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Despite recognition that context dependence is endemic to natural language, arguably one of its core properties, standard grammar formalisms remain poor vehicles for expressing this. Grammars are standardly defined in terms of principles underpinning structures inhabited by sentence strings to yield a concept of sentence wellformedness, these being defined independently of any attribute of performance;...
Mobile phone games are played in context. Although such information has been used in several prototypes, very few context-aware games have made it beyond the research lab. In our research, we investigate how the development of context-aware games needs to be changed such that their commercialization is more feasible and they can be deployed more easily. Based on the findings of the creation and evaluation...
Providing adequate support for context acquisition and management is a non-trivial task that complicates application development. To mitigate this, existing middleware systems rely on a centralized context service that manages the context of all devices located within a certain area. However, in many cases, centralized context management impacts privacy as it requires users to share their context...
In this paper we motivate and describe a dialogue manager (called Frolog) which uses classical planning to infer causal implicatures. A causal implicature is a type of Gricean relation implicature, a highly context dependent form of inference. As we shall see, causal implicatures are important for understanding the structure of task-oriented dialogues. Such dialogues locate conversational acts in...
Scientific-Workflow (SWF) management is similar to practice management. However, SWFs are stored in a repository as independent items that are reused by other actors after a complex process of contextualization, decontextualization and recontextualization. Conversely, practices are contextualized procedures applicable in different contexts. SWFs are collected in repositories in a flat way independently...
As embedded sensing systems are central to developing pervasive, context-aware services, the applications running on these systems should be intelligible to system programmers and to users. Given that sensor systems are programmed in low-level languages, manually writing high-level explanations about their decision model requires knowledge about the system architecture, and is error-prone. We explore...
In this paper we present a businesscontextinformationmanager based on a novel and generic interpretation of the context. This manager takes into account various contextual dimensions and acts as an intermediary between information system and contextual information. First, we discuss how the manager creates a snapshot of the context that is provided to the information...
The paper examines the determination of the explicit content of communication via inferential processes based on the speakers’ situational interests. The paper’s argument is based on the hypothesis that the meaning of natural language expressions depends on the situational extra-linguistic interests of speakers. It is maintained that interests affect the sentences of natural language when semantic...
In pervasive environments, presence-based application development via Presence Management Systems (PMSs) is a key factor to optimise the management of communication channels, driving productivity increase. Solutions for presence management should satisfy the interoperability requirements, in turn providing context-centric presence analysis and privacy management. In order to push PMSs towards flexible,...
To enable deep learning from a system is not a trivial matter. By including domain context in the construction of the explanations the user is able to reflect on the effects of the knowledge, and not solely on the knowledge in isolation. In addition, in our approach the contextualized knowledge is to be viewed in the context of a particular goal or objective and how any reasoning result is reached...
Pervasive computing envisions implicit interaction between people and their intelligent environments instead of individual devices, inevitably leading to groups of individuals interacting with the same intelligent environment. These environments must therefore be aware not only of user contexts and activities, but the contexts and activities of groups of users as well. This poster will demonstrate...
This paper examines global context classification in peer-to-peer ad-hoc mobile wireless networks (P2P-MANETs). To begin, circumstances are presented in which such systems would be required to classify a global context. These circumstances are expounded upon by presenting concrete scenarios from which a set of requirements are derived. Using these requirements, related work is evaluated for applicability,...
Describing context for using it within a research and development process is an ambitious task. Different people with different background knowledge, goals, and thus aspects on context are participating in such a process and require context information for different purposes. In this paper we address this issue by defining a structural description model where we regard factors relevant to the different...
Affective science conducts interdisciplinary research into the emotions and other affective phenomena. Currently, such research is hampered by the lack of common definitions of terms used to describe, categorise and report both individual emotional experiences and the results of scientific investigations of such experiences. High quality ontologies provide formal definitions for types of entities...
Ramsey’s test for conditionals seems to be in conflict with the so-called Thomason conditionals. A Thomason conditional is a conditional in which either the antecedent or the consequent is a statement about the reasoning agent’s own beliefs. Several authors have pointed out that resolving the apparent conflict is to be sought by abandoning the belief revision interpretation of the Ramsey test in favor...
Spiking neural networks are promising candidates for representing aspects of cognitive context in human memory. We extended the liquid state machine model with time-delayed connections from liquid neurons to the readout unit to better capture context phenomena. We performed experiments in the area of spoken language recognition for studying two aspects of context dependency: influence of memory and...
When designing and implementing real world ambient intelligent systems we are in need of applicable information systems engineering methods. The tools we find in the intelligent systems area focus on the knowledge engineering parts, whereas traditional software engineering techniques are usually not designed with the peculiarities of intelligent systems design in mind. This holds in particular for...
Context aware applications are reactive, they adapt to an entity’s context when the context has changed. In order to become proactive and act before the context actually has changed future contexts have to be predicted. This will enable functionalities like preloading of content or detection of future conflicts. For example if an application can predict where a user is heading to it can also check...
This paper presents a novel linguistic information extraction approach exploiting analysts’ stock ratings for statistical decision making. Over a period of one year, we gathered German stock analyst reports in order to determine market trends. Our goal is to provide business statistics over time to illustrate market trends for a user-selected company. We therefore recognize named entities within the...
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