Query assistant based on experience capitalization for information retrieval systems

Author

Chevalier, M. ; Hubert, G.

Author_Institution

IRIT, Univ. of Toulouse, Toulouse

fYear

2009

fDate

21-23 May 2009

Firstpage

502

Lastpage

509

Abstract

When searching information a first and crucial step is query formulation. However it is a difficult task for users. This paper introduces a new approach to help users formulating their queries. It proposes to benefit from past search experiences to help users when formulating queries. The user can incrementally construct his query visualizing how other users have carried out searches with the terms he uses currently. The visualization relies on a graph representing past queries related to the current query constructed. So, past experiences are shared to help users in formulating their own queries. An implementation illustrates the approach through a scenario of use.

Keywords

Internet; data visualisation; graph theory; information retrieval systems; query formulation; Web 2.0; graph representation; information retrieval system; query assistant design; query formulation; query visualization; user experience capitalization; Content based retrieval; Data mining; Databases; Feedback; Information retrieval; Natural languages; Ontologies; Search engines; Visualization; Vocabulary; Assistant; Information Retrieval System; Query formulation; Query log; Shared experience;

fLanguage

English

Publisher

ieee

Conference_Titel

Human System Interactions, 2009. HSI '09. 2nd Conference on

Conference_Location

Catania

Print_ISBN

978-1-4244-3959-1

Electronic_ISBN

978-1-4244-3960-7

Type

conf

DOI

10.1109/HSI.2009.5091030

Filename

5091030