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Catholic University of Leuven, Belgium
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2 Papers

A MOBILE CONVERSATION ASSISTANT TO ENHANCE COMMUNICATIONS FOR HEARING-IMPAIRED CHILDREN

Topics: Web Information Filtering and Retrieval; Mobile Navigation and Assistance

Authors: Toon De Pessemier 1 , Laurens Van Acker 2 , Emilie Van Dijck 3 , Karin Slegers 3 , Wout Joseph 1 and Luc Martens 1

Affiliations: 1 Ghent University / IBBT, Belgium , 2 Hogeschool Gent, Belgium , 3 K. U. Leuven / IBBT, Belgium

Digital Object Identifier: 10.5220/0003934607750780

Proceedings of WEBIST 2012, ISBN: 978-989-8565-08-2

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Children and young people who are deaf or have hearing impairments do not master the spoken and written language well. Moreover, their friends and relatives do not always speak sign language. In this research, a communication aid is developed on the Google Android mobile operating system to reduce these barriers by converting text into relevant images and movies thereby clarifying the meaning of the text. Users can select text from webpages, e-mail and SMS messages, or text can be generated using speech recognition or optical character recognition as input source. The communication tool analyzes the sentences and tries to understand the context and meaning of the text in order to select the most appropriate visual content originating from online sources like YouTube, Flickr, Google Images, and Vimeo. User tests and focus groups with deaf children and interviews with experts in the field of deaf and hard hearing people confirmed the need for a communication aid and proved the utility of the proposed tool.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Mobile Information Systems

Mobile Navigation and Assistance

Web Information Systems and Technologies

PARTICIPATORY DESIGN OF A CONTINUOUS CARE ONTOLOGY - Towards a User-driven Ontology Engineering Methodology

Topics: Ontology Engineering; Knowledge Acquisition; Knowledge Representation; Context Analysis and Modeling; Applications and Case-Studies; Domain Analysis and Modeling

Authors: Femke Ongenae 1 , Lizzy Bleumers 2 , Nicky Sulmon 3 , Mathijs Verstraete 3 , Mieke Van Gils 3 , An Jacobs 2 , Saar De Zutter 4 , Piet Verhoeve 4 , Ann Ackaert 1 and Filip De Turck 1

Affiliations: 1 Ghent University - IBBT, Belgium , 2 Brussels University (VUB) - IBBT, Belgium , 3 K.U. Leuven - IBBT, Belgium , 4 Televic Healthcare NV, Belgium

Digital Object Identifier: 10.5220/0003654700810090

Proceedings of KEOD 2011/IC3K, ISBN: 978-989-8425-80-5

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The patient room of the future would be able to sense the needs and preferences of the patients and nurses and adapt itself accordingly by combining all the heterogeneous data offered by the different technologies. This goal can be achieved by developing a context-aware framework, which exploits and integrates the heterogeneous data by utilizing a continuous care ontology. The existing ontology engineering methodologies are rather extreme in their choices to include domain experts. On the one hand, there are methodologies that only discuss the scope, use and requirements of the ontology with the domain experts. On the other hand, there are approaches in which the ontology is completely constructed by the domain experts by providing them with user-friendly and collaborative tools. In this paper, a participatory ontology engineering methodology is presented that finds a middle ground between these two extremes. The methodology actively involves social scientists, ontology engineers and stakeholders. The stakeholders participate in each step of the ontology life cycle without having to construct the ontology themselves or attribute a large amount of their time. The applicability of the methodology is illustrated by presenting the co-created continuous care ontology.
Collapse Button Related Ontology Subjects/Areas/Topics (16)
Applications and Case-studies

Information Systems Analysis and Specification

Ontologies and the Semantic Web

Artificial Intelligence

Knowledge Acquisition

Ontology Engineering

Context

Knowledge Engineering and Ontology Development

Paradigm Trends

Data Engineering

Knowledge Representation

Software Engineering

Domain Analysis and Modeling

Knowledge-Based Systems

Symbolic Systems
Enterprise Information Systems

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