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The CRIKE Data-Science Process for Legal Knowledge Extraction
In this paper, we present CRIKE, a data-science approach
to automatically detect concrete applications of legal abstract terms in
case-law decisions. To this purpose, CRIKE relies on the use of the LATO
ontology where legal abstract terms are properly formalized as concepts
and relations among concepts. Using LATO, CRIKE aims at discovering
how and where legal abstract terms are applied by judges in their legal
argumentation. Moreover, we detect the terminology used in the text of
case-law decisions to characterize concrete abstract-term instances