Digital map restructuring method based on implicit intentions extracted from users' operations

Abstract

In this paper, we propose a method of enhancing digital map interface by reecting users' intentions by means of automatically restructured maps. Extracted from the sequences of the users' map operations (zooming, centering, and panning), the users' intentions determine the types of objectives based on the sequence patterns or the semantic relation between place's names. We dene operation chunk mechanism, which expresses the meaning of the operation sequences, and the semantic relation, which expresses the meaning of the relation between two place's names. We also explain the restructuring function mechanism, by which the users' intentions are described, combining the operation chunks and the semantic relations. We have developed a prototype system based on this method and evaluated the appropriateness of the abovementioned denitions. The experimental results show that the restructuring function mechanism is dened appropriately, and that the automatically restructured map is suciently eective.

Location-based services deployment and demand: a roadmap model

“…The high level of customer acceptance of existing services has motivated research into the design of a next generation of personalized and specialized services building upon already popular and accepted LBS. Examples include intelligent map reconstruction enabling users to browse the map screen reflecting their 'inferred intentions' [73], personalized LBS offering a 'place-enhanced' blog integrating a blog with a personal spatial information management system [74], and mobile geographic information services for individual customers [75]. Building upon demand for existing services the new LBS to appear will not be so much focused on meeting already identified requirements but will aim to increase location value by expanding the limits of 'what is possible' with strong context relevance and enhanced personalization [63].…”