Ontologies will be crucial for the future development of Next Generation Service Delivery Platforms. While various projects have defined ontologies for the mobile domain, there is yet little agreement on a common semantic model. One reason is the intrinsically hard problem of finding, using, mapping and evolving already existing ontologies. In this paper we present the Mobile Ontology, an effort within the IST project SPICE to converge towards a standardized ontology. Our approach is based on a minimal core ontology that defines common concepts for sub-ontologies of relevant domains and that is easily extensible towards existing and future ontologies. It is our intention to make this ontology available to other projects and collaboratively work on standardized ontology for the mobile domain.

This position paper describes our approach to recognizing tasks of mobile users in a smart environment. Such high-level interpretation of behavior enables context-aware applications to adapt to the users' needs and intentions. In the AI community, plan recognition techniques have proven their applicability in recognizing the tasks of software agents in a controlled environment. However, these approaches fall short in recognizing tasks of people in a real-world environment. Therefore, we propose several extensions to plan recognition techniques by using constraints and hybrid reasoning algorithms. In addition, we propose to improve the plan recognition process with multi-step processing of context information. We also discuss how our approach leverages some of the difficulties of plan recognition in smart environments.

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