Semantic Web Tools and Techniques for Knowledge Organization: An Overview

2017 ◽  
Vol 44 (4) ◽  
pp. 273-290 ◽  
Author(s):  
Thimmaiah Padmavathi ◽  
Madaiah Krishnamurthy
Author(s):  
David Mendes ◽  
Irene Pimenta Rodrigues

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.


Author(s):  
Bruno Alves ◽  
Michael Schumacher ◽  
Fabian Cretton ◽  
Anne Le Calvé ◽  
Gilles Cherix ◽  
...  

Web Services ◽  
2019 ◽  
pp. 127-148 ◽  
Author(s):  
Anindya Basu

Enormous amount of information is being produced every day and get consumed according to the needs of human being. Semantic web and ontology represent information which are machine processable and understand the semantics present among the entities. Ontology can be represented as Knowledge Organization and data modelling tool. Librarians are designated as “Information Custodian” or “Knowledge Keepers”. Implication and application of concepts in LIS can play big role in shaping knowledge-based services and mining and inferring them in better way in future. Ontology and semantic web is the future of LIS as speculated by several professionals and experts. This chapter would delineate a basic overview of Semantic Web, Ontology and linked data.


2012 ◽  
Vol 4 (1) ◽  
pp. 42-53 ◽  
Author(s):  
Ibrahim Ahmed Al-Baltah ◽  
Abdul Azim Abd Ghani ◽  
Wan Nurhayati Wan Ab. Rahman ◽  
Rodziah Atan

Recently, Semantic Annotations for WSDL (SAWSDL) standard emerged as a W3C recommendation to add semantics to WSDL components. SAWSDL annotates WSDL components with different semantics in order to automate Web service tasks, such as service discovery, composition, mediation, and invocation. In fact, certain service task requires a specific service semantic that semantically describes the service. As a result, several tools and techniques have emerged to allow users to get maximum advantage of semantic Web service by implementing SAWSDL. This paper analyzes SAWSDL standard. The relationships between SAWSDL and WSDL components were revealed. The direct relationships between SAWSDL components and service tasks through service semantics were investigated and reported. This paper also reviews some well-known tools that are used for SAWSDL implementation.


2017 ◽  
Vol 26 (2) ◽  
pp. 81
Author(s):  
Jimmy Rosales H ◽  
Carlos Rojas L ◽  
Fabricio Mansilla P. ◽  
Joseps Andrade Ch. ◽  
José Castillo S.

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.


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