KG-ECO: Knowledge Graph Enhanced Entity Correction For Query Rewriting

Jinglun, Cai,; Li, Mingda; Jiang, Ziyan; Cho, Eunah; Chen, Zheng; Liu, Yang; Fan, Xing; Guo, Chenlei

doi:10.1109/icassp49357.2023.10096826

Cited by 3 publications

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Emerging Exploration Strategies of Knowledge Graphs

Al-Tawil,

Dimitrova,

Thakker

et al. 2023

IEEE Access

View full text Add to dashboard Cite

The utilization of semantic web technologies has led to the development of knowledge graphs represented as triples that allow for the exploration of specific and cross-domains. Despite the advantages of semantic links between entities in facilitating user exploration, they can also lead to an overwhelming number of exploration choices that can cause confusion, frustration, uncertainty, and a sense of being lost in the abundant graph, particularly for users who are not familiar with the domain. Thus, identifying exploration strategies is critical to improving user exploration and increasing exploration utility. This study aims to identify exploration strategies that promote knowledge utility (i.e., increase users' domain knowledge) and exploration experience (i.e., provide users with a positive and pleasant feeling). To accomplish this goal, an experimental user study was conducted, involving lay users in the musical instrument domain, where they were presented with an exploration task and then allowed to freely explore musical instruments. Parameters related to exploration paths were used to analyze the exploration patterns that users follow during their exploration. The findings reveal exploration strategies that promote knowledge utility and exploration experience. This research contributes to the literature on intelligent methods of guiding user exploration through knowledge graphs to enhance exploration effectiveness, which can have broad applications in knowledge graph utilization.

show abstract