Abstract
While human-created knowledge bases (KBs) such as Wikidata provide usually high-quality data (precision), it is generally hard to understand their completeness. In this paper we propose to assess the relative completeness of entities in knowledge bases, based on comparing the extent of information with other similar entities. We outline building blocks of this approach, and present a prototypical implementation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dessi, A., Atzori, M.: A machine-learning approach to ranking RDF properties. Future Gener. Comput. Syst. 54, 366–377 (2016)
Galárraga, L., Razniewski, S., Amarilli, A., Suchanek, F.M.: Predicting completeness in knowledge bases. In: WSDM (2017)
Hogan, A., Polleres, A., Umbrich, J., Zimmermann, A.: Some entities are more equal than others: statistical methods to consolidate linked data. In: NeFoRS (2010)
Mirza, P., Razniewski, S., Nutt, W.: Expanding Wikidata’s parenthood information by 178%, or how to mine relation cardinalities. In: ISWC Posters & Demos (2016)
Paulheim, H.: Knowledge graph refinement: a survey of approaches and evaluation methods. Semant. Web 8(3), 489–508 (2017)
Polleres, A., Feier, C., Harth, A.: Rules with contextually scoped negation. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 332–347. Springer, Heidelberg (2006). https://doi.org/10.1007/11762256_26
Prasojo, R.E., Darari, F., Razniewski, S., Nutt, W.: Managing and consuming completeness information for wikidata using COOL-WD. In: COLD (2016)
Razniewski, S., Suchanek, F.M., Nutt, W.: But what do we actually know. In: AKBC (2016)
Rodríguez, M.A., Egenhofer, M.J.: Determining semantic similarity among entity classes from different ontologies. TKDE 15(2), 442–456 (2003)
Acknowledgment
We thank Werner Nutt for comments, and Fariz Darari for technical help. This work has been partially supported by the project “TaDaQua”, funded by the Free University of Bozen-Bolzano.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Ahmeti, A., Razniewski, S., Polleres, A. (2017). Assessing the Completeness of Entities in Knowledge Bases. In: Blomqvist, E., Hose, K., Paulheim, H., Ławrynowicz, A., Ciravegna, F., Hartig, O. (eds) The Semantic Web: ESWC 2017 Satellite Events. ESWC 2017. Lecture Notes in Computer Science(), vol 10577. Springer, Cham. https://doi.org/10.1007/978-3-319-70407-4_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-70407-4_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-70406-7
Online ISBN: 978-3-319-70407-4
eBook Packages: Computer ScienceComputer Science (R0)