Providing a complete and accurate domain model for an agent situated in a complex environment can be an extremely diicult task. Actions may have diierent eeects depending on the context in which they are taken, and actions may or may not induce their intended eeects, with the probability of success again depending on context. In addition , the contexts and probabilities that govern the eeects a...

This paper presents an empirical study about the Nested Context Language (NCL), which is a language developed to create multimedia documents and Interactive Digital TV (IDTV) applications for the Brazilian system. The goal was to obtain indicators of NCL usability in the generation of content for IDTV, since this language plays the role of interface language for users. Through data collected on...

This paper proposes a novel approach of constructing statistical preference models for context-aware personalized applications such as recommender systems. In constructing context-aware statistical preference models, one of the most important but difficult problems is acquiring a large amount of training data in various contexts/situations. In particular, some situations require a heavy workloa...

Providing a complete and accurate domain model for an agent situated in a complex environment can be an extremely diicult task. Actions may have diierent eeects depending on the context in which they are taken, and actions may or may not induce their intended eeects, with the probability of success again depending on context. We present an algorithm for automatically learning planning operators...

A major issue in information management is information update. In this paper we address this problem within the framework of a fairly general information model incorporating notions of context as a way to control and drive the update operations. We introduce three kinds of contexts: role,task and focus context. Role context relates users with update tasks, task context restricts the scope of up...

Schema matching is a critical step in many applications, such as XML message mapping, data warehouse loading, and schema integration. In this paper, we investigate algorithms for generic schema matching, outside of any particular data model or application. We first present a taxonomy for past solutions, showing that a rich range of techniques is available. We then propose a new algorithm, Cupid...

Researchers in both machine Iranslation (e.g., Brown et al., 1990) and bilingual lexicography (e.g., Klavans and Tzoukermann, 1990) have recently become interested in studying parallel texts, texts such as the Canadian Hansards (parliamentary proceedings) which are available in multiple languages (French and English). This paper describes a method for aligning sentences in these parallel texts,...

Pervasive service creation entails a complex process that involves a diversity of development aspects. Context-awareness is an important facet of pervasive service creation, which deals with the acquisition, rendering, representation and utilisation of context information. In this paper we tackle context-awareness at the application level dealing with the representation and utilisation of conte...

The context-aware application’s main feature is that the program can adjust its behavior according to the context environment. In the traditional object-oriented model, behaviors related to the context may be separated through branching statement, thus greatly reducing the degree of adaptation to environmental changes. This paper, after analyzing the issue of programming context-aware applicati...