LogCanvas: Visualizing Search History Using Knowledge Graphs

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

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  • Renmin University of China
  • East China Normal University
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OriginalspracheEnglisch
Titel des Sammelwerks41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018
Seiten1289-1292
Seitenumfang4
ISBN (elektronisch)9781450356572
PublikationsstatusVeröffentlicht - Juni 2018
Veranstaltung41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 - Ann Arbor, USA / Vereinigte Staaten
Dauer: 8 Juli 201812 Juli 2018

Publikationsreihe

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.

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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. S. 1289-1292 (41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-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, S. 1289-1292, 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, USA / Vereinigte Staaten, 8 Juli 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 (S. 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. S. 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. S. 1289-1292 (41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018).
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title = "LogCanvas: Visualizing Search History Using Knowledge Graphs",
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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note = "41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 ; Conference date: 08-07-2018 Through 12-07-2018",

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