scholarly journals Technical Architecture of Enabling Body of Knowledge System for Effective Learning and Information Dissemination

2013 ◽  
Vol 10 (2) ◽  
pp. 41-62
Author(s):  
Liang-Jie Zhang ◽  
Jia Zhang
Keyword(s):  
Information Dissemination ◽  
Service Oriented Architecture ◽  
Heterogeneous Data ◽  
Well Performance ◽  
Services Computing ◽  
Body Of Knowledge ◽  
Urgent Task ◽  
Technical Architecture ◽  
Service Oriented ◽  
Delivery Platform

In the current era of knowledge explosion, many fields are witnessing a tremendous amount of research and practice reported on a regular basis. How to help people effectively and efficiently study state-of-the-art knowledge in a specific field has become an urgent task yet highly challenging. On top of the Internet as an unstructured knowledge base, this paper reports the design and development of a Body of Knowledge portal (BoK), which can be used as a novel learning environment. Leveraging the key technologies of services computing (Web 2.0, Web services and Service-Oriented Architecture), a BoK provides a uniform gateway for researchers and practitioners to seamlessly study and organize knowledge from heterogeneous data sources. A service-oriented knowledge delivery mechanism is key to a BoK centered on configurable delivery protocols. As services computing having evolved as the foundational discipline supporting modern services industry, the authors used the field as an example to illustrate the technical architecture that enables the establishment of BoK in services computing. Information dissemination of BoK on mobile delivery platform is explored as well. Performance data analysis is also reported on the BoK infrastructure.

Knowledge as a Service Framework for Collaborative Data Management in Cloud Environments - Disaster Domain

2016 ◽  
pp. 183-209 ◽  
Author(s):  
Katarina Grolinger ◽  
Emna Mezghani ◽  
Miriam A. M. Capretz ◽  
Ernesto Exposito
Keyword(s):  
Data Management ◽  
Service Oriented Architecture ◽  
Global Scale ◽  
Heterogeneous Data ◽  
Information Gathering ◽  
Current Data ◽  
Cloud Data ◽  
Related Data ◽  
Disaster Data ◽  
Service Oriented

Decision-making in disaster management requires information gathering, sharing, and integration by means of collaboration on a global scale and across governments, industries, and communities. Large volume of heterogeneous data is available; however, current data management solutions offer few or no integration capabilities and limited potential for collaboration. Moreover, recent advances in NoSQL, cloud computing, and Big Data open the door for new solutions in disaster data management. This chapter presents a Knowledge as a Service (KaaS) framework for disaster cloud data management (Disaster-CDM), with the objectives of facilitating information gathering and sharing; storing large amounts of disaster-related data; and facilitating search and supporting interoperability and integration. In the Disaster-CDM approach NoSQL data stores provide storage reliability and scalability while service-oriented architecture achieves flexibility and extensibility. The contribution of Disaster-CDM is demonstrated by integration capabilities, on examples of full-text search and querying services.

Knowledge as a Service Framework for Collaborative Data Management in Cloud Environments - Disaster Domain

Big Data ◽  
2016 ◽  
pp. 588-614 ◽  
Author(s):  
Katarina Grolinger ◽  
Emna Mezghani ◽  
Miriam A. M. Capretz ◽  
Ernesto Exposito
Keyword(s):  
Data Management ◽  
Service Oriented Architecture ◽  
Global Scale ◽  
Heterogeneous Data ◽  
Information Gathering ◽  
Current Data ◽  
Cloud Data ◽  
Related Data ◽  
Disaster Data ◽  
Service Oriented

Decision-making in disaster management requires information gathering, sharing, and integration by means of collaboration on a global scale and across governments, industries, and communities. Large volume of heterogeneous data is available; however, current data management solutions offer few or no integration capabilities and limited potential for collaboration. Moreover, recent advances in NoSQL, cloud computing, and Big Data open the door for new solutions in disaster data management. This chapter presents a Knowledge as a Service (KaaS) framework for disaster cloud data management (Disaster-CDM), with the objectives of facilitating information gathering and sharing; storing large amounts of disaster-related data; and facilitating search and supporting interoperability and integration. In the Disaster-CDM approach NoSQL data stores provide storage reliability and scalability while service-oriented architecture achieves flexibility and extensibility. The contribution of Disaster-CDM is demonstrated by integration capabilities, on examples of full-text search and querying services.

