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2007 International Conference on Artificial Intelligence, ICAI 2007

作者： Shi, Lian Sun, Jigui Lu, Shuai Yin, Minghao College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun 130012 China

ISBN: (纸本)9781601320254

Description Logics are formalisms for representing knowledge of various domains in a structured and formally well-understood way. Typically, DLs are limited to dealing with precise and well defined concepts. In this paper we first present a fuzzy extension of ALC and define its syntax and semantics. Then we devote to taking advantage of the expressive power and reasoning capabilities of fuzzy ALC by encoding flexible planning problems within the framework of fuzzy ALC. Both theory and experimental results have shown that our method is sound and efficient.

关键词： Fuzzy logic

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Combinative reasoning with RCC5 and cardinal direction relations

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2nd International Conference on knowledge Science, engineering and Management, KSEM 2007

作者： Juan, Chen Dayou, Liu Changhai, Zhang Qi, Xie College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China

ISBN: (纸本)9783540767183

It is inadequate considering only one aspect of spatial information in practical problems, where several aspects are usually involved together. Reasoning with multi-aspect spatial information has become the focus of qualitative spatial reasoning. Most previous works of combing topological and directional information center on the combination with MBR based direction model or single-tile directions. The directional description is too approximate to do precise reasoning. Different from above, cardinal direction relations and RCC5 are introduced to represent directional and topological information. We investigate the mutual dependencies between basic relations of two formalisms, discuss the heterogeneous composition and give the detail composing rules. Then point out that only checking the consistency of topological and directional constraints before and after entailing by the constraints of each other respectively will result mistakes. Based on this, an improved constraint propagation algorithm is presented to enforce path consistency. And the computation complexities of checking the consistency of the hybrid constraints over various subsets of RCC5 and cardinal direction relations are analyzed at the end. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Information analysis

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Cardinal direction relations in 3D space

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2nd International Conference on knowledge Science, engineering and Management, KSEM 2007

作者： Juan, Chen Dayou, Liu Haiyang, Jia Changhai, Zhang College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China

ISBN: (纸本)9783540767183

The existing 3D direction models approximate spatial objects either as a point or as a minimal bounding block, which decrease the descriptive capability and precision. Considering the influence of object's shape, this paper extends the planar cardinal direction (CD) into 3D space and obtains a new model called TCD (three-dimensional cardinal direction). Base on the smallest cubic TCD relations and original relations, explain the correlations between basic TCD relations and block algebra. Then according to the results in block algebra, two novel ways to compute the inverse and composition of basic TCD relations are proposed. And an O(n4) algorithm to check the consistency of a set of basic TCD constraints over simple blocks is given. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Object recognition

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A model for representing topological relations between simple concave regions

A model for representing topological relations between simpl...

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7th International Conference on computational Science, ICCS 2007

作者： Jihong, OuYang Qian, Fu Dayou, Liu College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China

ISBN: (纸本)9783540725831

At present, qualitative spatial reasoning has become the hot issues in many research fields. The most popular models of spatial topological relations are Region Connection Calculus (RCC) and 9-intersection model. However, there are few contributions on topological relations of concave regions in which the representative model is Cohn's RCC23. There are some limitations of RCC23 especially in practical applications due to its less expressiveness. In order to construct a more expressive model of topological relations between concave regions, this paper completed the following works: 9-intersection matrix is extended to 16-intersection matrix, and RCC23 is refined to RCC62 based on 16-intersection matrix. More relations can be distinguished in RCC62, which is more expressive than RCC23. In order to further reason about relations in RCC62, the Conceptual Neighborhood Graph (CNG) and the Closest Topological Relation Graph (CTRG) of RCC62 are given. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Graph theory

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Populating CRAB ontology using context-profile based approaches

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2nd International Conference on knowledge Science, engineering and Management, KSEM 2007

作者： Lian, Shi Jigui, Sun Haiyan, Che College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineer Ministry of Education ChangChun 130012 China

ISBN: (纸本)9783540767183

Ontologies are widely used for capturing and organizing knowledge of a particular domain of interest, and they play a key role in the Semantic Web version, which adds a machine tractable, repurposeable layer to complement the existing web of natural language hypertext. Semantic annotation of information with respect to a underlying ontology makes it machine-processable and allows for exchanging these information between various communities. This paper investigated approaches for Ontology Population from the Web or some big corpus and proposed context-profile based approaches for Ontology Population. For each term extracted from web sites and web documents, we build a context profile of the term. The context profiles are represented as vectors such that we can calculate the similarity of two vectors. In our experiments we populate the CRAB Ontology with new instances extracted by presented approaches. Both theory and experimental results have shown that our methods are inspiring and efficient. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Ontology

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Fuzzy neural network structure identification based on soft competitive learning

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International Journal of Hybrid Intelligent Systems 2007年第4期4卷 231-242页

作者： Tian, Daxin Liu, Yanheng Wang, Jian College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University 130012 China

