In this paper, we present an interdisciplinary computational framework towards modeling and integrating recurrent biological interaction network in time and space dimensions by applying dynamic Bayesian methods to a s...
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the aim of this paper is to present a methodology for context sensitive systems development. Based on a generic definition of context, the proposed methodology allows modeling of contexts for a specific system with di...
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this paper presents a novel language-independent context-based sentence alignment technique given parallel corpora. We can view the problem of aligning sentences as finding translations of sentences chosen from differ...
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ISBN:
(纸本)9783540742548
this paper presents a novel language-independent context-based sentence alignment technique given parallel corpora. We can view the problem of aligning sentences as finding translations of sentences chosen from different sources. Unlike current approaches which rely on pre-defined features and models, our algorithm employs features derived from the distributional proper-ties of sentences and does not use any language dependent knowledge. We make use of the context of sentences and introduce the notion of Zipfian word vectors which effectively models the distributional properties of a given sentence. We accept the context to be the frame in which the reasoning about sentence alignment is done. We examine alternatives for local context models and demonstrate that our context based sentence alignment algorithm per-forms better than prominent sentence alignment techniques. Our system dynamically selects the local context for a pair of set of sentences which maximizes the correlation. We evaluate the performance of our system based on two different measures: sentence alignment accuracy and sentence alignment coverage. We compare the performance of our system with commonly used sentence alignment systems and show that our system performs 1.1951 to 1.5404 times better in reducing the error rate in alignment accuracy and coverage.
the present paper is an attempt to construct a theoretical model of the context of social action based on a reinterpretation of the sociological theory of social fields as developed by Pierre Bourdieu. using his notio...
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ISBN:
(纸本)9783540742548
the present paper is an attempt to construct a theoretical model of the context of social action based on a reinterpretation of the sociological theory of social fields as developed by Pierre Bourdieu. using his notions of different types of capital and other tools, a multidimensional model of context is presented in which dimensions are defined as fields affected by (and affecting) a given social action. Focus in the paper is on discursive behaviour, but following the assumptions of linguistic pragmatics, discourse is considered here just as a specific form of broadly defined social action. thus an attempt is made at linking studies on context from linguistics withthose from sociology. Social action is theorized, as in Bourdieu's models, as a process of conversion of different types of capital. the strategic use of particular types of capital is considered as another dimension of contextualization of social action.
In times where users need to process an ever increasing amount of information to perform more complex tasks in less time, the introduction of context in computer systems is becoming a necessity. However, building a co...
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ISBN:
(纸本)9783540742548
In times where users need to process an ever increasing amount of information to perform more complex tasks in less time, the introduction of context in computer systems is becoming a necessity. However, building a context-sensitive system entails more work in comparison to traditional systems development: in the former, one must care for context-related tasks, such as the acquisition, processing, storage, manipulation and presentation of contextual elements. context management proposes the separation of context related tasks from the application's business features. this paper presents a study on context management and discusses our proposal for a context manager, called CEManTIKA (contextual Elements Management through Incremental Knowledge Acquisition). A scenario is presented to illustrate its applicability.
the concept of goal is central in Artificial Intelligence and its modelling is a challenging issue. It has been given much attention in areas such as Requirement Engineering (RE) and Planning and Scheduling, where its...
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ISBN:
(纸本)9783540742548
the concept of goal is central in Artificial Intelligence and its modelling is a challenging issue. It has been given much attention in areas such as Requirement Engineering (RE) and Planning and Scheduling, where its modelling can support formal reasoning through goal types, goal attributes and relations to other components. However there is a lack of formalisms able to reason with goal structures in dynamic environments. We claim that a logical framework based on Intuitionistic Type theory and more precisely, on Dependent Record Types is able to address this problem. the formal foundations rely on context modelling through dependent record types allowing partial knowledge and dynamic reasoning. For the purpose of goal modelling, we introduce a family of functions which map context Record Types to Intentional Record Types expressing their related actions and goals. A case study in planning illustrates this approach.
Mechanisms that underlie the inductive reasoning process in risk contexts are investigated. Experimental results indicate that people rate the same inductive reasoning argument differently according to the direction o...
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ISBN:
(纸本)9783540742548
Mechanisms that underlie the inductive reasoning process in risk contexts are investigated. Experimental results indicate that people rate the same inductive reasoning argument differently according to the direction of risk aversion. In seeking to provide the most valid explanation of this, two kinds of models based on a Support Vector Machine (SVM) that process different knowledge spaces are proposed and compared. these knowledge spaces-a feature-based space and a category-based space-are both constructed from the soft clustering of the same corpus data. the simulation for the category-based model resulted in a slightly more successful replication of experimental findings for two kinds of risk conditions using two different estimated model parameters than the other simulation. Finally, the cognitive explanation by the category-based model based on a SVM for contextual inductive reasoning is discussed.
the paper presents a computational model of context sensitive judgment, called JUDGEMAP, which has been developed for modeling judgment on a subjective scale. this paper presents an attempt to apply the same model to ...
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ISBN:
(纸本)9783540742548
the paper presents a computational model of context sensitive judgment, called JUDGEMAP, which has been developed for modeling judgment on a subjective scale. this paper presents an attempt to apply the same model to the case of judgment on an objective scale. this is a big challenge since the behavioral data are showing the opposite type of effects. thus we have repeatedly obtained contrast effects of irrelevant information, when judging on a subjective scale. In the experiment described here we obtained an assimilation effect in exactly the same conditions except that the scale was objective. Without any changes of the model we run the corresponding simulations and there are a good and bad news. the bad news is that we did not obtain the assimilation effect, but the good news is that the contrast effect disappeared. the paper discusses possible reasons for these results and possible ways to improve the model.
Two-hemisphere model driven (2HMD) approach assumes modeling and use of procedural and conceptual knowledge on equal and related basis according to the principles of Model Driven Architecture (MDA), which separates di...
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ISBN:
(纸本)9781586037154
Two-hemisphere model driven (2HMD) approach assumes modeling and use of procedural and conceptual knowledge on equal and related basis according to the principles of Model Driven Architecture (MDA), which separates different aspects of system modeling. this differentiates 2HMD approach from pure procedural, pure conceptual, and object oriented approaches. the approach may be applied in the context of modeling of a particular business domain as well as in the context of modelingthe knowledge about the domain. therefore, the principles of MDA via 2HMD approach may be applied not only in the context of software development but also in the context of the study course and program development. Knowledge modeling by 2HMD approach gives an opportunity to transparently analyze and compare knowledge to be provided and knowledge actually provided by courses belonging to a particular study program, and, thus, to identify and fill gaps between desirable and actual knowledge content of the study program.
the objective of novel e-learning strategies is to educate the learner during his actual work process. We focus on this new approach of in-place and in-time e-learning, which offers learning resources right in time th...
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ISBN:
(纸本)9783540742548
the objective of novel e-learning strategies is to educate the learner during his actual work process. We focus on this new approach of in-place and in-time e-learning, which offers learning resources right in time the user is in need for it. A crucial factor for those modern task-oriented e-learning software is the user's context. To deliver learning resources to the user, which are both suitable and helpful with regards to the user's current work situation and his competencies, the application always has to consider the learner's actual work task, his environment, and history. In this paper, we present an architecture for the work task prediction, evaluate different machine learning algorithms in depth by their accuracy for that purpose and discuss the integration in our e-learning environment. this validates the possible usage in real-world business scenarios.
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