Relation-oriented faceted search method for knowledge bases

Aso, Taro; Amagasa, Toshiyuki; Kitagawa, Hiroyuki

doi:10.1145/3428757.3429254

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…In this regard, one paper [124] calculated the completion time of retrieval tasks to describe the efficiency of FS in mobile devices. Furthermore, [125] applied two cost-based metrics: the time spent on calculating the number of attribute-value pairs of facet terms and the memory usage in the index storing process [126][127][128].…”

Section: Objective Metricsmentioning

confidence: 99%

Comprehensive Review and Future Research Directions on Dynamic Faceted Search

Mahdi

Ahmad

Natiq³

et al. 2021

Applied Sciences

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In modern society, the increasing number of web search operations on various search engines has become ubiquitous due to the significant number of results presented to the users and the incompetent result-ranking mechanism in some domains, such as medical, law, and academia. As a result, the user is overwhelmed with a large number of misranked or uncategorized search results. One of the most promising technologies to reduce the number of results and provide desirable information to the users is dynamic faceted filters. Therefore, this paper extensively reviews related research articles published in IEEE Xplore, Web of Science, and the ACM digital library. As a result, a total of 170 related research papers were considered and organized into five categories. The main contribution of this paper is to provide a detailed analysis of the faceted search’s fundamental attributes, as well as to demonstrate the motivation from the usage, concerns, challenges, and recommendations to enhance the use of the faceted approach among web search service providers.

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