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IEEE Network Operations and Management Symposium Workshops (NOMS Workshops)

作者： John Keeney Vincent Wade Knowledge & Data Engineering Group School of Computer Science and Statistics Dublin Ireland

ISBN: (纸本)9781424420674

Policy-based management systems use declarative rules to govern their operation whilst satisfying the goals of the system. One of the fundamental issues in policy engineering remains the inability to automatically refine high-level goals to low level achievable goals, many of which will be interdependent and conflicting. This paper introduces the automated decomposition and refinement of management policies through the optimisation of balancing constraints by the innovative integration metaheuristic algorithms.

关键词： Humans data engineering computer science Statistics Educational institutions knowledge management engineering management Innovation management Constraint optimization Multidimensional systems

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SocialWeb Communities Executive Summary of the Dagstuhl Seminar

SocialWeb Communities Executive Summary of the Dagstuhl Semi...

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Social Web Communities 2008

作者： Alani, Harith Staab, Steffen Stumme, Gerd Address Harith Research Group ISWeb - Information Systems and Semantic Web University of Koblenz-Landau Univ.str. 1 Koblenz56016 Germany Knowledge & Data Engineering Group Department of Mathematics and Computer Science University of Kassel Wilhelmshöher Allee 73 Kassel34121 Germany

Blogs, Wikis, and Social Bookmark Tools have rapidly emerged on the Web. The reasons for their immediate success are that people are happy to share information, and that these tools provide an infrastructure for doing so without requiring any specific skills. At the moment, there exists no foundational research for these systems, and they provide only very simple structures for organising knowledge. Individual users create their own structures, but these can currently not be exploited for knowledge sharing. The objective of the seminar was to provide theoretical foundations for upcoming Web 2.0 applications and to investigate further applications that go beyond bookmark- and file-sharing. The main research question can be summarized as follows: How will current and emerging resource sharing systems support users to leverage more knowledge and power from the information they share on Web 2.0 applications? Research areas like Semantic Web, Machine Learning, Information Retrieval, Information Extraction, Social Network Analysis, Natural Language Processing, Library and Information sciences, and Hypermedia Systems have been working for a while on these questions. In the workshop, researchers from these areas came together to assess the state of the art and to set up a road map describing the next steps towards the next generation of social software. © 2008 Dagstuhl Seminar Proceedings. All rights reserved.

关键词： Natural language processing systems

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Experiments with english-Persian text retrieval

Experiments with english-Persian text retrieval

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2nd ACM Workshop on Improving Non English Web Searching, iNEWS'08, Co-located with the 17th ACM Conference on Information and knowledge Management, CIKM 2008

作者： AleAhmad, Abolfazl Amiri, Hadi Rahgozar, Masoud Oroumchian, Farhad Database Research Group School of Electrical and Computer Engineering University of Tehran North Kargar St. Tehran Iran Department of Computer Science University of Wollongong in Dubai Knowledge Village Dubai United Arab Emirates

ISBN: (纸本)9781605584164

As the number of non-English documents is increasing dramatically on the web nowadays, the study and design of information retrieval systems for these languages is very important. The Persian language is the official language of Iran, Afghanistan and Tajikistan and is also spoken in some other countries in the Middle East, so there are significant amount of Persian documents available on the web. In this study, we will present and compare our English-Persian cross language text retrieval experiments on Hamshahri text collection. Also, we will present Combinatorial Translation Probability (CTP) calculation method for query translation that estimates translation probabilities based on the collection itself. Copyright 2008 ACM.

关键词： Information retrieval systems

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Arabic/english word translation disambiguation approach based on naive bayesian classifier

Arabic/english word translation disambiguation approach base...

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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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