The Experts below are selected from a list of 94968 Experts worldwide ranked by ideXlab platform
Marie-christine Fauvet - One of the best experts on this subject based on the ideXlab platform.
-
Visualization Process of Temporal Data
2004Co-Authors: Chaouki Daassi, Laurence Nigay, Marie-christine FauvetAbstract:Temporal data are abundantly present in many application domains such as banking, financial, clinical, geographical applications and so on. Temporal data have been extensively studied from data mining and database perspectives. Complementary to these studies, our work focuses on the Visualization techniques of temporal data: a wide range of Visualization techniques have been designed to assist the users to visually analyze and manipulate temporal data. All the techniques have been designed independently. In such a context it is therefore difficult to systematically explore the set of possibilities as well as to thoroughly envision Visualization techniques of temporal data. Addressing this problem, we present a Visualization Process of temporal data. We adapt the Ed Chi's Visualization Process to the case of temporal data. We illustrate the steps of our Visualization Process by considering the design of the Star Representation Technique that we have developed. By identifying and organizing the various aspects of design, our Process serves as a basis for classifying existing Visualization techniques and should also help the designer to address the right design questions and to envision future systems.
-
DEXA - Visualization Process of Temporal Data
Lecture Notes in Computer Science, 2004Co-Authors: Chaouki Daassi, Laurence Nigay, Marie-christine FauvetAbstract:Temporal data are abundantly present in many application domains such as banking, financial, clinical, geographical applications and so on. Temporal data have been extensively studied from data mining and database perspectives. Complementary to these studies, our work focuses on the Visualization techniques of temporal data: a wide range of Visualization techniques have been designed to assist the users to visually analyze and manipulate temporal data. All the techniques have been designed independently. In such a context it is therefore difficult to systematically explore the set of possibilities as well as to thoroughly envision Visualization techniques of temporal data. Addressing this problem, we present a Visualization Process of temporal data. We adapt the Ed Chi’s Visualization Process to the case of temporal data. We illustrate the steps of our Visualization Process by considering the design of the Star Representation Technique that we have developed. By identifying and organizing the various aspects of design, our Process serves as a basis for classifying existing Visualization techniques and should also help the designer to address the right design questions and to envision future systems.
Silvia Mabel Castro - One of the best experts on this subject based on the ideXlab platform.
-
Prediction of data visibility in two-dimensional scatterplots:
Information Visualization, 2016Co-Authors: Dana K. Urribarri, Silvia Mabel CastroAbstract:The result of a Visualization Process depends on the user’s decisions along it. With the intention of accelerating this Process and guaranteeing an appropriate Visualization of the data, we are loo...
-
Semantic Based Visualization
2012Co-Authors: Martín Leonardo Larrea, Sergio R. Martig, Silvia Mabel CastroAbstract:Visualization is the Process of mapping data into visual dimensions to create a visual representation to amplify cognition. A successful Visualization allows the user to gain insight into the data in other words to communicate different aspect of the data in an effective way. Even with today’s Visualization systems that give the user a considerable control over the Visualization Process, it can be difficult to produce an effective Visualization. A strategy to improve this situation is to guide the user in the selection of the parameters involved in the Visualization. Our system goal of the research describe in this work is to develop a Visualization that can be adapted to all data domains. By considering the semantic of the data together with the semantic of the stages through the Visualization Process it is intended to determinate all the characteristics of an effective Visualization. This will guide the user through the stages of the Visualization pipeline.
-
Scientific Visualization: Interactions, Features, Metaphors - Integrating Semantics into the Visualization Process
2011Co-Authors: Sebastián Escarza, Martín Leonardo Larrea, Dana K. Urribarri, Silvia Mabel Castro, Sergio R. MartigAbstract:Most of today's Visualization systems give the user considerable control over the Visualization Process. Many parameters might be changed until the obtention of a satisfactory Visualization. The Visualization Process is a very complex exploration activity and, even for skilled users, it can be difficult to arrive at an effective Visualization. We propose the construction of a Visualization prototype to assist users and designers throughout the stages of the Visualization Process, and the integration of such Process with a reasoning procedure that allows the configuration of the Visualization, based on the entailed conclusions. We are working on a formal representation of the Visualization field. We aim to establish a common Visualization vocabulary, include the underlying semantics, and enable the definition of Visualization specifications that can be executed by a Visualization engine with ontological support. An ontological description of a Visualization should be enough to specify the Visualization and, thus, to generate a runtime environment that is able to bring that Visualization to life. The Visualization ontology defines the vocabulary. With the addition of inference rules to the system, we can derive conclusions about Visualization properties that allow to enhance the Visualization, and guide the user throughout the entire Process toward an effective result.
-
Semantics-based color assignment in Visualization
Journal of Computer Science and Technology, 2010Co-Authors: Martín Leonardo Larrea, Sergio R. Martig, Silvia Mabel CastroAbstract:The active use and manipulation of visual representations makes many complex and intensive cognitive tasks feasible. A visual representation is able to convey relationships among many elements in parallel and it provides an individual with directly observable memory. A successful Visualization allows the user to gain insight into the data, that is, to communicate different aspects of the data in an effective way. Even with today's Visualization systems that give the user a considerable control over the Visualization Process, it can be difficult to produce an effective Visualization. To obtain useful results, a user has to interrogate the Visualization very precisely. A strategy to improve this situation is to guide the user with the selection of the parameters involved in the Visualization. This paper presents the initial effort dedicated to achieve a Visualization system that assists the user in the configuration and preparation of the Visualization by considering both the semantic of the data and the semantic of the stages through all the Visualization Process. In this article we present a Visualization system for file hierarchies where color assignment is made by a reasoning Process through the use of an ontology. This work sets the way forward to integrate the Visualization Process with a reasoning Process and configure a Visualization based on the reasoner s results.
