Conclusion and future challenges

Meroño-Peñuela, Albert; Lisena, Pasquale; Martínez-Ortiz, Carlos
Book chapter N°7 in "Web Data APIs for Knowledge Graphs. Synthesis Lectures on Data, Semantics, and Knowledge", Springer, 2021, ISBN: 978-3-031-00789-7


In Chapter 1, we briefly presented Knowledge Graphs as a paradigm for publishing structured and semantically rich data on the Web, and query languages (in particular SPARQL) as a means to access the wealth of information in those Knowledge Graphs. We also pointed out some of the challenges that developers face when using these query languages, and in particular how they differ with the overwhelmingly common paradigm of Web Data APIs.


DOI
Type:
Ouvrage
Date:
2021-09-27
Department:
Data Science
Eurecom Ref:
7064
Copyright:
© Springer. Personal use of this material is permitted. The definitive version of this paper was published in Book chapter N°7 in "Web Data APIs for Knowledge Graphs. Synthesis Lectures on Data, Semantics, and Knowledge", Springer, 2021, ISBN: 978-3-031-00789-7
 and is available at : http://dx.doi.org/10.1007/978-3-031-01917-3_7
See also:

PERMALINK : https://www.eurecom.fr/publication/7064