Semantic Visualization and Navigation in Textual Corpus
F\'erihane Kboubi, Anja Habacha Chaibi, Mohamed BenAhmed

TL;DR
This paper surveys existing visualization techniques and introduces a semantic visualization and navigation approach with three search modes to enhance user interaction and discovery in textual corpora.
Contribution
It proposes a new semantic visualization and navigation method with three search modes, integrating cartography paradigms into information search systems.
Findings
Introduces three search modes: precise, connotative, thematic
Enhances user interaction with semantic guidance
Supports serendipitous discovery in text search
Abstract
This paper gives a survey of related work on the information visualization domain and study the real integration of the cartography paradigms in actual information search systems. Based on this study, we propose a semantic visualization and navigation approach which offer to users three search modes: precise search, connotative search and thematic search. The objective is to propose to the users of an information search system, new interaction paradigms which support the semantic aspect of the considered information space and guide users in their searches by assisting them to locate their interest center and to improve serendipity.
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Taxonomy
TopicsData Visualization and Analytics · Video Analysis and Summarization · Semantic Web and Ontologies
