Lecture Notes in Computer Science
DOI: 10.1007/978-3-540-68234-9_13
|View full text |Cite
|
Sign up to set email alerts
|

IVEA: An Information Visualization Tool for Personalized Exploratory Document Collection Analysis

Abstract: Abstract. Knowledge work in many fields requires examining several aspects of a collection of documents to attain meaningful understanding that is not explicitly available. Despite recent advances in document corpus visualization research, there is still a lack of principled approaches which enable the users to personalize the exploratory analysis process. In this paper, we present IVEA (Information Visualization for Exploratory Document Collection Analysis), an innovative visualization tool which employs the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
12
0

Publication Types

Select...
3
2
2

Relationship

1
6

Authors

Journals

citations
Cited by 19 publications
(12 citation statements)
references
References 12 publications
(17 reference statements)
0
12
0
Order By: Relevance
“…It is our belief that IVEA can demonstrate that it provides immediate benefits by taking advantage of the defined personal ontology to provide the users with a personal lens to look at text collections from different perspectives. Furthermore, we proposed in [23] the use of the PIMO (Personal Information Model) ontology [17], which serves as a formal representation of concepts and structures within a user's mental model, to minimize the cost of creating a personal ontology. The users only need to extend this readily built ontology with concepts and instances of interest to them.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…It is our belief that IVEA can demonstrate that it provides immediate benefits by taking advantage of the defined personal ontology to provide the users with a personal lens to look at text collections from different perspectives. Furthermore, we proposed in [23] the use of the PIMO (Personal Information Model) ontology [17], which serves as a formal representation of concepts and structures within a user's mental model, to minimize the cost of creating a personal ontology. The users only need to extend this readily built ontology with concepts and instances of interest to them.…”
Section: Discussionmentioning
confidence: 99%
“…Details on the initial design and implementation (a tool called IVEA) of the proposed approach can be found in [23]. Based upon the visual information-seeking mantra: "Overview first, zoom and filter, then details-on-demand" [19], the initial design of IVEA consists of four coordinated views:…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…were the main focus of this research: its methodology, its finances and its safeguards. The study began with an exploratory review (Thai et al 2008) of a range of documents (Table 1) so as to identify actors involved in designing REDD?. Actors included States and non-State organisations and groups (Keeley and Scoones 2003) who have An in-depth iterative content analysis of documents was then undertaken to explore actor roles in designing REDD?…”
Section: Review Of Unfccc Documentsmentioning
confidence: 99%
“…For example, an ontology-based visualization tool, AutoFocus, was proposed to display search results for documents on the desktop as clusters of populated concepts. Thai, Handschuh, and Decker (2008) presented IVEA (Information Visualization for Exploratory Document Collection Analysis), a visualization tool that employs the PIMO (personal information model) ontology to provide knowledge workers with an interactive interface, allowing them to browse for information in a personalized manner. Differing from existing ontologybased visualization tools' focus on information visualization, Clonto focuses on identifying key concepts, exploiting their relationships using WordNet, and visualizing the documents through those key concepts.…”
Section: Related Workmentioning
confidence: 99%