Semantic Web Technologies in the Service of Personalization Tools

Author(s):  
Yolanda Blanco-Fernández ◽  
José J. Pazos-Arias ◽  
Alberto Gil-Solla

The so-called recommender systems have become assistance tools indispensable to the users in domains where the information overload hampers manual search processes. In literature, diverse personalization paradigms have been proposed to match automatically the preferences of each user (which are previously modelled in personal profiles) against the available items. All these paradigms are laid down on a common substratum that uses syntactic matching techniques, which greatly limit the quality of the offered recommendations due to their inflexible nature. To fight these limitations, this chapter explores a novel approach based on reasoning about the semantics of both the users’ preferences and considered items, by resorting to less rigid inference mechanisms borrowed from the Semantic Web.

2019 ◽  
Vol 46 (2) ◽  
pp. 147-160
Author(s):  
Ozgu Can ◽  
Dilek Yilmazer

Provenance determines the origin of the data by tracing and recording the actions that are performed on the data. Therefore, provenance is used in many fields to ensure the reliability and quality of data. In this work, provenance information is used to meet the security needs in information systems. For this purpose, a domain-independent provenance model is proposed. The proposed provenance model is based on the Open Provenance Model and Semantic Web technologies. The goal of the proposed provenance model is to integrate the provenance and security concepts in order to detect privacy violations by querying the provenance data. In order to evaluate the proposed provenance model, we illustrated our domain-independent model by integrating it with an infectious disease domain and implemented the Healthcare Provenance Information System.


Author(s):  
Jennifer Sampson ◽  
John Krogstie ◽  
Csaba Veres

Recently semantic web technologies, such as ontologies, have been proposed as key enablers for integrating heterogeneous data schemas in business and governmental systems. Algorithms designed to align different but related ontologies have become necessary as differing ontologies proliferate. The process of ontology alignment seeks to find corresponding entities in a second ontology with the same or the closest meaning for each entity in a single ontology. This research is motivated by the need to provide tools and techniques to support the task of validating ontology alignment statements, since it cannot be guaranteed that the results from automated tools are accurate. The authors present a framework for understanding ontology alignment quality and describe how AlViz, a tool for visual ontology alignment, may be used to improve the quality of alignment results. An experiment was undertaken to test the claim that AlViz supports the task of validating ontology alignments. A promising result found that the tool has potential for identifying missing alignments and for rejecting false alignments.


Author(s):  
Jennifer Sampson ◽  
John Krogstie ◽  
Csaba Veres

Recently semantic web technologies, such as ontologies, have been proposed as key enablers for integrating heterogeneous data schemas in business and governmental systems. Algorithms designed to align different but related ontologies have become necessary as differing ontologies proliferate. The process of ontology alignment seeks to find corresponding entities in a second ontology with the same or the closest meaning for each entity in a single ontology. This research is motivated by the need to provide tools and techniques to support the task of validating ontology alignment statements, since it cannot be guaranteed that the results from automated tools are accurate. The authors present a framework for understanding ontology alignment quality and describe how AlViz, a tool for visual ontology alignment, may be used to improve the quality of alignment results. An experiment was undertaken to test the claim that AlViz supports the task of validating ontology alignments. A promising result found that the tool has potential for identifying missing alignments and for rejecting false alignments.


Author(s):  
Juan Manuel Adan-Coello ◽  
Carlos Miguel Tobar ◽  
João Luís Garcia Rosa ◽  
Ricardo Luís de Freitas

The objective of this chapter is to discuss relevant applications of Semantic Web technologies in the field of education, emphasizing experiences that point out trends and paths that can make the educational Semantic Web a reality. The Semantic Web, through metadata, comes to make it possible that resources of every type could be localized, retrieved and processed without human intervention, helping to reduce the information overload of the current Web. The possibility of describing resources using metadata that can be processed by computers simplifies the creation of self-organizing networks of learners, information, authors, teachers, and educational institutions. The adoption of Semantic Web technologies in the e-learning field contributes to the construction of flexible and intelligent educational systems, allowing reuse, integration, and interoperation of educational and noneducational resources (content and services) distributed over the Web.


2020 ◽  
Author(s):  
Cleon Pereira Júnior ◽  
Clarivando Francisco Belizário Júnior ◽  
Rafael D. Araújo ◽  
Fabiano A. Dorça

The emerging need to explore the Web as a learning source allied with the purpose of providing personalized recommendations is a tough task. Considering this scenario, this work presents an approach that combines Semantic Web technologies and bio-inspired algorithms to perform personalized recommendation of Learning Objects (LOs) using local repositories and Web resources. Web resources are retrieved and structured as LOs, which allows for the automatic generation of metadata, minimizing course tutors' work. Experiments were performed to verify which bio-inspired evolutionary algorithm would be most appropriate in this context. Also, discussions regarding the quality of recommendations considering local repositories and Web have been made. Initial experiments evaluating the efficiency of the proposed approach have shown promising results.


Author(s):  
Ahmed S. Ismail ◽  
Haytham Al- Feel ◽  
Heba Elbeh ◽  
Mohamed Elkawkagy

The electronic journalism industry became one of the most important achievements of technology in the two decades. Through online media platforms, information and instant news delivered easily and cheaper than before. In addition to that, e-journalism reduces the time and space needed in traditional journalism industry, and hence improve the information lifecycle beginning from collecting reaching to delivering the news to users in convenient ways. On the other hand, Semantic Web technologies enrich the meaning of web content by converting the unstructured data to structured format. So, our proposed works aims to build robust e-journalism system based on Semantic Web technologies to improve the quality of service for journalists and readers.


2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Markus Lanthaler ◽  
Christian Gütl

We live in an era of ever-increasing abundance of data. To cope with the information overload we suffer from every single day, more sophisticated methods are required to access, manipulate, and analyze these humongous amounts of data. By embracing the heterogeneity, which is unavoidable at such a scale, and accepting the fact that the data quality and meaning are fuzzy, more adaptable, flexible, and extensible systems can be built. RESTful services combined with Semantic Web technologies could prove to be a viable path to achieve that. Their combination allows data integration on an unprecedented scale and solves some of the problems Web developers are continuously struggling with. This paper introduces a novel approach to create machine-readable descriptions for RESTful services as a first step towards this ambitious goal. It also shows how these descriptions along with an algorithm to translate SPARQL queries to HTTP requests can be used to integrate RESTful services into a global read-write Web of Data.


Semantic Web ◽  
2021 ◽  
pp. 1-21
Author(s):  
Gustavo Candela ◽  
Pilar Escobar ◽  
María Dolores Sáez ◽  
Manuel Marco-Such

Cultural heritage institutions are exploring Semantic Web technologies to publish and enrich their catalogues. Several initiatives, such as Labs, are based on the creative and innovative reuse of the materials published by cultural heritage institutions. In this way, quality has become a crucial aspect to identify and reuse a dataset for research. In this article, we propose a methodology to create Shape Expressions definitions in order to validate LOD datasets published by libraries. The methodology was then applied to four use cases based on datasets published by relevant institutions. It intends to encourage institutions to use ShEx to validate LOD datasets as well as to promote the reuse of LOD, made openly available by libraries.


Informatica ◽  
2015 ◽  
Vol 26 (2) ◽  
pp. 221-240 ◽  
Author(s):  
Valentina Dagienė ◽  
Daina Gudonienė ◽  
Renata Burbaitė

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