基於知識本體之旅遊推薦系統

現代人喜歡藉由旅遊來調適步調緊湊的日常生活，隨著交通科技的發達及網路資訊爆炸性的成長，旅遊成為其中一個不錯的舒壓選擇，雖然旅遊相關的資訊可以使用搜尋引擎在網路上獲得，然而從無到有去規劃一個旅遊行程，需要耗費相當大量的時間，因搜尋引擎採用關鍵字的方式進行搜索，無法瞭解使用者真正的語意，所提供的資訊太過於龐大且關聯性低必須依依瀏覽，不僅耗費更多的時間外，如何去找尋景點附近的住宿，對於一個即將前往陌生地區的旅客，也是一項在規劃時經常會遇到的問題。針對上述所提到的問題，本研究採用語意網技術(Semantic Web Technology)及知識本體(Ontology)，並結合SPARQL 查詢語言及Fuseki 語意伺服器建置旅遊推薦系統，並設計一個友善的操作介面，除了可讓使用者查詢建立在知識本體上的旅遊資訊外，還可讓使用者更快速的取得想要的旅遊景點，讓使用者能輕易的獲得符合自身所需要的旅遊資訊，享受愉快的旅遊行程。

關鍵字

旅遊；搜尋引擎；語意網；知識本體；推薦系統

並列摘要

Modern people like to adjust their fast life through travel. Along with the development of transportation technology and explosive growth of Internet information,tourism has become a good choice for relaxation. Although travel-related information can be obtained using the search engine on the Internet, planning a travel itinerary from scratch requires a considerable amount of time. Because the search engine uses keywords to search, it is impossible to understand the user's actual semantics. The information provided is too large and the relevance is low. In addition to spending more time, how to find accommodation near attractions, for a passenger who is about to travel to a strange area, is also a problem often encountered in planning. In response to the above-mentioned problems, the research adopts Semantic Web Technology and Ontology, combines the SPARQL query language and Fuseki semantic server to build a travel recommendation system, and designs a friendly operation interface. In addition to allowing users to search for travel information based on the ontology of knowledge, users can also obtain desired tourist attractions more quickly, allowing users to easily obtain travel information that meets their needs, and enjoy a pleasant tour.