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A Web-based knowledge Map for integrating expert knowledge into higher education

A Web-based Knowledge Map for integrating expert knowledge i...

引用

International Conference on Information Technology Based Higher Education and Training, ITHET

作者： Wolfgang Backhaus Sanaz Sattari Frank Hees Klaus Henning Center for Learning and Knowledge Management and Department of Computer Science in Mechanical Engineering RWTH Aachen University Germany

knowledge Maps as knowledge-management-tools support individual learning processes by processing relevant knowledge and information and by making it available, searchable and usable. Thus, knowledge Maps can serve as a learning platform by the active work with, e.g. expert information addressed in direct bilateral exchanges or project-oriented documents. In this case knowledge is not a static supply of interlocked learning processes, but is continuously generated and associated with the actors. The paper is based upon the project WeKnow funded by the EU Socrates Programme in the field of Information and Communication Technology and Open and Distance Learning in education. The project seeks to develop a Web-based knowledge Map as an educational competence-based learning environment.

关键词： knowledge management Educational programs Industrial training computer science education computer science Mechanical engineering Communications technology computer aided instruction Communication system control Cellular phones

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Reinforcement Learning for Query-Oriented Routing Indices in Unstructured Peer-to-Peer Networks

Reinforcement Learning for Query-Oriented Routing Indices in...

引用

International Conference on Peer-to-Peer Computing

作者： Cong Shi Shicong Meng Yuanjie Liu Dingyi Han Yong Yu Apex Data and Knowledge Management Laboratory Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai China

The idea of building query-oriented routing indices has changed the way of improving routing efficiency from the basis as it can learn the content distribution during the query routing process. It gradually improves routing efficiency with no excessive network overhead of the routing index construction and maintenance. However, the previously proposed mechanism is not practically effective due to the slow improvement of routing efficiency. In this paper, we propose a novel mechanism for query-oriented routing indices which quickly achieves high routing efficiency at low cost. The maintenance method employs reinforcement learning to utilize mass peer behaviors to construct and maintain routing indices. It explicitly uses the expected value of returned content number to depict the content distribution, which helps quickly approximate the real distribution. Meanwhile, the routing method is to retrieve as many contents as possible. It also helps speed up the learning process further. The experimental evaluation shows that the mechanism has high routing efficiency, quick learning ability and satisfactory performance under churn

关键词： Learning Routing Peer to peer computing Query processing Buildings knowledge management computer science Data engineering knowledge engineering Costs

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Mining and Predicting Duplication over Peer-to-Peer Query Streams

Mining and Predicting Duplication over Peer-to-Peer Query St...

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IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Shicong Meng Yifeng Shao Cong Shi Dingyi Han Yong Yu APEX Data and Knowledge Management Laboratory Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai China

Many previous works of data mining user queries in peer-to-peer systems focused their attention on the distribution of query contents. However, few has been done towards a better understanding of the time series distribution of these queries, which is vital for system performance. To remedy this situation, this paper mines query steams by using automatic time series analysis to evaluate different linear models (Box-Jenkins models and some simple windowed-mean models) for predicting the number of duplicated queries from 10 minutes to 2 hours into the future. Both the predictive power and the computational costs of these models are evaluated over 318,942,450 real world Gnutella queries collected over 3 months. We find the number of duplicated queries is consistently predictable. Simple, practical models like AR perform well on prediction

关键词： Peer to peer computing Predictive models Power system modeling Data mining System performance Crawlers Time series analysis Computational efficiency Load management knowledge management

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Cuckoo Ring: BalancingWorkload for Locality Sensitive Hash

Cuckoo Ring: BalancingWorkload for Locality Sensitive Hash

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International Conference on Peer-to-Peer Computing

作者： Dingyi Han Ting Shen Shicong Meng Yong Yu Apex Data & Knowledge Management Laboratory Department of Computer Science & Engineering Shanghai Jiaotong University Shanghai China

Locality sensitive hash (LSH) is widely used in peer-to-peer (P2P) systems. Although it can support range or similarity queries, it breaks the load balance mechanism of traditional distributed hash table (DHT) based system by replacing consistent hash with LSH. To solve the imbalance problem, current systems either weaken the locality preserve ability from similarity preserved to order preserved or adopt load aware peer join mechanism. The first method does not support similarity query as it loses the similarity information and the second method is greatly affected by the dynamic nature of P2P networks. In this paper, we propose a novel system, cuckoo ring, which can preserve similarity information while load balanced. It does not guide the newly joining peer to the hot areas but move the items in the hot areas to cold areas so that the short life time peers are distributed uniformly across the network instead of being guided to the hot areas. Compared to traditional DHT systems, cuckoo ring only maintains a little more information about the global light load peers and the moved indexed items

关键词： Indexing Load management knowledge management computer science Data engineering knowledge engineering Nearest neighbor searches Q measurement

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Information retrieval in folksonomies: Search and ranking

引用

3rd European Semantic Web Conference, ESWC 2006

作者： Hotho, Andreas Jäschke, Robert Schmilz, Christoph Stumme, Gerd Knowledge and Data Engineering Group Department of Mathematics and Computer Science University of Kassel Wilhelmshöher Allee 73 D-34121 Kassel Germany Research Center L3S Expo Plaza 1 D-30539 Hannover Germany

