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Open Access
Article
Publication date: 31 July 2021

Taro Aso, Toshiyuki Amagasa and Hiroyuki Kitagawa

The purpose of this paper is to propose a scheme that allows users to interactively explore relations between entities in knowledge bases (KBs). KBs store a wide range of…

Abstract

Purpose

The purpose of this paper is to propose a scheme that allows users to interactively explore relations between entities in knowledge bases (KBs). KBs store a wide range of knowledge about real-world entities in a structured form as (subject, predicate, object). Although it is possible to query entities and relations among entities by specifying appropriate query expressions of SPARQL or keyword queries, the structure and the vocabulary are complicated, and it is hard for non-expert users to get the desired information. For this reason, many researchers have proposed faceted search interfaces for KBs. Nevertheless, existing ones are designed for finding entities and are insufficient for finding relations.

Design/methodology/approach

To this problem, the authors propose a novel “relation facet” to find relations between entities. To generate it, they applied clustering on predicates for grouping those predicates that are connected to common objects. Having generated clusters of predicates, the authors generated a facet according to the result. Specifically, they proposed to use a couple of clustering algorithms, namely, agglomerative hierarchical clustering (AHC) and CANDECOMP/PARAFAC (CP) tensor decomposition which is one of the tensor decomposition methods.

Findings

The authors experimentally show test the performance of clustering methods and found that AHC performs better than tensor decomposition. Besides, the authors conducted a user study and show that their proposed scheme performs better than existing ones in the task of searching relations.

Originality/value

The authors propose a relation-oriented faceted search method for KBs that allows users to explore relations between entities. As far as the authors know, this is the first method to focus on the exploration of relations between entities.

Details

International Journal of Web Information Systems, vol. 17 no. 6
Type: Research Article
ISSN: 1744-0084

Keywords

Expert briefing
Publication date: 24 February 2021

He has held high-profile posts since 2015, as minister for foreign affairs and then defence during Shinzo Abe's administration. He now oversees Prime Minister Yoshihide Suga’s…

Expert briefing
Publication date: 27 March 2018

The 'Moritomo Gakuen' scandal.

Details

DOI: 10.1108/OXAN-DB230721

ISSN: 2633-304X

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Expert briefing
Publication date: 17 September 2021

The winner will become prime minister and lead the party into a general election that must take place before the middle of November. Four candidates are running. The incumbent…

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DOI: 10.1108/OXAN-DB264179

ISSN: 2633-304X

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Expert briefing
Publication date: 20 April 2018

However, at home his position is deteriorating amid ever-growing scandals. He faces constant criticism in parliament and has failed to enlist support from broad segments of the…

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DOI: 10.1108/OXAN-DB232252

ISSN: 2633-304X

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Expert briefing
Publication date: 20 December 2019

The outlook for politics in Japan in 2020.

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DOI: 10.1108/OXAN-DB249564

ISSN: 2633-304X

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Expert briefing
Publication date: 18 December 2023

In addition, the three most senior Liberal Democratic Party (LDP) executive officers, including policy chief Koichi Hagiuda, have tendered their resignations. They will be…

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DOI: 10.1108/OXAN-DB284075

ISSN: 2633-304X

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Expert briefing
Publication date: 15 July 2021

Instead, the party scored its second-worst election performance ever.

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DOI: 10.1108/OXAN-DB262812

ISSN: 2633-304X

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Expert briefing
Publication date: 11 December 2019

Inflation targeting.

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DOI: 10.1108/OXAN-DB249328

ISSN: 2633-304X

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Expert briefing
Publication date: 17 May 2019

Secular stagnation in Japan.

Details

DOI: 10.1108/OXAN-DB243939

ISSN: 2633-304X

Keywords

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