Towards the Automatic Generation of a Semantic Web Ontology for Musical Instruments

2011 ◽  
pp. 186-187 ◽  
Author(s):  
Sefki Kolozali ◽  
Mathieu Barthet ◽  
György Fazekas ◽  
Mark Sandler
Keyword(s):  
Semantic Web ◽  
Automatic Generation ◽  
Musical Instruments

Automatic Generation of Ontology for Scholarly Semantic Web

2004 ◽  
pp. 726-740 ◽  
Author(s):  
Thanh Tho Quan ◽  
Siu Cheung Hui ◽  
A. C. M. Fong ◽  
Tru Hoang Cao
Keyword(s):  
Semantic Web ◽  
Automatic Generation

scholarly journals Expressiveness of Automatic Semantic Web Service Composition Approaches: A Survey based on Workflow Patterns

2014 ◽  
Vol 21 (1) ◽  
pp. 45
Author(s):  
Evando Carlos Pessini
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Automatic Generation ◽  
Semantic Web Services ◽  
Workflow Patterns ◽  
Fully Automatic ◽  
Automatic Composition ◽  
Semantic Web Service Composition ◽  
Composition Process ◽  
User Interference

This survey evaluates a number of techniques for the automatic composition of Semantic Web Services. The evaluation takes into account the different workflow patterns that can be expressed by the solutions proposed by each individual technique. Only fully automatic approaches are considered here, i.e., composition techniques that do not demand user interference in the composition process nor rely on complex input (such as templates or other forms of abstract composition models). The main contribution of this paper is to discuss the strengths and weaknesses of the approaches presented in the literature for the automatic generation of semantic web services composition from the workflow patterns perspective.

scholarly journals Personalized Recommendation of Learning Objects Through Bio-inspired Algorithms and Semantic Web Technologies: an Experimental Analysis

2020 ◽  
Author(s):  
Cleon Pereira Júnior ◽  
Clarivando Francisco Belizário Júnior ◽  
Rafael D. Araújo ◽  
Fabiano A. Dorça
Keyword(s):  
Semantic Web ◽  
Experimental Analysis ◽  
Automatic Generation ◽  
Learning Objects ◽  
Personalized Recommendation ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Web Resources ◽  
The Web

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.

The Role of Visual Distractors in the Simon Effect

2017 ◽  
Vol 64 (6) ◽  
pp. 387-397 ◽  
Author(s):  
Luisa Lugli ◽  
Stefania D’Ascenzo ◽  
Roberto Nicoletti ◽  
Carlo Umiltà
Keyword(s):  
Simon Effect ◽  
Simon Task ◽  
Automatic Generation ◽  
Spatial Code ◽  
Attentional Model ◽  
Previous Evidence ◽  
Spatial Stimulus ◽  
Attentional Resources ◽  
Code Changes

Abstract. The Simon effect lies on the automatic generation of a stimulus spatial code, which, however, is not relevant for performing the task. Results typically show faster performance when stimulus and response locations correspond, rather than when they do not. Considering reaction time distributions, two types of Simon effect have been individuated, which are thought to depend on different mechanisms: visuomotor activation versus cognitive translation of spatial codes. The present study aimed to investigate whether the presence of a distractor, which affects the allocation of attentional resources and, thus, the time needed to generate the spatial code, changes the nature of the Simon effect. In four experiments, we manipulated the presence and the characteristics of the distractor. Findings extend previous evidence regarding the distinction between visuomotor activation and cognitive translation of spatial stimulus codes in a Simon task. They are discussed with reference to the attentional model of the Simon effect.

Musical Instruments: Their Construction and Capabilities.—II

1905 ◽  
Vol 59 (1530supp) ◽  
pp. 24516-24520
Author(s):  
A. J. Hipkins
Keyword(s):  
Musical Instruments
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