SAES: An Introduction to Self-Adapting Exploratory Structures

Giovanni Maria Sacco
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Giovanni Maria Sacco: Dipartimento di Informatica, Universita’ degli Studi di Torino, I-10124 Torino, Italy

Future Internet, 2019, vol. 11, issue 3, 1-9

Abstract: Self-adapting exploratory structures (SAESs) are the basic components of exploratory search. They are abstract structures which allow searching or querying of an information base and summarizing of results using a uniform representation. A definition and a characterization of SAES is given, as well as a discussion of structures that are SAES or can be modified in order to become SAES. These include dynamic taxonomies (also known as faceted search), tag clouds, continuous sliders, geographic maps, and dynamic clustering methods, such as Scatter-Gather. Finally, the integration of these structures into a single interface is discussed.

Keywords: exploratory search; dynamic taxonomies; faceted search; tag clouds; Scatter-Gather (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
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