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SEED V3: Entity-Oriented Exploratory Search in Knowledge Graphs on Tablets

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Advances in Conceptual Modeling (ER 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11158))

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Abstract

Entity-oriented information access is becoming a key enabler for next-generation information retrieval and exploration systems. Previously, researchers have demonstrated that knowledge graphs allow the exploitation of semantic correlation among entities to improve information access. However, less attention is devoted to user interfaces of tablets for exploring knowledge graphs effectively and efficiently. In this paper, we design and implement a system called SEED to support entity-oriented exploratory search in knowledge graphs on tablets. It utilizes a dataset of hundreds of thousands of film-related entities extracted from DBpedia V3.9, and applies the knowledge embedding derived from a graph embedding model to rank entities and their relevant aspects, as well as explaining the correlation among entities via their links. Moreover, it supports touch-based interactions for formulating queries rapidly.

This work is supported by the National Science Foundation of China under grants No. 61472426, U1711261, 61432006.

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Authors and Affiliations

  1. School of Information, Renmin University of China, Beijing, China

    Jun Chen, Mingrui Shao, Yueguo Chen & Xiaoyong Du

  2. Key Laboratory of Data Engineering and Knowledge Engineering, MOE, Beijing, China

    Jun Chen, Mingrui Shao, Yueguo Chen & Xiaoyong Du

Authors
  1. Jun Chen
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  2. Mingrui Shao
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  3. Yueguo Chen
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  4. Xiaoyong Du
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Corresponding author

Correspondence to Yueguo Chen .

Editor information

Editors and Affiliations

  1. University of British Columbia, Vancouver, BC, Canada

    Carson Woo

  2. University of Helsinki, Helsinki, Finland

    Jiaheng Lu

  3. Northwestern Polytechnical University, Xian, China

    Zhanhuai Li

  4. Department of Computer Science, National University of Singapore, Singapore, Singapore

    Tok Wang Ling

  5. Department of Computer Science and Technology, Tsinghua University, Beijing, Beijing, China

    Guoliang Li

  6. National University of Singapore, Singapore, Singapore

    Mong Li Lee

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Chen, J., Shao, M., Chen, Y., Du, X. (2018). SEED V3: Entity-Oriented Exploratory Search in Knowledge Graphs on Tablets. In: Woo, C., Lu, J., Li, Z., Ling, T., Li, G., Lee, M. (eds) Advances in Conceptual Modeling. ER 2018. Lecture Notes in Computer Science(), vol 11158. Springer, Cham. https://doi.org/10.1007/978-3-030-01391-2_2

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  • DOI: https://doi.org/10.1007/978-3-030-01391-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01390-5

  • Online ISBN: 978-3-030-01391-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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