Chaouki Daassi - One of the best experts on this subject based on the ideXlab platform.
-
Visualization Process of Temporal Data
2004Co-Authors: Chaouki Daassi, Laurence Nigay, Marie-christine FauvetAbstract:Temporal data are abundantly present in many application domains such as banking, financial, clinical, geographical applications and so on. Temporal data have been extensively studied from data mining and database perspectives. Complementary to these studies, our work focuses on the Visualization techniques of temporal data: a wide range of Visualization techniques have been designed to assist the users to visually analyze and manipulate temporal data. All the techniques have been designed independently. In such a context it is therefore difficult to systematically explore the set of possibilities as well as to thoroughly envision Visualization techniques of temporal data. Addressing this problem, we present a Visualization Process of temporal data. We adapt the Ed Chi's Visualization Process to the case of temporal data. We illustrate the steps of our Visualization Process by considering the design of the Star Representation Technique that we have developed. By identifying and organizing the various aspects of design, our Process serves as a basis for classifying existing Visualization techniques and should also help the designer to address the right design questions and to envision future systems.
-
DEXA - Visualization Process of Temporal Data
Lecture Notes in Computer Science, 2004Co-Authors: Chaouki Daassi, Laurence Nigay, Marie-christine FauvetAbstract:Temporal data are abundantly present in many application domains such as banking, financial, clinical, geographical applications and so on. Temporal data have been extensively studied from data mining and database perspectives. Complementary to these studies, our work focuses on the Visualization techniques of temporal data: a wide range of Visualization techniques have been designed to assist the users to visually analyze and manipulate temporal data. All the techniques have been designed independently. In such a context it is therefore difficult to systematically explore the set of possibilities as well as to thoroughly envision Visualization techniques of temporal data. Addressing this problem, we present a Visualization Process of temporal data. We adapt the Ed Chi’s Visualization Process to the case of temporal data. We illustrate the steps of our Visualization Process by considering the design of the Star Representation Technique that we have developed. By identifying and organizing the various aspects of design, our Process serves as a basis for classifying existing Visualization techniques and should also help the designer to address the right design questions and to envision future systems.
Klaus Meißner - One of the best experts on this subject based on the ideXlab platform.
-
A Semantics-Based, End-User-Centered Information Visualization Process for Semantic Web Data
Human–Computer Interaction Series, 2013Co-Authors: Martin Voigt, Stefan Pietschmann, Klaus MeißnerAbstract:Understanding and interpreting Semantic Web data is almost impossible for novices as skills in Semantic Web technologies are required. Thus, Information Visualization (InfoVis) of this data has become a key enabler to address this problem. However, convenient solutions are missing as existing tools either do not support Semantic Web data or require users to have programming and Visualization skills. In this chapter, we propose a novel approach towards a generic InfoVis workbench called VizBoard, which enables users to visualize arbitrary Semantic Web data without expert skills in Semantic Web technologies, programming, and Visualization. More precisely, we define a semantics-based, user-centered InfoVis workflow and present a corresponding workbench architecture based on the mashup paradigm, which actively supports novices in gaining insights from Semantic Web data, thus proving the practicability and validity of our approach.
Laurence Nigay - One of the best experts on this subject based on the ideXlab platform.
-
Visualization Process of Temporal Data
2004Co-Authors: Chaouki Daassi, Laurence Nigay, Marie-christine FauvetAbstract:Temporal data are abundantly present in many application domains such as banking, financial, clinical, geographical applications and so on. Temporal data have been extensively studied from data mining and database perspectives. Complementary to these studies, our work focuses on the Visualization techniques of temporal data: a wide range of Visualization techniques have been designed to assist the users to visually analyze and manipulate temporal data. All the techniques have been designed independently. In such a context it is therefore difficult to systematically explore the set of possibilities as well as to thoroughly envision Visualization techniques of temporal data. Addressing this problem, we present a Visualization Process of temporal data. We adapt the Ed Chi's Visualization Process to the case of temporal data. We illustrate the steps of our Visualization Process by considering the design of the Star Representation Technique that we have developed. By identifying and organizing the various aspects of design, our Process serves as a basis for classifying existing Visualization techniques and should also help the designer to address the right design questions and to envision future systems.
-
DEXA - Visualization Process of Temporal Data
Lecture Notes in Computer Science, 2004Co-Authors: Chaouki Daassi, Laurence Nigay, Marie-christine FauvetAbstract:Temporal data are abundantly present in many application domains such as banking, financial, clinical, geographical applications and so on. Temporal data have been extensively studied from data mining and database perspectives. Complementary to these studies, our work focuses on the Visualization techniques of temporal data: a wide range of Visualization techniques have been designed to assist the users to visually analyze and manipulate temporal data. All the techniques have been designed independently. In such a context it is therefore difficult to systematically explore the set of possibilities as well as to thoroughly envision Visualization techniques of temporal data. Addressing this problem, we present a Visualization Process of temporal data. We adapt the Ed Chi’s Visualization Process to the case of temporal data. We illustrate the steps of our Visualization Process by considering the design of the Star Representation Technique that we have developed. By identifying and organizing the various aspects of design, our Process serves as a basis for classifying existing Visualization techniques and should also help the designer to address the right design questions and to envision future systems.
