The Research of Integration Technology of Heterogeneous Data Sources on Campus

2012 ◽  
Vol 160 ◽  
pp. 234-239
Author(s):  
Xiao Xiao Liang
Keyword(s):  
Information Technology ◽  
Information System ◽  
Information Systems ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Key Technology ◽  
Integration Technology ◽  
Heterogeneous Data Sources ◽  
Data Source Integration ◽  
Data Source

With the deeply development of campus information technology, it needs to store and manage vast amounts of information. However, the information is often stored in different structures of information systems, how to achieve the integration of heterogeneous data sources is the problem to be solved in university information system. In this article, the most commonly used integration technology of heterogeneous data sources is described, and then data source integration patterns which could be used in campus are studied, the design of XML-based integration of heterogeneous data sources and some key technology are in-depth studied.

scholarly journals Domain/Mapping Model: A Novel Data Warehouse Data Mode

2017 ◽  
Vol 12 (2) ◽  
pp. 166 ◽  
Author(s):  
Ivan Bojicic ◽  
Zoran Marjanovic ◽  
Nina Turajlic ◽  
Marko Petrovic ◽  
Milica Vuckovic ◽  
...  
Keyword(s):  
Data Warehouse ◽  
Data Model ◽  
Heterogeneous Data ◽  
Physical Structure ◽  
Data Sources ◽  
Mapping Model ◽  
Heterogeneous Data Sources ◽  
Domain Mapping ◽  
Source Models ◽  
Data Source

In order for a data warehouse to be able to adequately fulfill its integrative and historical purpose, its data model must enable the appropriate and consistent representation of the different states of a system. In effect, a DW data model, representing the physical structure of the DW, must be general enough, to be able to consume data from heterogeneous data sources and reconcile the semantic differences of the data source models, and, at the same time, be resilient to the constant changes in the structure of the data sources. One of the main problems related to DW development is the absence of a standardized DW data model. In this paper a comparative analysis of the four most prominent DW data models (namely the relational/normalized model, data vault model, anchor model and dimensional model) will be given. On the basis of the results of [1]a, the new DW data model (the Domain/Mapping model- DMM) which would more adequately fulfill the posed requirements is presented.

Research on the Expert System for Sweet Corn Standard Production Based on Heterologous Data Integration Technology

2013 ◽  
Vol 655-657 ◽  
pp. 1730-1733
Author(s):  
Lin Peng ◽  
Qiang Zheng ◽  
Zhao Rong Liu
Keyword(s):  
Expert System ◽  
Data Integration ◽  
Data Management ◽  
Sweet Corn ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Integration Technology ◽  
Shared Data ◽  
Heterogeneous Data Sources ◽  
Standard Production

To better share agricultural information in existed agricultural informatization condition, and to meet agro-departments new needs about local self-governed and global shared data management during standardized production of the sweet corn, this paper provides a method of integrated sharing of heterogeneous data sources to apply to standardized product of the sweet corn. This method solves the data integration and sharing problems during standardized production of the sweet corn. In this paper, the expert system for sweet corn standard production which is ability to combine heterogeneous data is constructed. This system is proved to be reliable, perform well and it is easy to operate.

A relational data harmonization approach to XML

2009 ◽  
Vol 35 (5) ◽  
pp. 571-601 ◽  
Author(s):  
Timo Niemi ◽  
Turkka Näppilä ◽  
Kalervo Järvelin
Keyword(s):  
Information Needs ◽  
Ad Hoc ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Similar Data ◽  
Xml Data ◽  
Processing Style ◽  
Heterogeneous Data Sources ◽  
Autonomous Data Sources ◽  
Data Source

There are numerous approaches for integrating data from heterogeneous data sources. A common background assumption is that the data sources remain quite stable and are known in advance. Hence an integration system can be built to manipulate them. In practice there is, however, often a demand for supporting ad hoc information needs concerning unexpected autonomous data sources containing volatile data. A different approach is therefore needed. We propose that semantically similar data are harmonized when extracting data from XML-based data sources. We introduce a constructor algebra, which is a powerful tool in the harmonization of XML data. This algebra is able to form for any XML data source a unique relational representation, called an XML relation. We demonstrate that the XML relation representation supports grouping and aggregation of data needed, for example, in OLAP (online analytical processing) -style applications.

scholarly journals Accessible Routes Integrating Data from Multiple Sources

2020 ◽  
Vol 10 (1) ◽  
pp. 7
Author(s):  
Miguel R. Luaces ◽  
Jesús A. Fisteus ◽  
Luis Sánchez-Fernández ◽  
Mario Munoz-Organero ◽  
Jesús Balado ◽  
...  
Keyword(s):  
Information System ◽  
Data Model ◽  
Large Scale ◽  
Heterogeneous Data ◽  
Multiple Sources ◽  
Heterogeneous Data Sources ◽  
Different Types ◽  
Software Sensors ◽  
The City

Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain).

scholarly journals A multi-agent conversational system with heterogeneous data sources access

2016 ◽  
Vol 53 ◽  
pp. 172-191 ◽  
Author(s):  
Eduardo M. Eisman ◽  
María Navarro ◽  
Juan Luis Castro
Keyword(s):  
Heterogeneous Data ◽  
Data Sources ◽  
Heterogeneous Data Sources ◽  
Multi Agent
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