LogCanvas: Visualizing Search History Using Knowledge Graphs

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

Research Organisations

External Research Organisations

  • Renmin University of China
  • East China Normal University
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Details

Original languageEnglish
Title of host publication41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018
Pages1289-1292
Number of pages4
ISBN (electronic)9781450356572
Publication statusPublished - Jun 2018
Event41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 - Ann Arbor, United States
Duration: 8 Jul 201812 Jul 2018

Publication series

Name41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018

Abstract

In this demo paper, we introduce LogCanvas, a platform for user search history visualization.Different from the existing visualization tools, LogCanvas focuses on helping users re-construct the semantic relationship among their search activities. LogCanvas segments a user's search history into different sessions and generates a knowledge graph to represent the information exploration process in each session.A knowledge graph is composed of the most important concepts or entities discovered by each search query as well as their relationships. It thus captures the semantic relationship among the queries.LogCanvas offers a session timeline viewer and a snippets viewer to enable users to re-find their previous search results efficiently. LogCanvas also provides a collaborative perspective to support a group of users in sharing search results and experience.

Keywords

    Collaborative search, Information-refinding, Search history visualization

ASJC Scopus subject areas

Cite this

LogCanvas: Visualizing Search History Using Knowledge Graphs. / Xu, Luyan; Fernando, Zeon Trevor; Zhou, Xuan et al.
41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018. 2018. p. 1289-1292 (41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Xu, L, Fernando, ZT, Zhou, X & Nejdl, W 2018, LogCanvas: Visualizing Search History Using Knowledge Graphs. in 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018. 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, pp. 1289-1292, 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, United States, 8 Jul 2018. https://doi.org/10.1145/3209978.3210169
Xu, L., Fernando, Z. T., Zhou, X., & Nejdl, W. (2018). LogCanvas: Visualizing Search History Using Knowledge Graphs. In 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 (pp. 1289-1292). (41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018). https://doi.org/10.1145/3209978.3210169
Xu L, Fernando ZT, Zhou X, Nejdl W. LogCanvas: Visualizing Search History Using Knowledge Graphs. In 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018. 2018. p. 1289-1292. (41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018). doi: 10.1145/3209978.3210169
Xu, Luyan ; Fernando, Zeon Trevor ; Zhou, Xuan et al. / LogCanvas : Visualizing Search History Using Knowledge Graphs. 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018. 2018. pp. 1289-1292 (41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018).
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abstract = "In this demo paper, we introduce LogCanvas, a platform for user search history visualization.Different from the existing visualization tools, LogCanvas focuses on helping users re-construct the semantic relationship among their search activities. LogCanvas segments a user's search history into different sessions and generates a knowledge graph to represent the information exploration process in each session.A knowledge graph is composed of the most important concepts or entities discovered by each search query as well as their relationships. It thus captures the semantic relationship among the queries.LogCanvas offers a session timeline viewer and a snippets viewer to enable users to re-find their previous search results efficiently. LogCanvas also provides a collaborative perspective to support a group of users in sharing search results and experience.",
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Download

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