Semantic mediation of observation datasets through Sensor Observation Services

2017 ◽  
Vol 67 ◽  
pp. 47-56 ◽  
Author(s):  
Manuel A. Regueiro ◽  
José R.R. Viqueira ◽  
Christoph Stasch ◽  
José A. Taboada
Keyword(s):  
2018 ◽  
Vol 11 (4) ◽  
pp. 87-98
Author(s):  
Abdullah Alamri

Healthcare systems have evolved to become more patient-centric. Many efforts have been made to transform paper-based patient data to automated medical information by developing electronic healthcare records (EHRs). Several international EHRs standards have been enabling healthcare interoperability and communication among a wide variety of medical centres. It is a dual-model methodology which comprises a reference information model and an archetype model. The archetype is responsible for the definition of clinical concepts which has limitations in terms of supporting complex reasoning and knowledge discovery requirements. The objective of this article is to propose a semantic-mediation architecture to support semantic interoperability among healthcare organizations. It provides an intermediate semantic layer to exploit clinical information based on richer ontological representations to create a “model of meaning” for enabling semantic mediation. The proposed model also provides secure mechanisms to allow interoperable sharing of patient data between healthcare organizations.


2013 ◽  
Vol 849 ◽  
pp. 298-301
Author(s):  
Gui Yang Jin ◽  
Fu Zai Lv ◽  
Zhan Qin Xiang

Modern enterprises consist of complex business systems. These systems need to be integrated to support enterprises operation. The SOA and ESB become an important enterprise integration architecture style for designing and implementing integration systems. But there are some limitations of todays ESB framework, such as only syntactic description of service interface, inability to perform semantic mediation and incapable process knowledge management. Therefore developers need deep and intimate knowledge to develop integration systems. We introduce an ontology-based semantic annotation approach to enrich and reconcile semantics of data, services and process models on ESB that enables data, service and process models interoperability on the semantic level through common domain ontologies.


2015 ◽  
Vol 20 (2) ◽  
pp. 163-171 ◽  
Author(s):  
E. Navarrete ◽  
A. Caccaro ◽  
F. Pavani ◽  
B. Z. Mahon ◽  
F. Peressotti

2014 ◽  
Vol 4 (6) ◽  
pp. 858-862
Author(s):  
Amina Benosman ◽  
Mohammed Amine Chikh ◽  
Ladjel Bellatreche

2008 ◽  
Vol 2 (3) ◽  
pp. 147-162 ◽  
Author(s):  
Jacquie Kurland ◽  
Carlos R. Cortes ◽  
Marko Wilke ◽  
Anne J. Sperling ◽  
Susan N. Lott ◽  
...  

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