Irvin Dongo

Irvin Dongo
Ecole Supérieure des Technologies Industrielles Avancées (ESTIA) | ESTIA

PhD

About

26
Publications
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82
Citations

Publications

Publications (26)
Article
Full-text available
Urban tourism information available on Internet has been of enormous relevance to motivate the tourism in many countries. There exist many applications focused on promoting and preserving the cultural heritage, through urban tourism, which in turn demand a well-defined and standard model for representing the whole knowledge of this domain, thus ens...
Conference Paper
Full-text available
In the context of Human-Robot Interaction (HRI), emotional understanding is becoming more popular because it turns robots more humanized and user-friendly. Giving a robot the ability to recognize emotions has several difficulties due to the limits of the robots' hardware and the real-world environments in which it works. In this sense, an out-of-ro...
Article
Full-text available
Emotion recognition is a strategy for social robots used to implement better Human-Robot Interaction and model their social behaviour. Since human emotions can be expressed in different ways (e.g., face, gesture, voice), multimodal approaches are useful to support the recognition process. However, although there exist studies dealing with multimoda...
Conference Paper
Full-text available
The huge amount of data managed by information tools and services of cultural heritage, demands the use of a more complex and formal knowledge representation, such as ontologies. However, existing platforms, aimed at supporting the management of semantic knowledge and the development of applications are limited, and mainly focused on serving a sing...
Conference Paper
Full-text available
In robotics, object detection in images or videos, obtained in real-time from sensors of robots can be used to support the implementation of service robot tasks (e.g., navigation, model its social behavior, recognize objects in a specific domain), usually accomplished in indoor environments. However, traditional deep learning based object detection...
Article
Full-text available
Purpose This paper aims to perform an exhaustive revision of relevant and recent related studies, which reveals that both extraction methods are currently used to analyze credibility on Twitter. Thus, there is clear evidence of the need of having different options to extract different data for this purpose. Nevertheless, none of these studies perfo...
Conference Paper
Full-text available
Human emotion recognition from visual expressions is an important research area in computer vision and machine learning owing to its significant scientific and commercial potential. Since visual expressions can be captured from different modalities (e.g., face expressions, body posture, hands pose), multi-modal methods are becoming popular for anal...
Article
Full-text available
Resumen: En ambientes de computación de alto rendimiento (HPC por sus siglas en inglés de High Performance Computing), una de las tareas más difíciles, tanto para los administradores de sistemas como para los usuarios finales, es preparar el ambiente de trabajo (e.g., configuración del clúster) y resolver las dependencias de software. En este conte...
Conference Paper
Full-text available
Nowadays, diffusion and preservation of cultural heritage are being supported by technology on the Web. Thus, the online availability of urban tourism information, as part of cultural heritage, has been of enormous relevance to activate the tourism in many countries. The necessity of a well-defined and standard model for representing this knowledge...
Article
Full-text available
Social media and other platforms on Internet are commonly used to communicate and generate information. In many cases, this information is not validated, which makes it difficult to use and analyze. Although there exist studies focused on information validation, most of them are limited to specific scenarios. Thus, a more general and flexible archi...
Article
Full-text available
For social robots, knowledge regarding human emotional states is an essential part of adapting their behavior or associating emotions to other entities. Robots gather the information from which emotion detection is processed via different media, such as text, speech, images, or videos. The multimedia content is then properly processed to recognize...
Conference Paper
Full-text available
Nowadays, gestures are being adopted as a new modality in the field of Human-Computer Interaction (HMI), where the physical movements of the whole body can perform unlimited actions. Soundpainting is a language of artistic composition used for more than forty years. However, the work on the recognition of SoundPainting gestures is limited and they...
Conference Paper
Full-text available
In this paper, we present a study about the most popular information sources available on the Web (e.g., Google, Facebook, Twitter) and the available methods to verify their publications. We propose a generic credibility analysis model for social information sources, which is instantiated for Twitter. We show a proof of concepts through the develop...
Conference Paper
Full-text available
Nowadays, RDF data becomes more and more popular on the Web due to the advances of the Semantic Web and the Linked Open Data initiatives. Several works are focused on transforming relational databases to RDF by storing related data in N-Triple serialization format. However, these approaches do not take into account the existing normalization of the...
Conference Paper
Full-text available
This work aims to explore the use of a new gesture-based interaction built on automatic recognition of Soundpainting structured gestural language. In the proposed approach, a composer (called Soundpainter) performs Soundpainting gestures facing a Kinect sensor. Then, a gesture recognition system captures gestures that are sent to a sound generator...
Article
Full-text available
The Semantic Web and the Linked Open Data (LOD) initiatives promote the integration and combination of RDF data on the Web. In some cases, data need to be analyzed and protected before publication in order to avoid the disclosure of sensitive information. However, existing RDF techniques do not ensure that sensitive information cannot be discovered...
Article
Full-text available
In the context of RDF document matching/integration, the datatype information, which is related to literal objects, is an important aspect to be analyzed in order to better determine similar RDF documents. In this paper, we present an RDF Datatype in Ferring Framework, called RDF-F, which provides two independent datatype inference processes: 1) a...
Thesis
Full-text available
With the advance of the Semantic Web and the Open Linked Data initiatives, a huge quantity of RDF data is available on the Web. The goal is to make this data readable for humans and machines, adopting special formats and connecting them by using International Resource Identifiers (IRIs), which are abstractions of real resources of the world. As mor...
Conference Paper
Full-text available
In the context of RDF document matching/integration, the datatype information, which is related to literal objects, is an important aspect to be analyzed in order to better determine similar RDF documents. In this paper, we propose a datatype inference process based on four steps: (i) predicate information analysis (i.e., deduce the datatype from e...
Conference Paper
Full-text available
With the advance of the Semantic Web, the need to integrate and combine data from different sources has increased considerably. Many efforts have focused on RDF document matching. However, they present limited approaches in the context of datatype similarity. This paper addresses the issue of datatype similarity for the Semantic Web as a first step...
Conference Paper
Billions of RDF triples are currently available on the Web through the Linked Open Data cloud (e.g., DBpedia, LinkedGeoData and New York Times). Governments, universities as well as companies (e.g., BBC, CNN) are also producing huge collections of RDF triples and exchanging them through different serialization formats (e.g., RDF/XML, Turtle, N-Trip...
Conference Paper
Full-text available
XML has experimented a rapid growth mostly because of its application on the Web. Application varies from version control management, data storage to clustering and information retrieval. In this context, it is necessary to develop efficient techniques for comparing XML documents. Many method proposed are based only on structural commonalities, ign...

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