Semantic Image Search: Case Study for Western Region Tourism in Thailand
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초록
Typical search engines may not be the most efficient means of returning images in accordance with userrequirements. With the help of semantic web technology, it is possible to search through images moreprecisely 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 reportson the design of a tourism ontology relevant to touristic images. In particular, the image features and themeaning of the images are described using various properties, along with other types of information relevantto tourist attractions using the OWL language. The methodology used is described, commencing withbuilding an image and tourism corpus, creating the ontology, and developing the search engine. The systemwas tested through a case study involving the western region of Thailand. The user can search specifying thespecific class of image or they can use text-based searches. The results are ranked using weighted scores basedon 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.
Abstract
Typical search engines may not be the most efficient means of returning images in accordance with userrequirements. With the help of semantic web technology, it is possible to search through images moreprecisely 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 reportson the design of a tourism ontology relevant to touristic images. In particular, the image features and themeaning of the images are described using various properties, along with other types of information relevantto tourist attractions using the OWL language. The methodology used is described, commencing withbuilding an image and tourism corpus, creating the ontology, and developing the search engine. The systemwas tested through a case study involving the western region of Thailand. The user can search specifying thespecific class of image or they can use text-based searches. The results are ranked using weighted scores basedon 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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