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LogCanvas: Visualizing Search History Using Knowledge Graphs

Published:27 June 2018Publication History

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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        • Published in

          cover image ACM Conferences
          SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
          June 2018
          1509 pages
          ISBN:9781450356572
          DOI:10.1145/3209978

          Copyright © 2018 Owner/Author

          Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 27 June 2018

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          Acceptance Rates

          SIGIR '18 Paper Acceptance Rate86of409submissions,21%Overall Acceptance Rate792of3,983submissions,20%

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