After more than three decades of research, the Decision Support Systems (DSS) community is still looking for a unified and standardized DSS development methodology. In this paper, we argue that the existing solutions ...
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After more than three decades of research, the Decision Support Systems (DSS) community is still looking for a unified and standardized DSS development methodology. In this paper, we argue that the existing solutions remain too distinct and project-specific because they fail to properly consider the context of the target DSS in their processes. this paper describes a new approach, whose goal is to formalize the notion of context in the study of DSS development. the proposed approach is based on the concept of value-based software engineering. It is structured around two techniques called the benefits-realization approach and the realization feedback process. An example is provided to illustrate how an impractical, context-free DSS development life cycle can be turned into a context-based life cycle focusing on the most success-critical aspects of the target DSS.
Proactive retrieval systems monitor a user's task context and automatically provide the user with related resources. the effectiveness of such systems depends on their ability to perform context-based retrieval, g...
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ISBN:
(纸本)354026924X
Proactive retrieval systems monitor a user's task context and automatically provide the user with related resources. the effectiveness of such systems depends on their ability to perform context-based retrieval, generating queries which return context-relevant results. Two factors make this task especially challenging for Web-based retrieval. First, the quality of Web retrieval can be strongly affected by the vocabulary used to generate the queries. If the system's vocabulary for describing the context differs from the vocabulary used in the resources themselves, relevant resources may be missed. Second, search engine restrictions on query length may make it difficult to include sufficient contextual information in a single query. this paper presents an algorithm, IACS (Incremental Algorithm for context-Based Search), which addresses these problems by building up, applying, and refining partial context descriptions incrementally. In IACS, an initial term-based context description is the starting point for a cycle of mining search engines, performing context-based filtering of results, and refining context descriptions to generate new rounds of queries in an expanded vocabulary. IACS has been applied in a system for proactively supporting concept-map-based knowledge modeling, by retrieving resources relevant to target concepts in the context of the rich information provided by "in progress" concept maps. An evaluation of the system shows that it provides significant improvements over a baseline for retrieving context-relevant resources. We expect the algorithm to have broad applicability to context-based Web retrieval for rich contexts.
We propose and develop an approach modeled with multi-attribute utility theory for sensor fusion in context-aware environments. Our approach is distinguished from existing general purpose fusion techniques by a number...
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the aim of this paper is to present an approach to modelling and usingthe context of learning in intelligent learning environments. the approach developed allows the modelling of the content and dynamics of learning ...
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Spatial and temporal granularity can be understood as parameters of context restricting the set of accessible objects in a context. Starting from the idea that this selection process depends to a large extent on the r...
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Multi-Agent Technologies propose a new paradigm of computation based on multiple autonomous agents situated in an environment, exhibiting reactive, pro-active and social behaviour. context is an important dimension to...
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Multi-Agent Technologies propose a new paradigm of computation based on multiple autonomous agents situated in an environment, exhibiting reactive, pro-active and social behaviour. context is an important dimension to take into account when building complex and open multi-level, multi-purpose systems. the increasing openness of applications strengthens the need for a common base grounded on an explicit specification of context in order to allow software units that enter a new system to adapt to their new context. In this paper we propose a context-management architecture to be used in open systems based on a multi-agent architecture. We show how agents are able to recognize the context of their decisions and to learn how to make decisions depending on it. Toward this aim, we propose en extended definition of the notion of context and use an ontology-based context representation. We validate our approach in a multi-agent system for the management of an agenda.
Appraising the environmental context in which an organization deploys its activity is a necessity in order to make appropriate decisions and adapting strategies to a context in constant evolution, especially in a time...
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Appraising the environmental context in which an organization deploys its activity is a necessity in order to make appropriate decisions and adapting strategies to a context in constant evolution, especially in a time where this context is increasingly complex, uncertain and disruptive. Decision makers therefore need more than ever better tools that aid them to analyze their environment, providing them the most pertinent information to take the most appropriate decisions. In this paper, we attempt to propose a set of reusable artifacts that would facilitate the development of decision support systems for assessing the organization's environment. In particular, we propose an ontology that defines the different elements that shall be taken into account in order to effectively and efficiently scan an environment. We then provide an overview of some analysis techniques and tools that could be useful to analyze, assess and visualize essential information about these elements. Finally, we present two decision support system prototypes that allow a partial analysis of the environment using appropriate interaction and visualization techniques.
A new topological model of camera network coverage, based on a weighted hypergraph representation, is introduced. the model's theoretical basis is the coverage strength model, presented in previous work and summar...
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ISBN:
(纸本)9781457717079
A new topological model of camera network coverage, based on a weighted hypergraph representation, is introduced. the model's theoretical basis is the coverage strength model, presented in previous work and summarized here. Optimal distribution of task processing is approximated by adapting a local search heuristic for parallel machine scheduling to this hypergraph model. Simulation results are presented to demonstrate its effectiveness.
New product design is a crucial process for the firm and always induces innovative and unstructured situations that must be deeply analysed. the firms need tools that allow essential knowledge elements to be acquired ...
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New product design is a crucial process for the firm and always induces innovative and unstructured situations that must be deeply analysed. the firms need tools that allow essential knowledge elements to be acquired and structured and new knowledge representations to be created and proposed in communication contexts, to become shared and operational models. Reasoning about context is essential for the choice and correct use of a tool or the intelligent integration of different tools to support the decision in the process. the relationships between decisional and operative contexts have been analysed in relation to real processes of new product design and three different situations of decision support are proposed as possible forms of a hybrid approach, which integrates context modelling and decision support.
Project based learning provides an ideal pedagogical context for the introduction of interdisciplinary perspectives and the facilitation of interdisciplinary competence. However, many questions about the curriculum de...
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