Judicial CAse REtriever JCare from Japanese Query Sentences based on Semantic Graph Matching

Abstract

We propose the technique to realize the information retrieval based on the semantic analysis and actually develop the judicial case retrieval system called JCare. It accepts a query written in Japanese sentences and retrieves a judicial case containing the sentences describing the similar situation specified by the query. It first transforms both a judicial case and the query into semantic graphs that have nodes representing the meaning of word and arcs representing the relations (deep case) between the words. Next, it calculates the similarity between the case and the query by searching the maximum common parts that are topologically equivalent.The graph matching is speeded up by separating each semantic graph into sub-graphs based on the “View” point about a judicial case.