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International Workshop on Database and Expert Systems Applications

作者： V. Svatek J. Kosek M. Labsky J. Braza M. Kavalec M. Vacura V. Vavra V. Snasel Department of Information and Knowledge Engineering University of Economics Prague Czech Republic Department of Computer Science Technical University Ostrava Czech Republic

The Rainbow project aims at the development of a reusable, modular architecture for web (particularly, website) analysis. Individual knowledge-based modules separately analyse different types of web data and communicate the results via web-service interface. The output of analysis has the form of classes (of web resources) predefined in an ontology, extracted text, and/or addresses of retrieved web resources. Within the project, several original methods of analysis as well as (analytic) knowledge acquisition have been developed. The current domains of investigation are sites of small organisations offering products or services, and pornography sites. The paper is the first systematic overview of diverse methods developed or envisaged in Rainbow.

关键词： Data mining HTML Ontologies Semantic Web Uniform resource locators Companies Databases Topology knowledge engineering computer science

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Strategically migrating agents in itinerary graph

Strategically migrating agents in itinerary graph

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Bo Yang Da-You Liu Kun Yang Sheng-Sheng Wang College of Computer Science and Technology Open Symbol Computation and Knowledge Engineering Laboratory of State Education Department Jilin University China

ISBN: (纸本)0780378652

Mobile agent need migrate to several hosts for accomplishing its task. Migration strategy is responsible for planning out an optimal migration path, which ensures mobile agent to complete its task correctly and efficiently at the minimum cost. The paper introduces the concept of itinerary graph and presents three migration strategies based on it. Itinerary graph not only describes the migration semantics of mobile agent but also reflects the changes of software and hardware environment where mobile agent lives. During its travel, mobile agent equipped with itinerary graph perceives these changes, react quickly, modify its migration path autonomously and accomplish its task according to certain specified criterions, which embody the reactivity and autonomy of agent. Besides improving the efficiency, these migration strategies enhances the performance of mobile agent system because they avoid migration failure resulted from network disconnection or node crashing.

关键词： Mobile agents File servers Path planning Strategic planning Cost function Distributed computing Educational institutions computer science Educational technology knowledge engineering

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Scaleable GIS data transmission and visualisation

Scaleable GIS data transmission and visualisation

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International Conference on Information Visualisation (IV)

作者： J. Komzak P. Slavik Knowledge Media Institute Open University Milton Keynes UK Department of Computer Science and Engineering Czech Technical University Prague Czech Republic

Distributed geographic information systems typically handle large amounts of data; therefore the transmission and visualisation techniques used need to be scaleable to provide quick, interactive feedback. We introduce such techniques based on the data hierarchy (levels of detail). Namely, we describe focus-and-context visualisation and progressive transmission. The main aim is to discuss the combination of these techniques for different data types and for mixture of these data types.

关键词： Geographic Information Systems Data communication Data visualization Displays Focusing Feedback Bandwidth computer science Data engineering knowledge engineering

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Resource-oriented scheduling for real world manufacturing systems

Resource-oriented scheduling for real world manufacturing sy...

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IEEE International Symposium on Assembly and Manufacturing (ISAM)

作者： A. Madureira C. Ramos S.C. Silva GECAD-Knowledge Engineering and Decision Support Research Group Department of Computer Science Institute of Engineering-Polytechnic of Porto Porto Portugal Department of Production and Systems Minho University Braga Portugal

Scheduling algorithms that achieve good or near optimal solutions and can efficiently adapt them to perturbations are, in most cases, preferable to those that achieve optimal ones but that cannot implement such an adaptation. In fact, in real world, where problems are essentially of dynamic and stochastic nature, these methods or algorithms are of very little use. This is the case with most algorithms for solving the so-called static scheduling problem for different setting of both single and multi-machine systems arrangements. This paper is concerned with a scheduling system, based on Genetic Algorithms, for the resolution of the dynamic version of the same problem. An additional constraint will be considered in our approach for the JSSP, the existence of different job release and due dates and different assembly levels for the jobs.

关键词： Job shop scheduling Manufacturing systems Dynamic scheduling Assembly knowledge engineering Scheduling algorithm Processor scheduling computer science Production systems Stochastic processes

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Simultaneous manufacturing in batch production

Simultaneous manufacturing in batch production

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IEEE International Symposium on Assembly and Manufacturing (ISAM)

作者： A. Almeida C. Ramos S. do Carmo Silva GECAD-Knowledge Engineering and Decision Support Research Group Department of Computer Science Institute of Engineering-Polytechnic of Porto Porto Portugal Department of de Production and Systems Minho University Braga Portugal

This paper is concerned with the implementation of Simultaneous Manufacturing philosophy in batch production of job-shop like manufacturing systems. It addresses the processing of jobs, either simple, requiring the manufacture of a batch of parts, i.e. simple products, or complex, comprehending the parts fabrication and their multistage assembly into a batch of products. In this work the simultaneous manufacturing philosophy was implemented through the widespread use of batch overlapping, which proved particularly effective in reducing job throughput time, maintaining operating simplicity and requiring reduced coordination.

