In this paper, a restricted domain question answering (QA) system is described. This research presents a practical sightseeing question answering system based on integrated knowledge-base. First, we use hand-crafted corpus and online resources as knowledge-base, then perform question understanding based on sightseeing place word detection and question classification. We exploit different answer extraction strategies while based on various knowledge-base (hand-crafted corpus or online resources) for answer retrieval and generation. Experimental results show the proposed method is effective for improving our former models.