THE RESEARCH EVALUATION SUPPORT

2017 ◽  
Vol 2 ◽  
pp. 112 ◽  
Author(s):  
Laila Niedrite ◽  
Darja Solodovnikova
Keyword(s):  
Information System ◽  
Data Integration ◽  
Data Quality ◽  
Research Evaluation ◽  
Common View ◽  
Research Activities ◽  
Data Integration System ◽  
Computation Formula ◽  
Integration Problems ◽  
Different Sources

The measuring of research results can be used in different ways e.g. for assignment of research grants and afterwards for evaluation of project’s results. It can be used also for recruiting or promoting research institutions’ staff. Because of a wide usage of such measurement, the selection of appropriate measures is important. At the same time there does not exist a common view which metrics should be used in this field, moreover many existing metrics that are widely used are often misleading due to different reasons, e.g. computed from incomplete or faulty data, the metric’s computation formula may be invalid or the computation results can be interpreted wrongly. To produce a good framework for research evaluation, the mentioned problems must be solved in the best possible way by integrating data from different sources to get comprehensive view of academic institutions’ research activities and to solve data quality problems. We will present a data integration system that integrates university information system with library information system and with data that are gathered through API from Scopus and Web of Science databases. Data integration problems and data quality problems that we have faced are described and possible solutions are presented. Metrics that are defined and computed over these integrated data and their analysis possibilities are also discussed.

Critical Aviation Information Systems

2019 ◽  
pp. 423-448 ◽  
Author(s):  
Sergiy Gnatyuk ◽  
Zhengbing Hu ◽  
Viktoriia Sydorenko ◽  
Marek Aleksander ◽  
Yuliia Polishchuk ◽  
...  
Keyword(s):  
Information System ◽  
Information Systems ◽  
Data Model ◽  
State Level ◽  
Information Infrastructure ◽  
The State ◽  
Civil Aviation ◽  
Critical Information ◽  
Special Software ◽  
Specialized Technique

This chapter is devoted to developing formalization methods for identification and security objects of critical information infrastructure (CII) in civil aviation. The analysis of modern approaches to the CII identification was carried out that gave a possibility to determine weaknesses and to formalize a scientific researches task. As a result, the unified data model was developed for formalizing the process of a list of CII objects forming in certain field and at the state level. Moreover, the specialized technique was developed. Besides, the identification method was proposed, and it gives a possibility to determine elements of CII field, mutual influences, and influence on functional operations of critical aviation information system. Furthermore, special software was developed and implemented that can be useful for CII elements identification and also for determining its influences on functional operations. Also, the basic aspects of cybersecurity ensuring for identified critical aviation information system were described in this chapter.

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