I motivate and formalize three interactions between context and epistemic modalities, discussing (1) the effects of temporal perspective on knowledge of the future, (2) the effects of perceived risk on belief, and (3)...
详细信息
ISBN:
(纸本)9783540742548
I motivate and formalize three interactions between context and epistemic modalities, discussing (1) the effects of temporal perspective on knowledge of the future, (2) the effects of perceived risk on belief, and (3) the effects of presupposed background information on epistemic 'might'.
the definition of context experienced an evolution in the research area of context-aware computing, but still suffers from either generality or incompleteness. Furthermore, many definitions are driven by the ease of i...
详细信息
ISBN:
(纸本)9783540742548
the definition of context experienced an evolution in the research area of context-aware computing, but still suffers from either generality or incompleteness. Furthermore, many definitions are driven by the ease of implementation. this paper introduces two extensions to available context definitions that provide a natural understanding of this concept to users of context-aware applications and facilitates the engineering of this concept for software developers of such applications.
context-aware systems are software systems which adapt their behaviour according to the context of use. the requirements engineering phase is recognized as a primordial step to develop robust implementations of contex...
详细信息
ISBN:
(纸本)9783540742548
context-aware systems are software systems which adapt their behaviour according to the context of use. the requirements engineering phase is recognized as a primordial step to develop robust implementations of context-aware systems since it establishes a comprehensive understanding of the problem space. this paper proposes the context-Oriented Domain Analysis (CODA) model which is a specialized approach for analyzing, structuring, and formalizing the software requirements of context-aware systems.
the proceedings contain 9 papers. the topics discussed include: ontology-driven association rules extraction: a case of study;contexts and ontologies in schema matching;textual inference logic: take two;the user model...
the proceedings contain 9 papers. the topics discussed include: ontology-driven association rules extraction: a case of study;contexts and ontologies in schema matching;textual inference logic: take two;the user model and context ontology GUMO revisited for future web 2.0 extensions;context-sensitive referencing for ontology mapping disambiguation;the difference a day makes - recognizing important events in daily context logs;modeling adaptive behavior with conceptual spaces;opinion nets for reasoning with uncertain context information;and ontologies as contexts for constraint-based reasoning.
One of the foundations of cooperative work is the exchange of data and especially data that is bound to a file. the usage of tools like e-mail to exchange documents makes it difficult to keep the existing context and ...
详细信息
ISBN:
(纸本)9783540742548
One of the foundations of cooperative work is the exchange of data and especially data that is bound to a file. the usage of tools like e-mail to exchange documents makes it difficult to keep the existing context and metadata linked to the document. A general light-weighted approach and system-architecture will be presented that prevents the loss of document-meta-information and organizes a distributed document-context as an abstract layer that summarizes and structures available metadata. to a coherent unit.
Feature selection is necessary to reduce the dimensionality of spectral image data. Particle swarm optimization was originally developed to search only continuous spaces and, although many applications on discrete spa...
详细信息
ISBN:
(纸本)9780769529769
Feature selection is necessary to reduce the dimensionality of spectral image data. Particle swarm optimization was originally developed to search only continuous spaces and, although many applications on discrete spaces had been proposed, it could not tackle the problem of feature selection directly. We developed a formulation utilizing two particles swarms in order to optimize a desired Performance criterion and the number of selected features, simultaneously. Candidate feature sets were evaluated on a regression problem modeled using neural networks, which were trained to construct models of chemical concentration of glucose in soybeans. We present experimental results utilizing real-world spectral image data to attest the viability of the method. the particle swarms approach presented superior performance for linear modeling of chemical contents when compared to a conventional feature extraction method.
the main advantage to interdisciplinary professional practice is that it can produce novel product designs and problem solutions. However, it requires knowledge sharing and integration to leverage this potential. this...
详细信息
ISBN:
(纸本)9783540742548
the main advantage to interdisciplinary professional practice is that it can produce novel product designs and problem solutions. However, it requires knowledge sharing and integration to leverage this potential. this paper reports on a study with a method of conceptual analysis to elicit, analyse and compare conceptual models used by individual researchers, withthe ultimate aim to facilitate researchers in sharing and integrating their conceptual notions. We build on an earlier study by extending an existing conceptual model with conceptual notions from two additional researchers from an interdisciplinary research project. the results of the present study suggest that the time costs of adding more information to the existing model diminish with each addition to the existing model, and that the method of conceptual analysis can validly represent researchers' conceptual notions. Furthermore, our results offer some indication that conceptual analysis can reduce transaction costs related to grounding.
the ability to model cognitive agents depends crucially on being able to encode and infer withcontextual information at many levels (such as situational, psychological, social, organizational, political levels). We p...
详细信息
ISBN:
(纸本)9783540742548
the ability to model cognitive agents depends crucially on being able to encode and infer withcontextual information at many levels (such as situational, psychological, social, organizational, political levels). We present initial results from a novel computational framework, Coordinated Probabilistic Relational Models (CPRM), that can potentially model the combined impact of multiple contextual information sources for analysis and prediction.
context plays a crucial role when measuring the similarity of two concepts. Nonetheless, the modelling of context has been mostly neglected in existing similarity measurement theories. In this paper, we explore the in...
详细信息
ISBN:
(纸本)9783540742548
context plays a crucial role when measuring the similarity of two concepts. Nonetheless, the modelling of context has been mostly neglected in existing similarity measurement theories. In this paper, we explore the influence of context in existing similarity measurement approaches for the geospatial domain, focussing on whether and how these approaches account for it. Based on these observations, the processing of context during similarity measurement is analysed, and general implementation issues, especially ease of integration into existing, reasoning systems and computability, are discussed. the results of the different analyses are then combined into a generic set of characteristics of context for similarity measurement, with regard to the geospatial domain.
Autonomic computing is a very ambitious domain dealing with issues such as system self-management, proactive services and adaptation to unpredicted situations. the development of ubiquitous computing have shown also t...
详细信息
ISBN:
(纸本)9783540742548
Autonomic computing is a very ambitious domain dealing with issues such as system self-management, proactive services and adaptation to unpredicted situations. the development of ubiquitous computing have shown also the importance of adapting the services to their context. In general, a service cannot adapt autonomously to its context beyond the limits fixed a priori by its developer. In order to overcome this limitation, we propose a dynamically updatable service-context model (knowledge representation) that enables an adaptation platform to diagnose the service adequacy to context and automatically search for solutions in order to correct the inadequacy.
暂无评论