Development of Dining Ontology Based On Image Retrieval

This paper presents an Ontology development based on images. A set of question patterns, called predictive questions, which are predicted to be asked by users in a domain, were generated on the basis of a domain ontology. Their corresponding query templates, which can be used to extract answers to the predictive questions from a knowledge base, were generated as well. The process of producing these question patterns and query templates is described.

To retrieve images from a database using pattern matching techniques, but usually textual descriptions attached to the images are used. Semantic web ontology and metadata languages provide a new way to annotating and retrieving images. This paper considers the situation when a user is faced with an image repository whose content is complicated and semantically unknown to some extent. We show how ontologies can then be of help to the user in formulating the information need, the query, and the answers. As a proof of the concept, we have shown photos of restaurant. In this system, images are annotated according to ontologies When generating answers to the queries, the ontology combined with the image data also facilitates.

In survey of the technical achievements in the research area of Image Retrieval, is especially Content-Based Image Retrieval. The survey covers image feature representation and extraction, multi-dimensional indexing, and system design.