Research on Knowledge Service Oriented Expert Management System

2014 ◽  
Vol 519-520 ◽  
pp. 1568-1571
Author(s):  
Su Yan Wu ◽  
Wen Bo Li
Keyword(s):  
Management System ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Access To Information ◽  
Retrieval Method ◽  
Knowledge Service ◽  
On Demand ◽  
Heterogeneous Data Sources ◽  
Service Oriented ◽  
Demand Service

The distinctive characteristics of knowledge service oriented expert management system needs to have instant, on-demand service, accurate service, comprehensive services, and personalized service. In order to meet the requirements of the establishment of this system, this paper studied the construction of expert resources and expert retrieval services , and The crowdsourcing technology-based open expert body build, experts of different heterogeneous data sources access to information based expert body interaction semantics expert retrieval method

PO-0933: A centralized data management system of heterogeneous data sources for radiation therapy

2014 ◽  
Vol 111 ◽  
pp. S120
Author(s):  
O. Diesenbacher ◽  
M. Memelink ◽  
F. Sedlmayer ◽  
H. Deutschmann ◽  
P. Steininger
Keyword(s):  
Radiation Therapy ◽  
Data Management ◽  
Management System ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Data Management System ◽  
Heterogeneous Data Sources

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.

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

scholarly journals Prediction of RNA subcellular localization: learning from heterogeneous data sources

iScience ◽  
2021 ◽  
pp. 103298
Author(s):  
Anca Flavia Savulescu ◽  
Emmanuel Bouilhol ◽  
Nicolas Beaume ◽  
Macha Nikolski
Keyword(s):  
Subcellular Localization ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Heterogeneous Data Sources
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