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3. From Anatomic Lab to Operating Theatre

Author

Guizzardi, Giulia, primary, Di Somma, Alberto, additional, Torales, Jorge, additional, Roldan, Pedro, additional, Varriano, Federico, additional, Hoyos, Jhon, additional, Ferres, Abel, additional, Topczewski, Thomaz E., additional, Mosteiro, Alejandra, additional, Torne, Ramon, additional, Gonzalez Sanchez, Jose Juan, additional, Enseñat, Joaquim, additional, and Prats-Galino, Alberto, additional

Published
2022
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21. Semantic Annotation and Question Answering of Statistical Graphs.

Author

Dumontier, Michel, Ferres, Leo, and Villanueva-Rosales, Natalia

Abstract

Although statistical graphs are ubiquitous, few techniques and standards exist to exchange, search and query these graphical representations. The gSem project aims to improve human-graph interaction by developing new approaches to manage statistical graph knowledge. Two specific objectives of this project are addressed in this paper: (1) improve the efficiency of searching statistical graph knowledge and (2) facilitate sophisticated question answering about statistical graph knowledge. In particular, semantic annotation and query answering across statistical graphs with OWL ontologies are described. [ABSTRACT FROM AUTHOR]

Published
2008
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22. Helping People with Visual Impairments Gain Access to Graphical Information Through Natural Language: The iGraph System.

Author

Miesenberger, Klaus, Klaus, Joachim, Wolfgang Zagler, Karshmer, Arthur, Ferres, Leo, Parush, Avi, Roberts, Shelley, and Lindgaard, Gitte

Abstract

Much numerical information is visualized in graphs. However, this is a medium that is problematic for people with visual impairments. We have developed a system called iGraph which provides short verbal descriptions of the information usually depicted in graphs. This system was used as a preliminary solution that was validated through a process of User Needs Analysis (UNA). This process provided some basic data on the needs of people with visual impairments in terms of the components and the language to be used for graph comprehension and also validated our initial approach. The UNA provided important directions for the further development of iGraph particularly in terms of interactive querying of graphs. [ABSTRACT FROM AUTHOR]

Published
2006
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23. Representing and Querying Line Graphs in Natural Language: The iGraph System.

Author

Butz, Andreas, Fisher, Brian, Krüger, Antonio, Olivier, Patrick, Ferres, Leo, Parush, Avi, Li, Zhihong, Oppacher, Yandu, and Lindgaard, Gitte

Abstract

Numerical information is often presented in graphs. However, this medium is problematic for certain audiences such as inexperienced graph readers, people with visual impairments and users of mobile technologies featuring small screens. We have developed a system called iGraph which provides short verbal descriptions with the information depicted in graphs and a way of interacting with it by means of dialogue in natural language. In this paper, we present the general architecture of the system and its representational and querying mechanisms, together with a glimpse of the natural language interface. [ABSTRACT FROM AUTHOR]

Published
2006
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