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International Multiconference on computer science and Information Technology, IMCSIT

作者： Farag Ahmed Andreas Nurnberger Data and Knowledge Engineering Group Faculty of Computer Science Otto-von-Guericke University of Magdeburg Magdeburg Germany

We present a word sense disambiguation approach with application in machine translation from Arabic to English. The approach consists of two main steps: First, a natural language processing method that deals with the rich morphology of Arabic language and second, the translation including word sense disambiguation. The main innovative features of this approach are the adaptation of the Naive Bayesian approach with new features to consider the Arabic language properties and the exploitation of a large parallel corpus to find the correct sense based on its cohesion with words in the training corpus. We expect that the resulting system will overcome the problem of the absence of the vowel signs, which is the main reason for the translation ambiguity between Arabic and other languages.

关键词： Bayesian methods

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Power conservation for strongly connected topology control in wireless sensor network

Power conservation for strongly connected topology control i...

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1st ACM International Workshop on Foundations of Wireless Ad Hoc and Sensor Networking and Computing 2008, FOWANC'08

作者： Li, Deying Du, Hongwei Chen, Wenping School of Information Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering Beijing 100872 China Department of Computer Science City University of Hong Kong Kowloon Hong Kong School of Information Renmin University of China Beijing 100872 China

ISBN: (纸本)9781605581491

Topology control is one of the most elementary topics in wireless sensor networks. Typically, most of the research only considered the bidirectional communication and symmetric weighted communication model, while the real wireless world contains not only bidirectional but also unidirectional communication links and asymmetric weighted communication model. In this paper, we present two heuristics for the minimum power topology control problem on general model, i.e., given a set of sensors in the Euclidean plane and a transmission power threshold for each directed pair of sensors, to find a power assignment for each sensor to achieve a strong connectivity with minimum total transmission power. Extensive results in simulation evaluate the efficiency of the proposed algorithms. Copyright 2008 ACM.

关键词： Wireless sensor networks

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IEEE Transactions on Haptics: Editorial

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IEEE Transactions on Haptics 2008年第1期1卷 2-8页

作者： Edward Colgate, J. Lederman, Susan Prattichizzo, Domenico Barbagli, Federico Basdogan, Cagatay Buss, Martin Ernst, Marc Frisoli, Antonio Gillespie, Brent Grant, Danny Harders, Matthias Hayward, Vincent Jones, Lynette Kajimoto, Hiroyuki Kappers, Astrid Kheddar, Abderrahmane Lin, Ming C. MacLean, Karon Miller, Brian Noma, Haruo Okamura, Allison M. O'Malley, Mareia Ryu, Jeha Tan, Hong Z. Yokokohji, Yasuyoshi Department of Psychology School of Computing Queen's University Canada IEEE Robotics and Automation Society Tübingen Germany Stanford University's Computer Science Department Tübingen Germany Institute of Automatic Control Engineering Technische Universität München Germany Independent Research Group Multisensory Perception and Action Max Planck Institute for Biological Cybernetics Tübingen Germany Department of Applied Mechanics SSSA Japan Research Division Virtual Reality and Telerobotic Systems PERCRO Laboratory Japan Department of Mechanical Engineering Japan Department of Robotics McGill University Canada Computer Vision Lab ETH Zurich Japan Virtual Reality in Medicine Group Japan IEEE CS/RAS Technical Committee on Haptics Japan Department of Electrical and Computer Engineering McGill University Canada Department of Mechanical Engineering MIT Japan University of Electro-Communications Japan Department of Physics and Astronomy Utrecht University Netherlands University of Evry France Chapel Hill United States Department of Computer Science University of British Columbia Canada ATR Knowledge Science Lab United Kingdom Department of Mechanical Engineering Denmark Johns Hopkins University United States Laboratory for Computational Sensing and Robotics United Kingdom Engineering Research Center for Computer-Integrated Surgical Systems and Technology United States Mechanical Engineering and Materials Science Department Rice University United States Korea Republic of Department of Electrical and Computer Engineering Mechanical Engineering and Psychological Sciences Purdue University United States Department of Mechanical Engineering and Science Graduate School of Engineering Kyoto University Japan

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A unified model of pollution in P2P networks

A unified model of pollution in P2P networks

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Cong Shi Dingyi Han Xinyao Hu Yong Yu Apex Data and Knowledge Management Laboratory Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai China

