Knowledge processing is an important research field in AI.A lot of practices have proved that it is necessary for computer to really realize intelligence to has enough knowledge(i.e. knowledge base) and interconnectio...
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Knowledge processing is an important research field in AI.A lot of practices have proved that it is necessary for computer to really realize intelligence to has enough knowledge(i.e. knowledge base) and interconnections among ***,Johnson has advanced a famous three stages knowledge acquisition model,and means that knowledge is not isolated but mutally *** sufficiently show that it is necessary and feasible to research knowledge interconnection in knowledge *** the paper,we firstly introduced CR(concept-relation)-model and hierarchical concept graph(HCG),and then deeply research knowledge interconnection in National Knowledge Infrastructure(NKI).
A method of automatically generated to the space of the concept on text document is ***, cluster the text document through SOM and gain the concept of text for mark the classification,and then using the fuzzy clusteri...
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A method of automatically generated to the space of the concept on text document is ***, cluster the text document through SOM and gain the concept of text for mark the classification,and then using the fuzzy clustering to automatically generate and sum up the concept space for managing the text *** result can be used to cluster the Chinese document and generates an index of the cluster *** is an unsupervised-learning neural-network method that produces a mapping from text space into concept *** experiments and test results are shown that the space of concept does well in arranging the classification of the text and is convenient to information retrieval.
There is an urgent need for effective content-based image retrieval (CBIR) systems, and we believe the key to effective CBIR performance lies in the ability to access the image at the level of objects. Motivated by th...
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There is an urgent need for effective content-based image retrieval (CBIR) systems, and we believe the key to effective CBIR performance lies in the ability to access the image at the level of objects. Motivated by these considerations, we propose a region-based image retrieval system using max weighted bipartite matching, which can successfully solve the similarity measure of a multi-region image. The retrieval involves two stages: first, the images are segmented based on perceptual color homogeneity, for each color region, color, texture, scale, location and shape characteristics are used to represent the content of regions. Second, the max weighted bipartite matching scheme is used to measure the similarity between images. Experimental results show that a region-based approach can retrieve more relevant and more accurate images.
As a novel system description and problem solving method,agent organization can potentially decrease the difficulty of problem solving and reduce the complexity of agent *** research about agent organization are mostl...
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As a novel system description and problem solving method,agent organization can potentially decrease the difficulty of problem solving and reduce the complexity of agent *** research about agent organization are mostly being undertaken in agent organization model,organization structure,organization rules, organization formation and evolution,so it is necessary to extend the research to analyze mental states and their *** this paper,the mental states of commitments in agent organization are defined and analyzed including internal commitment,social commitment,Group commitment and organization *** semantics and properties of different commitments are given so that advances the works associated with agent organization.
Knowledge processing is an important research field in AI. A lot of research practice has proved that it is necessary for a computer to really realize intelligence to have enough knowledge (i.e. knowledge base) and in...
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Knowledge processing is an important research field in AI. A lot of research practice has proved that it is necessary for a computer to really realize intelligence to have enough knowledge (i.e. knowledge base) and interconnections among knowledge. Otherwise, Johnson has advanced a famous three stage knowledge acquisition model, where knowledge is not isolated but mutually relevant. These sufficiently show that it is necessary and feasible to research knowledge interconnection in knowledge processing. We firstly introduce the CR (concept-relation) model and hierarchical concept graph (HCG), and then research knowledge interconnection in the National Knowledge Infrastructure (NKI).
The paper focuses on how to construct student models in the online virtual educational *** firstly analyze social interaction between students in the community,and present some algorithms to model students'(person...
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The paper focuses on how to construct student models in the online virtual educational *** firstly analyze social interaction between students in the community,and present some algorithms to model students'(personal and shared) needs, preferences or knowledge structures in interaction ***,the paper proposes an integrated student model combined with student modeling in information services and task processes,and emphasizes that it builds up a foundation to personalize information services and customize online educational programs.
Virtual Museum of Chinese Nationalities is a multi-user shared virtual reality system developed to popularize the cultures and folk-customs of various ethnic groups for the public by means of cooperative work. We rega...
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ISBN:
(纸本)0660184931
Virtual Museum of Chinese Nationalities is a multi-user shared virtual reality system developed to popularize the cultures and folk-customs of various ethnic groups for the public by means of cooperative work. We regard the project as long-term research, in that there are many problems to be solved. Unlike existing systems, we should maintain scalable and interactive performance on a wide variety of computing platforms, not only high-end graphics workstations, and distribute the virtual world via a bandwidth-limited network. We introduce some architectures and algorithms realized in our current prototype, e.g., shared event mechanism, area of interest algorithm, distributed server architecture, etc.
The paper focuses on how to construct student models in the online virtual educational community. First, we analyze social interaction between students in the community, and present some algorithms to model students...
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The paper focuses on how to construct student models in the online virtual educational community. First, we analyze social interaction between students in the community, and present some algorithms to model students' (personal and shared) needs, preferences or knowledge structures in interaction activities. Then, the paper proposes an integrated student model combined with student modeling in information services and task processes, and emphasizes that it builds up a foundation to personalize information services and customize online educational programs.
As a novel system description and problem solving method, agent organization can potentially decrease the difficulty of problem solving and reduce the complexity of agent interactions. Current research about agent org...
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As a novel system description and problem solving method, agent organization can potentially decrease the difficulty of problem solving and reduce the complexity of agent interactions. Current research about agent organization are mostly being undertaken in an agent organization model, organization structure, organization rules, organization formation and evolution, so it is necessary to extend the research to analyze mental states and their relations. In the paper, the mental states of commitments in agent organization are defined and analyzed including internal commitment, social commitment, group commitment and organization commitment. The semantics and properties of different commitments are given so advancing the works associated with agent organization.
Augmented reality is the merging of synthetic sensory information into a user's perception of a real environment. As one of the most important tasks in augmented scene modeling, terrain simplification research has...
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Augmented reality is the merging of synthetic sensory information into a user's perception of a real environment. As one of the most important tasks in augmented scene modeling, terrain simplification research has gained more and more attention. In this paper, we mainly focus on point selection problem in terrain simplification using triangulated irregular network. Based on the analysis and comparison of traditional importance measures for each input point, we put forward a new importance measure based on local entropy. The results demonstrate that the local entropy criterion has a better performance than any traditional methods. In addition, it can effectively conquer the 'short-sight' problem associated with the traditional methods.
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