Research on Railway Passenger Service Information System Model of the Smartphone Platform

2012 ◽  
Vol 235 ◽  
pp. 298-302
Author(s):  
Wen Jie Zhang
Keyword(s):  
Information System ◽  
Customer Service ◽  
Service Oriented Architecture ◽  
Heterogeneous Data ◽  
Service Information ◽  
Comprehensive Information ◽  
Integration Program ◽  
The Status ◽  
Service Oriented ◽  
Railway Passenger

Traditional railway passenger services system lacks comprehensive information, and the phone booking system for railway and railway customer service center just starting to use do not guarantee that the information is obtained in real time. For the status quo, proposed a model based on smartphone platforms of railway passenger service information system (RPSIS). Elaborated the SOA characteristic in detail, constructed one overall frame of railroad passenger service information system based on the smartphone platform using Service-oriented architecture systems integration program. Divided into the presentation layer, the business logic layer, the service layer and the integrated application system layer adopting Web service technology. Provided the package on the distributed system and the integration of the heterogeneous data. Finally gave the implementation of the system.

scholarly journals Advances in Flood Early Warning: Ensemble Forecast, Information Dissemination and Decision-Support Systems

Hydrology ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 56
Author(s):  
Haiyun Shi ◽  
Erhu Du ◽  
Suning Liu ◽  
Kwok-Wing Chau
Keyword(s):  
Early Warning ◽  
Information Dissemination ◽  
Service Oriented Architecture ◽  
Flash Flood ◽  
Weather Prediction ◽  
Early Warning Systems ◽  
Ensemble Forecast ◽  
Analytic Hierarchy ◽  
Flood Alert ◽  
Service Oriented

Floods are usually highly destructive, which may cause enormous losses to lives and property. It is, therefore, important and necessary to develop effective flood early warning systems and disseminate the information to the public through various information sources, to prevent or at least mitigate the flood damages. For flood early warning, novel methods can be developed by taking advantage of the state-of-the-art techniques (e.g., ensemble forecast, numerical weather prediction, and service-oriented architecture) and data sources (e.g., social media), and such developments can offer new insights for modeling flood disasters, including facilitating more accurate forecasts, more efficient communication, and more timely evacuation. The present Special Issue aims to collect the latest methodological developments and applications in the field of flood early warning. More specifically, we collected a number of contributions dealing with: (1) an urban flash flood alert tool for megacities; (2) a copula-based bivariate flood risk assessment; and (3) an analytic hierarchy process approach to flash flood impact assessment.

A New Ubiquitous Service Platform for IOT (USPIOT) Implementation Based on SOA

2012 ◽  
Vol 524-527 ◽  
pp. 3788-3791
Author(s):  
Jian Min Bao ◽  
Jin Ping Wang ◽  
Yan Kui Sun
Keyword(s):  
Real Time ◽  
Service Oriented Architecture ◽  
Heterogeneous Data ◽  
Main Memory ◽  
Service Development ◽  
Development Environment ◽  
Service Platform ◽  
Heterogeneous Data Integration ◽  
Virtual View ◽  
Service Oriented

This paper proposed a new ubiquitous service platform for IOT (USPIOT) implementation based on Service-Oriented Architecture (SOA), the platform combines materialized integration with virtual view and realizes real-time collection, real-time main memory database processing to solve the problem such as real-time heterogeneous data integration of different equipments. By providing a service development environment which enables to realize common services description, the USPIOT makes the various service applications and service operations of the IOT extracted, transformed, integrated, and then establishes a stable ubiquitous service implementation environment. The results show that this platform can realize lots of IOT service applications such as the environmental monitor and has a good scalability.

A Middleware Architecture for Secure Service Discovery using Ontologies with Multiagent Approach

2012 ◽  
Vol 3 (1) ◽  
pp. 47-55
Author(s):  
Arup Sarkar ◽  
Ujjal Marjit ◽  
Utpal Biswas
Keyword(s):  
Web Service ◽  
Service Discovery ◽  
Service Oriented Architecture ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Security Measures ◽  
Learning Capability ◽  
Heterogeneous Data Sources ◽  
Service Oriented ◽  
The Rich

Web is a place for information sharing as well as service providing. With the addition of Service Oriented Architecture ensures better reusability, maintainability and flexibility among the heterogeneous data sources. Possibility of a better interoperability within such a heterogeneous data sources is less without further assistance. For better service discovery, these issues must be cleared first. Besides this, security measures also play a key role. By developing a Multiagent based middleware system can resolve all these issues. Further it will add up better communication among the different modules of the system as well as the self learning capability. This paper’s approach is aimed to the development of Multiagent system based middleware architecture for better service discovery, selection and invocation through a secure way without replacing the existing services based on Web Service and Semantic Web Service technologies. The architecture will use ontologies heavily to introduce the rich semantics to the services to provide better meaning understandable by machines.

A Method of Heterogeneous Data Integration Based on SOA

2014 ◽  
Vol 536-537 ◽  
pp. 494-498
Author(s):  
Wen Ming Shuai ◽  
Xiu Fen Fu
Keyword(s):  
Data Integration ◽  
Service Oriented Architecture ◽  
Rapid Development ◽  
Heterogeneous Data ◽  
Integration System ◽  
Heterogeneous Data Integration ◽  
Web Of Data ◽  
Data Integration System ◽  
Service Oriented ◽  
The Web

With the rapid development of information technology, the growth of heterogeneous Web data and the requirements of access to the Web of data also is growing. In view of this, a method of heterogeneous data integration based on SOA(Service-Oriented Architecture) is proposed. This method combines the technology of middleware and SOA design, using XML and Web services technologies, presents a framework of heterogeneous data integration based on SOA, and introduces the architecture of SOA data integration middleware. Experimental results show that this method reduces the coupling of heterogeneous data integration system effectively, and improves the scalability of the system.

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