We have proposed a concept-driven semantic interpretation method for a spoken dialogue system that robustly understands various expressions uttered by a naive user. The method is now being improved for practical application. Domain knowledge is important for this improvement. The system must also have portability. This paper discusses the generalization of the semantic interpretation method, and proposes a method that integrates concepts using general linguistic knowledge of conceptual dependency. Speech understanding for various utterances about Kamakura sightseeing with a 1000-word vocabulary was empirically evaluated. The results show that this method can achieve a satisfactory understanding rate.