Nowadays many popular Peer-to-Peer (P2P) systems suffer from the simultaneous attacks of various pollution, including file-targeted attack and index-targeted attack. However, to our knowledge, there is no model that takes both of them into consideration. In fact, the two attacks impact the effect of each other. It makes the models considering either kind of pollution only fail to accurately illustrate the actual pollution. In this paper, we develop a unified model to remedy the defect. Through the analysis from the perspective of user behavior, the two attacks are integrated into the unified model as two factors impacting users' choice of the files to download. The modeled file proliferation processes are consistent to those measured in real P2P systems. Moreover, the co-effect of the two attacks is also analyzed. The extremum point of co-effect is found, which corresponds to the most efficient attack of pollution. Further analysis of the model's accuracy requires the quantitative comparison between the modeled effects of pollution and the measured ones. Nonetheless, no such metric has ever been proposed, which also causes a lot of problems in evaluating the effect of pollution and anti-pollution techniques. To fix the deficiency, we propose several metrics to assess the effect of pollution, including abort ratio, average download time of unpolluted files, etc. These metrics estimate the effect of pollution from different aspects. They are applied to the analysis of pollution emulated by our unified model. The co-effect of pollution is captured by these metrics. Furthermore, the difference between our model and the previously developed ones is also reflected by them.

关键词： Pollution measurement Peer to peer computing Internet Marketing and sales Mathematical model knowledge management computer science data engineering knowledge engineering Traffic control

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Coping with Diverse Semantic Models when Routing Ubiquitous Computing Information

Coping with Diverse Semantic Models when Routing Ubiquitous ...

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IEEE Network Operations and Management Symposium Workshops (NOMS Workshops)

作者： Song Guo John Keeney Declan O'Sullivan David Lewis Knowledge & Data Engineering Group (KDEG) Centre for Telecommunications Value Chain Research (CTVR)School of Computer Science & Statistics Trinity College Dublin Ireland

ISBN: (纸本)9781424420674

Routing of contextual information within ubiquitous computing environments is a key challenge that must be tackled for such environments to be successful. It is accepted that such routing systems need to cope with mobile and volatile sources and destinations of contextual information, and semantic-based publish subscribe systems have been proposed as a means to support this. However such systems typically assume a common semantic model underpinning the routing which limits their ability to cope with heterogeneity. In contrast, the authors have developed a semantic-based publish subscribe system that is unique in allowing several semantic models to support routing. It is known from previous work that the number of semantic models in memory directly impacts on performance of routing, and that different loading strategies are needed, the selection of which is influenced by: the characteristics of the semantic model itself, the applications using the system and the network environment. This paper however just focuses on the experiments that have been undertaken to determine the key semantic model characteristics that may influence the selection of which loading strategy to use.

关键词： Routing Ubiquitous computing Ontologies Subscriptions Publish-subscribe Context-aware services Pervasive computing Temperature sensors Context Matched filters

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Describing low-level image features using the COMM ontology

Describing low-level image features using the COMM ontology

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IEEE International Conference on Image Processing

作者： Miroslav Vacura Vojtech Svatek Carsten Saathoff Thomas Franz Raphael Troncy Prague Department of Information and Knowledge Engineering University of Economics Praque Czech Republic Institute for Computer Science University of Koblenz-Landau ISWeb Group Koblenz Germany CWI Amsterdam Netherlands

We present an innovative approach for storing and processing extracted low-level image features based on current semantic Web technologies. We propose to use the COMM multimedia ontology as a "semantic" alternative to the MPEG-7 standard, which is at the same time largely compliant with it. We describe how COMM can be used directly or through its associated Java API.

关键词： Ontologies MPEG 7 Standard Resource description framework data mining Semantic Web XML OWL Image segmentation Feature extraction Java

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On the role of pre and post-processing in environmental data mining

On the role of pre and post-processing in environmental data...

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4th Biennial Meeting of International Congress on Environmental Modelling and Software: Integrating sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008

作者： Gibert, Karina Izquierdo, Joaquín Holmes, Geoff Athanasiadis, Ioannis Comas, Joaquim Sànchez-Marrè, Miquel Department of Statistics and Operation Research Technical University of Catalonia Barcelona Catalonia Spain Knowledge Engineering and Machine Learning Group Technical University of Catalonia Barcelona Catalonia Spain Centro Multidisciplinar de Modelación de Fluidos Universidad Politécnica de Valencia Spain Department of Computer Science University of Waikato New Zealand Istituto Dalle Molle di Studi sull'Intelligenza Artificiale Lugano Switzerland University of Girona Spain

ISBN: (纸本)9788476530740

The quality of discovered knowledge is highly depending on data quality. Unfortunately real data use to contain noise, uncertainty, errors, redundancies or even irrelevant information. The more complex is the reality to be analyzed, the higher the risk of getting low quality data. knowledge Discovery from databases (KDD) offers a global framework to prepare data in the right form to perform correct analyses. On the other hand, the quality of decisions taken upon KDD results, depend not only on the quality of the results themselves, but on the capacity of the system to communicate those results in an understandable form. Environmental systems are particularly complex and environmental users particularly require clarity in their results. In this paper some details about how this can be achieved are provided. The role of the pre and post processing in the whole process of knowledge Discovery in environmental systems is discussed.

