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BTW: There are some papers on the topics of using cyberworld visualization for large datasets at http://csdl.computer.org/comp/proceedings/cw/2004/2140/00/2140toc.htm Unfortunately, you need an IEEE subscription to read more than the abstracts. len 2004 International Conference on Cyberworlds (CW'04) 11 18 - 11, 2004 Tokyo, Japan An Improvement for Accessing Patterns through Clustering in Interactive VRML Environments Shao-Shin Hung, Ting-Chia Kuo, Damon Shing-Min Liu, National Chung Cheng University, Taiwan Since the walkthrough system may contain large-scale VRML models, the massive objects are always stored and scattered in the storage units of the walkthrough system. But this situation will increase the search time and reduce the system performance. However, this problem is never considered in the traditional walkthrough system. In this paper, we present an efficient clustering method to improve the efficiency of accessing objects. Meanwhile, the clustering methodology is particularly appropriate for the exploration of interrelationships among objects to reduce the access time. In other words, we introduce the relationships among transactions, views and objects. Based on these relationships, the clustering algorithm will determine how to cluster these objects efficiently. Besides, we suggest two clustering criteria - intra-pattern similarity table and inter-pattern frequency table. Our experimental evaluation on the walkthrough data set shows that our algorithm doesn't only significantly cut down the access time, but also enhance the performance of our system. pp. 182-187 Adaptive Documents Classification System Based on Ontology Constructed by Fuzzy Function and Fuzzy Relations Ju-in Youn, He-Jue Eun, Cheol-Jung Yoo, Yong-Sung Kim Documents based on web have been increased very rapidly according to development of web technology and the documents are very various in document structure and data type. Therefore, many intelligent information systems have applied document categorization method and semantic relation, which they developed to offer fit documents for the user. But Information system in present is unable to offer fit information for personal interesting because of the lack of related knowledge which it specify relationship between concepts based on document content. Also there are unable to interpret the content of information resources due to the lack of knowledge. Therefore, in this paper we want to express hierarchical structure in according to concept degree of different structure and data type of document on web using ontology method, which it is a specification of a conceptualization. Also we propose an algorithm to classify into the same cluster connected documents of similar meaning and reorganization use to fuzzy function and relation Geometric Querying of Time-Dependent Data for Data Mining in Molecular Dynamics Olga Sourina, Nikolay Korolev, Nanyang Technological University, Singapore Temporal Databases and Data Warehouses are essential components of intelligent information systems in Cyberworlds. This paper describes a geometric model for querying time-dependent data in databases and warehouses. An implementation and application of the model for querying of results of numerical simulation in Molecular Dynamics is discussed. Data are interpreted geometrically as multidimensional points with time dimension. A geometric query is a query solid of any shape specified by its parameters, location and time. These queries are formulated with geometric objects and operations over them to form the query solid. The geometric objects and operations are described with implicit functions. With the uniform geometric model for querying time-dependent data, 3D visualization tools can be naturally incorporated into the molecular dynamics visualization system to pose the queries
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