Development of Semantic Search for Local Tourism Website in Case of Southern Isan of Thailand and Northern of Cambodia

Abstract

Today, tourism web data are growing every day and storing in relational database, Thai and Cambodian tourists use internet to find tourism information every day. Absolutely, the problem of information that not preferable what they are looking for with mess of data. Therefore, ontology plays an important role in semantic web search to solve the problem of tourist finding information. In this research, the main point is to adopt semantic web to the local tourism website allowing users to search information from web search engine to get relevant information. The method of development has the 6 modules as follow: (1) removing stop word from user query, (2) construction tourism ontology OWL model, (3) SPARQL query semantic related word with ontology, (4) converting relational database into RDF dataset, and (5) SPARQL query construction to query data from RDF dataset and (6) display result. Additionally, the propose approach supported the tourism information system which can search all necessary information from tourism domain such as locations, services, attractive places, activities…etc. Metric-based approach is used to evaluation ontology schema and knowledgebase. The result shown schema and knowledgebase design are preferable quality. The two systems searching show that system use only keyword to search information get a few relevant data with 12% and system use ontology keyword-based get more relevant information with 88% . It indicate that the system searching OWL model can help tourist to find information which they are looking for without waste of time and system better handling of data.