SAES: An Introduction to Self-Adapting Exploratory Structures

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.

Comprehensive Review and Future Research Directions on Dynamic Faceted Search

“…Search Engines (SEs) have become some of the most necessary tools for Internet users. Generally, an SE is an information retrieval (IR) application that locates the most relevant information and then accurately conveys the results to the users based on the specified queries [1][2][3][4][5]. Meanwhile, exploratory search (ES) has a similar mechanism as SEs except that it further narrows down the search results using faceted classification.…”