AK Tourism: A Property Graph Ontology-based Tourism Recommender System

• Main Authors: Keng, Seong She, Su, Cheng Haw, Yu, Gene Loh, Fang, Fang Chua
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: HD28 Management. Industrial Management
• Online Access: http://repo.uum.edu.my/25195/1/KMICE%202018%2083%2088.pdf; http://repo.uum.edu.my/25195/; http://www.kmice.cms.net.my/ProcKMICe/KMICe2018/toc.html

Recommender system (RS) is used to overcome the problem of information overload over the World Wide Web.Most of the time, users will be returned with a huge number of links when they do a Point of Interest (POI) search for interesting places to visit via the search engine. RS overcomes the problem by analyzing automatically all the possible items information integrates with personalized user profiling (user preferences), and user rating. Specifically, ontology-based recommender system adopts new and alternative trends in recent years.Ontologies define rules to structure data, including interrelations between entities in the database.As such, it offers greater semantic relations within a particular domain. In this paper, we propose: (i) ontology representation, (ii) sample query in Cypher, and (iii) AK Tourism to demonstrate the recommender system in Malaysia tourism domain.