Chapter 13: Liquid Queries and Liquid Results in Search Computing - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Chapitre D'ouvrage Année : 2009

Chapter 13: Liquid Queries and Liquid Results in Search Computing

Résumé

Liquid queries are a flexible tool for information seeking, based on the progressive exploration of the search space; they produce “fluid” results which dynamically adapt to the shape of the query, as a liquid adapts to its container. The liquid query paradigm relies on the SeCo service mart and multi-domain query execution concepts: an expert user selects a priori the service marts relevant to the information seeking task at hand and the connections necessary to join them, and publishes such a definition in the SeCo back-end. The Liquid Query client-side interface consumes the application definition created by the expert and dynamically builds a query interface for the end-user. Such interface allows one to supply keywords to query the pre-configured service marts and offers controls for exploring the combinations computed by the SeCo execution engine. The interaction commands are based on a tabular representation of results and comprise: reordering, clustering, addition or deletion of attributes, addition of extra service marts to the query for specific items in the result set or for the entire result set, request of more results from all services or from selected ones, expansion of details on selected items, and more. The Liquid Query is equipped with multiple data visualization options suited to render multi-domain results and can be instrumented with indicators showing the quality of the result set.

Dates et versions

inria-00547035 , version 1 (15-12-2010)

Identifiants

Citer

Alessandro Bozzon, Marco Brambilla, Stefano Ceri, Piero Fraternali, Ioana Manolescu. Chapter 13: Liquid Queries and Liquid Results in Search Computing. Stefano Ceri and Marco Brambilla. Search Computing, 5950, Springer, pp.244-267, 2009, Lecture Notes in Computer Science, ⟨10.1007/978-3-642-12310-8_13⟩. ⟨inria-00547035⟩
56 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More