The major components of the system visible to the user are as follows:Ī web interface for searching for interesting events and places of interest. Of these, some 20 million entities have coordinate information. At the start of the project, this knowledge base already contains some 85 million entities and 700 million triples of information. Other material comes from some 30 content producers, including museums, public libraries, event information aggregators, healthcare officials, city officials and copyleft content providers.
A major showcase of the project results will be Turku - European Capital of Culture 2011. The project aims at immediate real world relevance by working with actual stakeholder data and prototyping the system in real world scenarios.
However, to widen the scope acute healthcare as well as longer term health promotion agendas are also considered. Our primary focus is on culture: 1) selecting and attending cultural events such as exhibitions and musical performances as well as 2) selecting and visiting points of interest such as statues, historic sites and museums. The general research goal of the SUBI project is to support people in real-world tasks at each stage from 1) planning agendas through 2) mobile use on the road to 3) reminiscing about the experienc e afterwards.
When generating answers to the queries, the ontology combined with the image data also In this system, images are annotated according to ontologies and the same conceptualization is offered to the user to facilitate focused image retrieval using the right terminology. As a proof of the concept, we have implemented a demonstrational photo exhibition using the promotion image database of the Helsinki University Museum based on semantic web technologies. We show how ontologies can then be of help to the user in formulating the information need, the query, and the answers. This paper considers the situation when a user is faced with an image repository whose content is complicated and semantically unknown to some extent. Semantic web ontology and metadata languages provide a new way to annotating and retrieving images. It is possible to retrieve images from a database using pattern matching techniques, but usually textual descriptions attached to the images are used. The binary form of an image does not tell what the image is about. As a flrst step towards this goal, an experimental semantic yellow page implementation is presented. Based on such conceptual deflnitions, the user can be provided with new content-based searching and browsing facilities, which makes the service more profltable to the advertisers and the directory service provider. We propose that in order to enhance the recall and precision of yellow page services, the advertisements should be annotated using semantic web ontologies. On the other hand, for the catalog advertiser, it may be di-cult to index the service in such a way that the prospects would not miss the service. In spite of the versatility of possibilities, it can still be di-cult to the end-user to map a need on the services ofiered. When on the web, matching the customer's need with the relevant services ofierred by companies is typically based on keyword search, table-based search, a list of service categories listed in some order, a hierarchical category system, or a combination of these. Yellow pages catalogs and corresponding directory services on the web are a widely used business concept for helping people to flnd companies providing services and selling products.