Fuzzy neural network combines the learning capacity of artificial neural networks with the interpretability of the fuzzy systems. A novel structure learning algorithm for fuzzy neural networks (SLNN) is presented in this paper. The neurons of SLNN are created and adapted as online learning proceeds. The learning rule of SLNN is based on Hebb as well as soft competitive learning. The soft competitive learning cannot only let SLNN be able to learn from new data but also prevent it from losing the knowledge that has been learned earlier. To obtain a concise fuzzy rule, a pruning algorithm is adopted in SLNN, which does not disobey the basic design philosophy of fuzzy system. Simulations are performed on the primary benchmarks: circle-in-the-square, two spirals apart, UCI machine learning archive's synthetic control chart time series, and KDDCUP'99 data set. Compared with fuzzy ARTMAP, BP and hierarchical neuro-fuzzy quadtree (HNFQ), the fuzzy neural network achieves higher performance.

关键词： Fuzzy neural network hebb rule competitive learning local learning

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SVM-FastICA based detection ensemble system of EEG

SVM-FastICA based detection ensemble system of EEG

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2nd International Conference on Convergent Information Technology, ICCIT 07

作者： Jindong, Zhang Guine, Qin Yue, Cui Jinnan, Dong Lishu, Guo Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University 130012 Changchun China State Key Laboratory of Automobile Dynamics Simulation Jilin University 130025 Changchun China Zhejiang Asia-Pacific Mechanical Andelectric Co. Ltd. 311023 Hangzhou China

ISBN: (纸本)0769530389

An EEG signal detection ensemble system to solve the low rate of vision detection is developed when analysis so many EEG signals. A novel FastICA method is presented, in which the independent component analysis approach is used to acquire the high order statistic information of EEG intrusion action mode and mapped the input mode space into the corresponding independent component space. Then the generalized maximal margin hyperplane is constructed in the independent component space using the support vector machine. Testing results show that the system integrates the features of FastICA and SVM to response real-time and lower the rate of false negative. © 2007 IEEE.

关键词： Support vector machines

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Gippy: Campus GIS information system supported by P2P

Gippy: Campus GIS information system supported by P2P

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2007 International Symposium on Applications and the Internet - Workshops, SAINT-W

作者： Fengyuan, Xu Zhiyi, Fang Xiao, Han Department of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory Symbolic Computation and Knowledge Engineering Education Ministry Jilin University Changchun 130012 China School of Economics and Information Systems Jilin University Changchun 130012 China

ISBN: (纸本)0769527574

Geographical Information System (GIS) integrates operation and synthesis analysis of multi-factor information, satisfying the demand of high efficiency and visual performance in human computer Interaction, whereas Peer-to-Peer (P2P) technology assigns and utilizes network resources flexibly, making information exchange more dynamic and real-time with participants' autonomy to certain extent. Therefore, by the thought of uniting information processing merits of GIS and P2P, a design method of new information service system -Gippy - is introduced to keep pace with information exchange demands among dispersed governance regions, especially as universities. It is discussed in this paper that Gippy's key achieving technologies including its applications as well as architecture characteristics. We also points out new value-added functions adopted by Gippy, and give a research on feasibility of optimizing and extending. © 2007 IEEE.

关键词： Information systems

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Complex knowledge System Modeling Based on Hierarchical Fuzzy Petri Net

Complex Knowledge System Modeling Based on Hierarchical Fuzz...

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Web Intelligence and Intelligent Agent Technology Workshops (WI-IAT)

作者： Hongjun Pan Jigui Sun College of Computer Science Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

The difficulties of modeling complex knowledge system lie in a large quantity of knowledge rules and the difficulty in organizing rules and grasping their mutual logical relationships. This article proposed a concept of hierarchical fuzzy Petri nets (HFPN), which is more suitable for modeling complex knowledge system than other fuzzy Petri net models. In addition, the concepts of abstract place and abstract transition in HFPN are allowed to describe and analyze the knowledge system at diverse abstract levels. Therefore, using HFPN, the iterative and incremental methods can be applied to modeling complex knowledge system. In addition, structured approach can be naturally applied to the process of modeling knowledge system.

关键词： knowledge based systems Fuzzy systems Petri nets Intelligent agent educational technology Conferences Fuzzy logic Sun educational institutions Computer science

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The regulation of gene expression in E-cell

The regulation of gene expression in E-cell

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3rd International Conference on Natural computation, ICNC 2007

作者： Xinhua, Lu Jigui, Sun Ying, Ren Shuai, Lu College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China Public Teaching Center Heping Division Jilin University Changchun 130012 China

ISBN: (纸本)0769528759

Gene expression is the transformational procedure from genetic information of genome to proteome which affect the life activities of cells. The Regulation of gene expression determines the structure, quantity and functions of proteome. Existing electronic cell (E-Cell) models seldom relate to simulation on the regulations of gene expressions. In this paper, the E-Cell model we propose, named Analog-Cell, in order to reappear the life activities of cells and discover new biological rules, simulates the main regulation mechanisms in gene expression through defining regulation factors, enzymes and rational reaction rules, thus Analog-Cell obtains recommendable simulative results. © 2007 IEEE.

关键词： Gene expression

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