IRDLGRSIFeb 8, 2012

Semantic Visualization and Navigation in Textual Corpus

arXiv:1202.1841v114 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for better user guidance in information search systems, but it appears incremental as it builds on existing visualization and cartography studies.

The paper tackles the problem of enhancing information search systems by proposing a semantic visualization and navigation approach that integrates cartography paradigms, offering users three search modes to improve interaction and serendipity.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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