ISBN: (纸本)3540345442

Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Information retrieval systems

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Emergent semantics in BibSonomy

Emergent semantics in BibSonomy

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36th Jahrestagung der Gesellschaft fur Informatik e.V. (GI): Informatik fur Menschen, INFORMATIK 2006

作者： Hotho, Andreas Jäschke, Robert Schmitz, Christoph Stumme, Gerd Knowledge and Data Engineering Group Department of Mathematics and Computer Science University of Kassel Wilhelmshöher Allee 73 D-34121 Kassel Germany Research Center L3S Expo Plaza 1 D-30539 Hannover Germany

ISBN: (纸本)9783885791881

关键词： Semantics

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A product oriented approach to Dynamic Scheduling

A product oriented approach to Dynamic Scheduling

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IEEE International Conference on Industrial Technology (ICIT)

作者： Ana Almeida Lino Figueiredo Knowledge Engineering and Decision Support Research Group-GECAD Computer Science Department Institute Engineering of Porto Porto Portugal Knowledge Engineering and Decision Support Research Group-GECAD Electronic Department Institute Engineering of Porto Porto Portugal

The purpose of this paper is to present a system for dynamic scheduling of manufacturing orders using a product oriented approach, to be used in an integrated manner for dynamic, inter-active and iterative scheduling under a scheduling decision support system. Here is described a due date based scheduling method, where al the operations of one task are scheduled before the next task is considered, a task is considered to be the set of all the operations needed to produce one product. The referred method is to be applied to solve real world dynamic scheduling problems in a multi-order multi-resource environment, where the products to be processed have release times and due dates, and the resources are available in a limited amount. Some realistic constraints are considered, such as multilevel tasks, shared resources, alternative resources and temporal constraints. The objective is to meet the deadlines for all the tasks. Yet there is one limitation, pre-emption is not allowed.

关键词： Dynamic scheduling Job shop scheduling Processor scheduling Decision support systems knowledge engineering Humans Manufacturing systems computer science computer aided manufacturing computer integrated manufacturing

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Runtime Semantic Interoperability for Gathering Ontology-based Network Context

Runtime Semantic Interoperability for Gathering Ontology-bas...

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IEEE Symposium on Network Operations and Management

作者： J. Keeney D. Lewis D. O'Sullivan A. Roelens V. Wade A. Boran R. Richardson Knowledge & Data Engineering Group Department of Computer Science Trinity College Dublin Dublin Ireland Bell Laboratories Ireland

The trends for pushing more operational intelligence towards network elements to achieve more context-aware and self-managing behavior often requires elements to gather network knowledge without necessarily binding explicitly to all of the potential sources of that knowledge. Though event-based publish-subscribe models allow efficient distribution of knowledge where the event types are known globally, dynamic service chains, ad hoc networks and pervasive computing application all introduce a more fluid and heterogeneous range of context knowledge. This requires some runtime translation of knowledge between sources and sinks of network context. This paper builds on existing mapping techniques that use ontological forms of existing management information models to examine the extent to which these can be employed for runtime semantic interoperability for network knowledge. It presents results in developing a management knowledge delivery framework based on existing models and platforms, but which offers a more decentralized knowledge exchange mechanism

关键词： Runtime Ontologies knowledge management Intelligent networks Publish-subscribe Context modeling Fluid dynamics Ad hoc networks Pervasive computing Context-aware services

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Folkrank: A ranking algorithm for folksonomies

Folkrank: A ranking algorithm for folksonomies

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Workshop-Woche on Lernen, Wissen und Adaptivitat, LWA 2006

作者： Hotho, Andreas Jäschke, Robert Schmitz, Christoph Stumme, Gerd Knowledge and Data Engineering Group Department of Mathematics and Computer Science University of Kassel Wilhelmshöher Allee 73 D34121 Kassel Germany Research Center L3S Expo Plaza 1 D30539 Hannover Germany

In social bookmark tools users are setting up lightweight conceptual structures called folksonomies. Currently, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset. A long version of this paper has been published at the European Semantic Web Conference 2006 [3].

关键词： Semantic Web

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Improved Classification of Surface Defects for Quality Control of Car Body Panels

Improved Classification of Surface Defects for Quality Contr...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： C. Doring A. Eichhorn Xiaomeng Wang R. Kruse Department of Knowledge Processing and Language Engineering Faculty of Computer Science University of Magdeburg Magdeburg Germany BMW Group Munich Germany

The detection of the types of local surface form deviations is a major step in the automated quality assessment of car body parts during the manufacturing process. In previous studies we compared the performance of different soft computing techniques for this purpose. We achieved promising results with regard to classification accuracy and interpretability of rule bases, even though the dataset was rather small, high dimensional and unbalanced. In this paper we reconsider the collection of training examples and their assignment to defect types by the quality experts. We attempt to minimize the uncertainty of the quality experts' subjective and error-prone labelling in order to achieve a higher reliability of the defect detection. We show that refined and more accurate classification models can be built on the basis of a preprocessed training set that is more consistent. Using a partially supervised learning strategy we can report improvements in classification accuracy.

关键词： Quality control Manufacturing processes Paints Production Surface treatment Optical distortion Quality assessment Uncertainty Labeling Refining

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