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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Andoni, A., Indyk, P.: Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. Commun. ACM 51(1), 117–122 (2008)
Bordes, A., Usunier, N., García-Durán, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: NIPS, pp. 2787–2795 (2013)
Chen, J., Chen, Y., Du, X., Zhang, X., Zhou, X.: SEED: a system for entity exploration and debugging in large-scale knowledge graphs. In: ICDE, pp. 1350–1353 (2016)
Chen, J., Jacucci, G., Chen, Y., Ruotsalo, T.: SEED: entity oriented information search and exploration. In: IUI, pp. 137–140 (2017)
Dong, X., et al.: Knowledge vault: a web-scale approach to probabilistic knowledge fusion. In: KDD, pp. 601–610 (2014)
Garcia-Molina, H., Ullman, J.D., Widom, J.: Database System Implementation. Prentice-Hall, Upper Saddle River (2000)
Meij, E., Balog, K., Odijk, D.: Entity linking and retrieval for semantic search. In: WSDM, pp. 683–684 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-01391-2_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01390-5
Online ISBN: 978-3-030-01391-2
eBook Packages: Computer ScienceComputer Science (R0)