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VISION-KG: Topic-centric Visualization System for Summarizing Knowledge Graph

Published: 22 January 2020 Publication History

Abstract

Large scale knowledge graph (KG) has attracted wide attentions in both academia and industry recently. However, due to the complexity of SPARQL syntax and massive volume of real KG, it remains difficult for ordinary users to access KG. In this demo, we present VISION-KG, a topic-centric visualization system to help users navigate KG easily via entity summarization and entity clustering. Given a query entity v0, VISION-KG summarizes the induced subgraph of v0's neighbor nodes via our proposed facts ranking method that measures importance, relatedness and diversity. Moreover, to achieve conciseness, we split the summarized graph into several topic-centric summarized subgraph according to semantic and structural similarities among entities. We will demonstrate how VISION-KG provides a user-friendly visualization interface for navigating KG.

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Cited By

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  • (2024)KG-PRE-view: Democratizing a TVCG Knowledge Graph through Visual Explorations2024 IEEE 17th Pacific Visualization Conference (PacificVis)10.1109/PacificVis60374.2024.00026(162-171)Online publication date: 23-Apr-2024
  • (2022)Modelado de tópicos aplicado al análisis del papel del aprendizaje automático en revisiones sistemáticasRevista de Investigación, Desarrollo e Innovación10.19053/20278306.v12.n2.2022.1527112:2(279-292)Online publication date: 15-Aug-2022
  • (2020)Tax-KG: Taxation Big Data Visualization System for Knowledge Graph2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP)10.1109/ICSIP49896.2020.9339403(425-429)Online publication date: 23-Oct-2020
  • Show More Cited By

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cover image ACM Conferences
WSDM '20: Proceedings of the 13th International Conference on Web Search and Data Mining
January 2020
950 pages
ISBN:9781450368223
DOI:10.1145/3336191
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 January 2020

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Author Tags

  1. entity clustering
  2. entity summarization
  3. knowledge graph visualization
  4. topic-centric

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Cited By

View all
  • (2024)KG-PRE-view: Democratizing a TVCG Knowledge Graph through Visual Explorations2024 IEEE 17th Pacific Visualization Conference (PacificVis)10.1109/PacificVis60374.2024.00026(162-171)Online publication date: 23-Apr-2024
  • (2022)Modelado de tópicos aplicado al análisis del papel del aprendizaje automático en revisiones sistemáticasRevista de Investigación, Desarrollo e Innovación10.19053/20278306.v12.n2.2022.1527112:2(279-292)Online publication date: 15-Aug-2022
  • (2020)Tax-KG: Taxation Big Data Visualization System for Knowledge Graph2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP)10.1109/ICSIP49896.2020.9339403(425-429)Online publication date: 23-Oct-2020
  • (undefined)Entity Summarization: State of the Art and Future ChallengesSSRN Electronic Journal10.2139/ssrn.3945397
  • (undefined)Entity Summarization: State of the Art and Future ChallengesSSRN Electronic Journal10.2139/ssrn.3944540

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