Semantic Image Search: Case Study for Western Region Tourism in Thailand

Chantana Chantrapornchai, Netnapa Bunlaw and Chidchanok Choksuchat
Volume: 14, No: 5, Page: 1195 ~ 1214, Year: 2018
Keywords: Image Search, Ontology, Semantic Web, Tourism, Western Thailand
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Typical search engines may not be the most efficient means of returning images in accordance with user requirements. With the help of semantic web technology, it is possible to search through images more precisely in any required domain, because the images are annotated according to a custom-built ontology. With appropriate annotations, a search can then, return images according to the context. This paper reports on the design of a tourism ontology relevant to touristic images. In particular, the image features and the meaning of the images are described using various properties, along with other types of information relevant to tourist attractions using the OWL language. The methodology used is described, commencing with building an image and tourism corpus, creating the ontology, and developing the search engine. The system was tested through a case study involving the western region of Thailand. The user can search specifying the specific class of image or they can use text-based searches. The results are ranked using weighted scores based on kinds of properties. The precision and recall of the prototype system was measured to show its efficiency. User satisfaction was also evaluated, was also performed and was found to be high.

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Cite this article
IEEE Style
C. Chantrapornchai, N. Bunlaw and C. Choksuchat, "Semantic Image Search: Case Study for Western Region Tourism in Thailand," Journal of Information Processing Systems, vol. 14, no. 5, pp. 1195~1214, 2018. DOI: 10.3745/JIPS.04.0088.

ACM Style
Chantana Chantrapornchai, Netnapa Bunlaw, and Chidchanok Choksuchat. 2018. Semantic Image Search: Case Study for Western Region Tourism in Thailand, Journal of Information Processing Systems, 14, 5, (2018), 1195~1214. DOI: 10.3745/JIPS.04.0088.