Using Semantic Web Tools to Integrate Experimental Measurement Data on Our Own Terms

2006 ◽  
pp. 679-688 ◽  
Author(s):  
M. Scott Marshall ◽  
Lennart Post ◽  
Marco Roos ◽  
Timo M. Breit
Keyword(s):  
Semantic Web ◽  
Experimental Measurement ◽  
Measurement Data ◽  
Web Tools

A Semantic Web Pragmatic Approach to Develop Clinical Ontologies, and thus Semantic Interoperability, based in HL7 v2.xml Messaging

2013 ◽  
pp. 205-214 ◽  
Author(s):  
David Mendes ◽  
Irene Pimenta Rodrigues
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Knowledge Representation ◽  
Ontology Mapping ◽  
Knowledge Representation And Reasoning ◽  
Healthcare Applications ◽  
Current Trends ◽  
Web Tools ◽  
Ontology Population ◽  
Tools And Techniques

The ISO/HL7 27931:2009 standard intends to establish a global interoperability framework for healthcare applications. However, being a messaging related protocol, it lacks a semantic foundation for interoperability at a machine treatable level intended through the Semantic Web. There is no alignment between the HL7 V2.xml message payloads and a meaning service like a suitable ontology. Careful application of Semantic Web tools and concepts can ease the path to the fundamental concept of Shared Semantics. In this chapter, the Semantic Web and Artificial Intelligence tools and techniques that allow aligned ontology population are presented and their applicability discussed. The authors present the coverage of HL7 RIM inadequacy for ontology mapping and how to circumvent it, NLP techniques for semi-automated ontology population, and the current trends about knowledge representation and reasoning that concur to the proposed achievement.

Comparisons of DES and LES Turbulent Model for Simulation of Surface Ship Airwake

2016 ◽  
Author(s):  
Congmin Li ◽  
Weijian Jiang ◽  
Jie Cheng ◽  
Zongxin Yu ◽  
Zhiguo Zhang
Keyword(s):  
Experimental Measurement ◽  
Measurement Data ◽  
Separated Flow ◽  
Flow Region ◽  
Turbulent Model ◽  
Ship Model ◽  
Surface Ship ◽  
Simulation Results ◽  
Turbulent Models ◽  
Computational Resources

Due to the combination of the forward speed and the prevailing wind for surface ship traveling in the ocean, the airflow passing over the ship’s superstructure causes the formation of a disturbed flow region and the large speed gradients of the mean wind over the flight deck, known as the ship airwake. This airwake would cause significant influence on the performance of the helicopter rotor during its taking off or landing, increase the operation workload of the pilot and even cause safe-landing issues, especially when the wind sweeps over the deck. This paper presents a numerical simulation of flow across the ship superstructure using DES and LES turbulent model. The ship model used for simulation is the standard SF2 surface ship model with experimental measurement data which could be used for the CFD code validation. The simulation results are compared with the experimental measurement data, and the comparison with experimental results shows good match for both DES and LES turbulent models. Simulation results show that a series of vortex had been generated after the flow separation with asymmetric characteristics. From upstream to downstream, the vortex intensity decreases, but suddenly increases after encountering the chimney. The comparison between DES and LES turbulent models shows the similar flow field and vortex structure around the ship superstructure with same grid sets. Both DES and LES are superior to RANS in solving ship airwake. The comparisons of DES and LES turbulent models show that DES can reflect the separated flow with limited computational resource and LES simulation could get higher resolution of the fluid flow structure with enough computational resources.

Thermal Tomography Using Experimental Measurement Data

2013 ◽  
Author(s):  
Jussi M. Toivanen ◽  
Ville Kolehmainen ◽  
Tanja Tarvainen ◽  
Janne Huttunen ◽  
Tuomo Savolainen ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Thermal Conductivity ◽  
Heat Capacity ◽  
Heat Transfer Coefficient ◽  
Experimental Measurement ◽  
Measurement Data ◽  
Surface Heat ◽  
Thermal Tomography ◽  
Surface Heat Transfer Coefficient ◽  
Air Hole

Experimental measurement data is used to test the feasibility of thermal tomography. The 3D distributed thermal conductivity, heat capacity and surface heat transfer coefficient of a mortar target containing an air hole are estimated using measurement data obtained with a prototype thermal tomography measurement device.

scholarly journals UN MODELO ONTOLÓGICO PARA AYUDAR AL RECONOCIMIENTO DE MINERALES

2017 ◽  
Vol 26 (2) ◽  
pp. 81
Author(s):  
Jimmy Rosales H ◽  
Carlos Rojas L ◽  
Fabricio Mansilla P. ◽  
Joseps Andrade Ch. ◽  
José Castillo S.
Keyword(s):  
Semantic Web ◽  
Query Language ◽  
Semantic Query ◽  
Construction Methods ◽  
Web Tools ◽  
Palabras Clave ◽  
The Future ◽  
Ontological Model

El presente trabajo, está enfocado en el desarrollo de un modelo Ontológico para ayudar al reconocimiento de minerales sulfurados. Dicha Ontología se implementará siguiendo los métodos de construcción recomendados. Las diversas propiedades de los minerales al estar almacenada en Ontologías se pueden extraer mediante el uso del lenguaje de consultas semántico. Finalmente, dicho modelo Ontológico diseñado se puede usar en el futuro para la implementación de un portal construido con las herramientas de la Web Semántica, para que las búsquedas de propiedades de los minerales sean más rápidas y precisas.. Palabras clave.-Web Semántica, Ontologías, Reconocimiento de minerales . ABSTRACTThe present work is focused on the development of an Ontological model to help the recognition of sulfuric minerals. This ontology will be implemented following the recommended construction methods. The diverse properties of the minerals to be stored in Ontologies can be extracted by means of the semantic query language. Finally, this ontological model can be used in the future for the implementation of a portal built with Semantic Web tools, so that mineral property searches are faster and more accurate. Keywords.-Semantic Web, Ontologies, Mineral Recognition.

scholarly journals A Prototype of Speech Interface Baed on Google Cloud Platform to Access a Semantic Website

2018 ◽  
Author(s):  
Jimmy Aurelio Rosales-Huamani ◽  
José Luis Castillo-Sequera ◽  
Juan Carlos Montalvan-Figueroa ◽  
Joseps Andrade-Choque
Keyword(s):  
Semantic Web ◽  
Good Alternative ◽  
Cloud Platform ◽  
Semantic Web Technologies ◽  
New Approach ◽  
Web Technologies ◽  
Speech Interface ◽  
Web Tools ◽  
Java Program ◽  
Extract Information

The main restriction of the Semantic Web is the difficult of the SPARQL language, that is necessary to extract information from the Knowledge Representation also known as ontology. Making the Semantic Web accessible for people who do not know SPARQL, is essential the use of friendlier interfaces and a good alternative is Natural Language. This paper shows the implementation of a friendly prototype interface to query and retrieve, by voice, information from website building with the Semantic Web tools. In that way, the end users avoid the complicated SPARQL language. To achieve this, the interface recognizes a speech query and converts it into text, it processes the text through a java program and identifies keywords, generates a SPARQL query, extracts the information from the website and read it in voice, for the user. In our work Google Cloud Speech API makes Speech-to-Text conversions and Text-to Speech conversions are made with SVOX Pico. As results, we have measured three variables: The success rate in queries, the response time of query and a usability survey. The values of the variables allows the evaluation of our prototype. Finally the interface proposed provides us a new approach in the problem, using the Cloud like a Service, reducing barriers of access to the Semantic Web for people without technical knowledge of Semantic Web technologies.

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