Abstract
Personal knowledge plays a key role in the development of more intelligent applications. Applying knowledge representation techniques like knowledge graphs to the representation of personal knowledge is under active research. However, current knowledge graph construction methods are hindered by problems like absence of knowledge, ambiguity, conflicts and erroneous knowledge when applied to personal knowledge. This is largely due to its unique properties, such as its user-specific, volatile nature and limited data availability. We present in this paper a novel method supporting user input-based construction of personal knowledge graphs. We develop a new knowledge graph structure specifically to counter the said problems, and present a method that uses an iteration-specific subgraph as the intermediate layer between the user and the actual personal knowledge graph for better integration of user input. We also propose a deprecation mechanism to address the volatile nature of personal knowledge.
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References
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, pp. 1247–1250. ACM, June 2008
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data. In: The Semantic Web, pp. 722–735. Springer, Heidelberg (2007)
Acosta, M., Zaveri, A., Simperl, E., Kontokostas, D., Auer, S., Lehmann, J.: Crowdsourcing linked data quality assessment. In: International Semantic Web Conference, pp. 260–276. Springer, Heidelberg (2013)
Thaler, S., Simperl, E.P.B., Siorpaes, K.: SpotTheLink: a game for ontology alignment. Wissensmanagement 182, 246–253 (2011)
Sarasua, C., Simperl, E., Noy, N.F.: CrowdMap: crowdsourcing ontology alignment with microtasks. In: International Semantic Web Conference, pp. 525–541. Springer, Heidelberg. (2012)
Wang, J., Kraska, T., Franklin, M.J., Feng, J.: Crowder: crowdsourcing entity resolution. Proc. VLDB Endow. 5(11), 1483–1494 (2012)
Zoliner, R., Pardowitz, M., Knoop, S., Dillmann, R.: Towards cognitive robots: building hierarchical task representations of manipulations from human demonstration. In: Robotics and Automation 2005, ICRA 2005, April 2005
Kollar, T., Perera, V., Nardi, D., Veloso, M.: Learning environmental knowledge from task-based human-robot dialog. In: 2013 IEEE International Conference on Robotics and Automation (ICRA), pp. 4304–4309. IEEE, May 2013
Woźniak, P.A., Gorzelańczyk, E.J., Murakowski, J.A.: Two components of long-term memory. Acta Neurobiol. Exp. 55(4), 301–305 (1995)
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This paper was supported by the Funds Project of Shanghai High Peak IV Program (Grant DA17003).
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Sun, X., Zhang, S. (2019). User Input-Based Construction of Personal Knowledge Graphs. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 787. Springer, Cham. https://doi.org/10.1007/978-3-319-94229-2_33
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DOI: https://doi.org/10.1007/978-3-319-94229-2_33
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