关键词： data mining

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Adaptive personalization of multimodal vehicular interfaces using a hybrid recommendation approach with fuzzy preferences

Adaptive personalization of multimodal vehicular interfaces ...

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IEEE Symposium on Intelligent Vehicle

作者： Philipp Fischer Michael Cebulla Andre Berton Andreas Nurnberger Sandro Rodriguez Garzon Group Research and Advanced Engineering Department Infotainment & Telematics Daimler AG Ulm Berlin Germany Center for Automotive Information Technology Innovations (DCAITI) Technical University Berlin Germany Department of Knowledge and Language Engineering Faculty of Computer Science Otto-von-Guericke University of Magdeburg Magdeburg Germany

User-adaptive and situation-aware presentation of information on multimodal interfaces is an important research area for coping with the increasing information load on the driver. This paper describes a comprehensive recommendation approach for inferring vague individual preferences under uncertain conditions by using fuzzy preference relations. The approach was applied to rank internet information on a multimodal driver interface in the vehicle. New information gets successively downloaded to the car by using digital media broadcast and the driver can query information (e.g. press review, cheap petrol stations, snow reports) by using natural language queries. Incoming information elements are gradually matched to ontology categories by a fuzzy membership value based on term frequency. User perferences are learned from interaction and recommendations for content items is based on the resulting preference model. Three different types of fuzzy relations are aggregated to an overall preference score: explicit preferences, implicit preferences, and global preferences. The later influence preference values of one driver based on other drivers in vehicular ad-hoc networks. Therefore, the approach is not solely based on the presence of one kind of interaction data. Furthermore, the situation is modeled using the concept of granules and influences the overall preference score.

关键词： Vehicles

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Integrating the policy dialectic into dynamic spectrum management

Integrating the policy dialectic into dynamic spectrum manag...

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2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks

作者： Lewis, David Feeney, Kevin O'Sullivan, Declan Knowledge and Data Engineering Group Department of Computer Science and Statistics Ireland CTVR Ireland Knowledge and Data Engineering Group (KDEG) Department of Computer Science and Statistics TCD Ireland

ISBN: (纸本)9781424406623

In this paper we propose a holistic approach to modeling the management of dynamic spectrum access (DSA). We argue that the range to issues involved requires not just a management scheme, but also a meta-management scheme whereby management processes are monitored, analyzed and improved. In this way different proposals for management can be refined through interaction in a dialectic that reacts to the problems and conflicts of a given management scheme as well as the changes in the technological, social, economic and political environment. We examine Stafford Beer's Viable Systems Model as a possible basis for a framework that encompasses a variety of feedback loops involved in addressing operations, management and meta-management together. We also propose how this model could be mapped onto a concrete policy meta-management system and sketch out issues worthy of further investigation in developing a holistic DSA management framework.

关键词： Metadata

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grouping abstraction and authority control in policy-based spectrum management

Grouping abstraction and authority control in policy-based s...

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2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks

作者： Feeney, Kevin Lewis, David Argyroudis, Patroklos Nolan, Keith O'Sullivan, Declan Knowledge and Data Engineering Group (KDEG) Department of Computer Science and Statistics TCD Ireland CTVR Ireland Knowledge and Data Engineering Group Department of Computer Science and Statistics Ireland CTVR TCD Ireland

ISBN: (纸本)9781424406623

The management of dynamic spectrum access requires the coordination of administrative functions across multiple organizations, from regulators to secondary market operators and commons cooperatives. Policy-based management approaches to dynamic spectrum access must therefore support a wide range of organizational types and handle the relationships between policies authored separately within those organizations. A policy language for administering dynamic access to spectrum resources has been proposed by the DARPA XG initiative. This defines an expressive and extensible language for specifying policies that determine the correct behavior of RIF transceivers as spectrum usage opportunities occur. However, this language does not yet address the mapping of policies onto the complex organizational settings that are likely to emerge in the dynamic spectrum access domain. This paper defines how the DARPA XG policy language can be integrated with a meta-policy management scheme that provides the powerful organizational modeling and policy authoring authority control needed to manage the evolution of policies in these complex organizational settings. The benefits of this integration are illustrated through a case study based on the potential use of dynamic spectrum access licenses granted in Ireland for the DySpan 2007 conference, and the organizational conflicts that even this simple scenario can yield. The practical issues of administering a multi-organizational policy management system are examined through an analysis of the interactions between existing components that are being assembled to demonstrate sophisticated policy management of a cognitive radio system.

关键词： Abstracting

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