Skip to main content

Querying and Searching Heterogeneous Knowledge Graphs in Real-time Linked Dataspaces

Abstract

As the volume and variety of data sources within a dataspace grow, it becomes a semantically heterogeneous and distributed environment; this presents a significant challenge to querying the dataspace. Approaches used for querying siloed databases fail within large dataspaces because users do not have an a priori understanding of all the available datasets. This chapter investigates the main challenges in constructing query and search services for knowledge graphs within a linked dataspace. Search and query services within a linked dataspace do not follow a one-size-fits-all approach and utilise a range of different techniques to support different characteristics of data sources and user needs.

Keywords

  • Knowledge graphs
  • Query processing
  • Data search
  • Best-effort
  • Dataspace

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Edward Curry .

Rights and permissions

Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Reprints and Permissions

Copyright information

© 2020 The Author(s)

About this chapter

Verify currency and authenticity via CrossMark

Cite this chapter

Freitas, A., O’Riáin, S., Curry, E. (2020). Querying and Searching Heterogeneous Knowledge Graphs in Real-time Linked Dataspaces. In: Real-time Linked Dataspaces. Springer, Cham. https://doi.org/10.1007/978-3-030-29665-0_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-29665-0_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29664-3

  • Online ISBN: 978-3-030-29665-0

  • eBook Packages: Computer ScienceComputer Science (R0)