Ontogator combining view- and ontology-based search with semantic browsing.pdf

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Ontogator combining view- and ontology-based search with semantic browsing.pdf

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Ontogator combining view- and ontology-based search with semantic browsing

Ontogator: Combining View- and Ontology-Based Search with Semantic Browsing Eero Hyvo?nen, Samppa Saarela, and Kim Viljanen Helsinki Institute for Information Technology (HIIT) / University of Helsinki P.O. Box 26, 00014 UNIV. OF HELSINKI, FINLAND Eero.Hyvonen, Samppa.Saarela, Kim.Viljanen @cs.Helsinki.FI http://www.cs.helsinki.fi/group/seco/ In: Proceedings of XML Finland 2003, Open Standards, XML, and the Public Sec- tor, Kuopio, October 30-31, 2003. Abstract. We show how the benefits of the view-based search method, devel- oped within the information retrieval community, can be combined and extended with the benefits of ontology-based annotations and search, developed within the Semantic Web community. As a proof of the concept, we have implemented an ontology- and view-based image retrieval and recommendation browser Ontoga- tor. Ontogator is innovative in two ways. Firstly, the RDFS-based ontologies used for annotating image metadata are used in the end user interface to facilitate view- based image retrieval. The views provide the user with a search function and means for getting useful overviews of the contents in the repository. Secondly, a semantic browsing function is provided by a recommender system. This sys- tem enriches instance level image metadata by the ontology and provides the user with links to semantically related relevant images. The notion of a “semantically relevant link” is specified in terms of logical rules. To illustrate and discuss the ideas, a practical application of Ontogator to a photo repository of the Helsinki University Museum is presented. 1 Introduction There are two major approaches to image information retrieval. In content-based image retrieval (CBIR) [3] the images are retrieved based on their characteristics, such as color, texture, shape, etc. In the metadata-based approach to be discussed in this paper, image retrieval is based on descriptions of the images. To retrieve images from a database, keyword-based query syst