A Semantic Web Approach: Creating A Tourism Ontology For Chittagong District

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International Islamic University Chittagong


The purpose of this thesis is to utilize the Semantic Web, a web of interconnected mean ing, to develop a comprehensive tourism ontology for Chittagong district. This paper implemented ontology on tourism domain, proposed a general framework for tourism on tology and explained searching mechanism through Chittagong district tourism. Also, it presents different ways of reasoning the ontology. In general, ontology classifies the vari ables in need for some computations and creates interrelationships between them. The introduction of semantic web poses the demands for creating ontology in many domains. We have found that the utilization of ontologies within the tourism domain remains relatively limited. Notably, research into ontologies specifically focused on Chittagong tourism is entirely absent. To address this gap, this study proposed the development of a dedicated Chittagong tourism ontology. In the digital age, tourism thrives on readily available information and efficient organization. This thesis delves into the creation of a robust tourism ontology for Chittagong district, Bangladesh. By formalizing knowledge about tourism resources, attractions, and experiences, we aim to enhance information re trieval, facilitate data integration within the tourism sector. This ontology leverages the expressiveness of Web Ontology Language (OWL) to model the intricate relationships between various tourism entities. We capture details about historical sites, cultural at tractions, natural wonders, transportation networks, foods and accommodation options. The ontology also incorporates relevant concepts like accessibility, sustainability, and cultural sensitivity


This Dissertation is Submitted in Fulfillment of the Requirements for the Degree of Bachelor of Science (B.Sc.) in Computer Science and Engineering (CSE) Spring-2023


Semantic Web, Ontology, Tourism, Chittagong district, Bangladesh, OWL, Information Retrieval, Data Integration