scholarly journals MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL Queries

2020 ◽  
pp. 104-117
Author(s):  
Damien Graux ◽  
Gezim Sejdiu ◽  
Claus Stadler ◽  
Giulio Napolitano ◽  
Jens Lehmann
Keyword(s):  
Semantic Web ◽  
Sparql Query ◽  
Use Cases ◽  
Standard Version ◽  
Web Tools ◽  
Generic Solution ◽  
Mathematical Expressions ◽  
Mathematical Formulas ◽  
Euclidean Distances

Abstract The recent deployments of semantic web tools and the expansion of available linked datasets have given users the opportunity of building increasingly complex applications. These emerging use cases often require queries containing mathematical formulas such as euclidean distances or unit conversions. Currently, the latest SPARQL standard (version 1.1) only embeds basic math operators. Thus, to address this shortcoming, some popular SPARQL evaluators provide built-in tools to cover specific needs; however, such tools are not standard yet. To offer users a more generic solution, we propose and share MINDS, a translator of mathematical expressions into SPARQL-compliant bindings which can be understood by any evaluator. MINDS thereby facilitates the query design whenever mathematical computations are needed in a SPARQL query.

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.

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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