Abstract
The increasing size and availability of data opens the door for new application areas. Data which has previously been kept separated can be linked and therefore enhanced with additional data from other sources. The linking of data requires a certain data representation such that it can be used in particular domains. In this paper we describe the problem of data representation and search within data exemplified by the legal domain. We propose an approach to represent the legal data (legal norms and court decisions) of Austria and show how this data can be used to build a legal knowledge graph, usable in various applications for lawyers, attorneys, citizens or journalists.
Cite
CITATION STYLE
Filtz, E. (2017). Building and processing a knowledge-graph for legal data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10250 LNCS, pp. 184–194). Springer Verlag. https://doi.org/10.1007/978-3-319-58451-5_13
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