关键词： Manufacturing processes Throughput Assembly Job production systems Samarium knowledge engineering Batch production systems Manufacturing industries Job shop scheduling Processor scheduling

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A Statistical Model for Automatic Extraction of Korean Transliterated Foreign Words

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International Journal of computer Processing of Languages 2003年第1期16卷 41-62页

作者： JONG-HOON OH KEY-SUN CHOI Computer Science Division Department of EECS Korea Terminology Research Center for Language and Knowledge Engineering (KORTERM) Korea Advanced Institute of Science and Technology (KAIST) 373-1 Kusong-Dong Yusong-Gu Taejon 305-701 Korea

In this paper, we will describe a Korean transliterated foreign word extraction algorithm. In the proposed method, we reformulate the foreign word extraction problem as a syllable-tagging problem such that each syllable is tagged with a foreign syllable tag or a pure Korean syllable tag. Syllable sequences of Korean strings are modelled by Hidden Markov Model whose state represents a character with binary marking to indicate whether the syllable is part of a transliterated foreign word or not. The proposed method extracts a transliterated foreign word with high recall rate and precision rate. Moreover, our method shows good performance even with small-sized training corpora.

关键词： Transliteration Hidden Markov Model Syllable Tagging Korean Transliterated Foreign Word Cross Lingual Information Retrieval

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Speeding up fuzzy clustering with neural network techniques

Speeding up fuzzy clustering with neural network techniques

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： C. Borgelt R. Kruse Research Group Neural Networks and Fuzzy Systems Department of Knowledge Processing and Language Engineering School of Computer Science Otto-von-Guericke University of Magdeburg Germany

We explore how techniques that were developed to improve the training process of artificial neural networks can be used to speed up fuzzy clustering. The basic idea of our approach is to regard the difference between two consecutive steps of the alternating optimization scheme of fuzzy clustering as providing a gradient, which may be modified in the same way as the gradient of neural network back-propagation is modified in order to improve training. Our experimental results show that some methods actually lead to a considerable acceleration of the clustering process.

关键词： Fuzzy neural networks Neural networks Artificial neural networks Backpropagation Fuzzy systems knowledge engineering computer science Electronic mail Acceleration Multilayer perceptrons

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Syntactic representations of semantic merging operations 7th

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7th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2002

作者： Meyer, Thomas Ghose, Aditya Chopra, Samir Department of Computer Science University of Pretoria Pretoria0002 South Africa Decision Systems Laboratory School of Information Technology and Computer Science University of Wollongong WollongongNSW2522 Australia Knowledge Systems Group School of Computer Science and Engineering University of New South Wales SydneyNSW2052 Australia

ISBN: (纸本)3540440380

Recent research suggests the usefulness of conducting information merging on the level of epistemic states as an alternative to the usual approach of knowledge base merging [1,2]. We take an epistemic state to be an assignment of natural numbers to the classical valuations of the finite propositional logic under consideration. In this paper we investigate various syntactic representations of epistemic states and show how these can be employed to represent merging operations syntactically. These include ranked knowledge bases and their normals forms, as well as different versions of structures referred to as partitions. We show that there are efficient methods for transformaing any ranked knowledge base into an equivalent partition, and vice versa. We provide a uniform method for obtaining syntactic representations, in terms of partitions, of a large class of semantic merging operations. This method is linear in n times the product of the sizes of the n partitions used to represent the epistemic states to be merged. For the class of lexicographic merging operations, it can be proved that this method represents the best we can do in terms of computational complexity. We also show that the structure of some semantic merging operations can be exploited to obtain syntactic representations for them which can be determined much more efficiently than the uniform method provided. To be able to use these efficient methods, it is necessary to use ranked knowledge bases as the syntactic representational form.

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An extension of partially supervised fuzzy cluster analysis

An extension of partially supervised fuzzy cluster analysis

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： H. Timm F. Klawonn R. Kruse Department of Knowledge Processing and Language Engineering Otto-von-Guericke University of Magdeburg Germany Department of Computer Science University of Applied Sciences Braunschweig Wolfenbuttel Germany

We propose an approach to handling class information in fuzzy cluster analysis, where a class can consist of several clusters. The approach is based on a penalty term for clusters comprising several clusters.

关键词： Prototypes Information analysis Clustering algorithms Fuzzy sets Zinc computer science Equations Shape

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The PROMOTE/sup /spl reg// prototype: a Meta/sup 2/Model based process oriented KMS

The PROMOTE/sup /spl reg// prototype: a Meta/sup 2/Model bas...

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International Workshop on Database and Expert Systems Applications

作者： D. Karagiannis R. Woitsch Department of Knowledge Engineering Institute for Computer Science and Business Informatics University of Vienna Vienna Austria Bäckerstrasse 5/3 BOC-ITC Limited Vienna Austria

This article introduces the EC-project PROMOTE/sup /spl reg// (IST-1999-11658) where an overall framework for process-oriented knowledge management, starting at modelling knowledge intensive business processes in a Web-environment and focusing on the knowledge management processes such as identification, access, storage, distribution and evaluation where knowledge is being developed. The main focus of this text is the analysis of requirements of such a process oriented model based knowledge management system (KMS) and the system architecture of the PROMOTE/sup /spl reg// prototype. The application scenario "Quality Management for Software Development" is introduced to depict the realisation of the KMS.

关键词： Prototypes Decision support systems Virtual reality Fiber reinforced plastics Conferences Databases Expert systems

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