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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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Clustering moving objects in spatial networks

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12th International Conference on database Systems for Advanced Applications

作者： Chen, Jidong Lai, Caifeng Meng, Xiaofeng Xu, Jianliang Hu, Haibo School of Information Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering MOE Department of Computer Science Hong Kong Baptist University

ISBN: (纸本)9783540717027

Advances in wireless networks and positioning technologies (e.g., CPS) have enabled new data management applications that monitor moving objects. In such new applications, realtime data analysis such as clustering analysis is becoming one of the most important requirements. In this paper, we present the problem of clustering moving objects in spatial networks and propose a unified framework to address this problem. Due to the innate feature of continuously changing positions of moving objects, the clustering results dynamically change. By exploiting the unique features of road networks, our framework first introduces a notion of cluster block (CB) as the underlying clustering unit. We then divide the clustering process into the continuous maintenance of CBs and periodical construction of clusters with different criteria based on CBs. The algorithms for efficiently maintaining and organizing the CBs to construct clusters are proposed. Extensive experimental results show that our clustering framework achieves high efficiency for clustering moving objects in real road networks.

关键词： spatial-temporal databases moving objects clustering spatial networks

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Quality aware privacy protection for location-based services

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12th International Conference on database Systems for Advanced Applications, DASFAA 2007

作者： Zhen, Xiao Xiaofeng, Meng Jianliang, Xu School of Information Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering MOE Department of Computer Science Hong Kong Baptist University

ISBN: (纸本)9783540717027

Protection of users' privacy has been a central issue for location-based services (LBSs). In this paper, we classify two kinds of privacy protection requirements in LBS: location anonymity and identifier anonymity. While the location cloaking technique under the k-anonymity model can provide a good protection of users' privacy, it reduces the resolution of location information and, hence, may degrade the quality of service (QoS). To strike a balance between the location privacy and QoS, we present a quality-aware anonymity model for protecting location privacy while meeting user specified QoS requirements. In the model, a mobile user can specify the minimum anonymity level requirement upon location privacy as well as the maximum cloaking latency and the maximum cloaking region size requirements upon QoS. In accordance with the model, we develop an efficient directed-graph based cloaking algorithm to achieve both high-quality location anonymity and identifier anonymity. The performance objective is to maximize the cloaking success rate under the privacy and QoS constraints. Furthermore, we introduce an option of using dummy locations to achieve a 100% cloaking success rate at the cost of communication overhead. Experimental results show the effectiveness of our cloaking algorithm under various privacy and QoS requirements. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Tracking (position)

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Principles for Designing Activity-based Personalized eLearning

Principles for Designing Activity-based Personalized eLearni...

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International Conference on Advanced Learning Technologies (ICALT)

作者： Owen Conlan Ian O'Keeffe Aoife Brady Vincent Wade Knowledge and Data Engineering Group Department of Computer Science Trinity College Dublin Ireland

Activity-based personalized eLearning involves delivering to a learner a learning experience that is tailored to their individual needs. Traditionally, these needs have been met through the personalized selection of content that fits the learner's preferences. However, by coupling this approach with the possibilities of interactive services a more engaging form of personalized education may be realized. This paper describes the design principles for producing activity-based personalized distance learning offerings.

关键词： Electronic learning Web services computer aided instruction Adaptive systems Artificial intelligence data engineering computer science Educational institutions Navigation Automated highways

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Barrier-free on the mobility and the information for visually impaired people and hearing impaired people

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Journal of the National Institute of Information and Communications Technology 2007年第3期54卷 125-132页

作者： Oyama, Shin'ya Igi, Seiji Nishimura, Takuichi Yairi, Ikuko Eguchi Department of Computer Engineering Hakodate National College of Technology Real-World Based Interaction Group Information Technology Research Institute National Institute of Advanced Industrial Science and Technology International Alliance Division Research Promotion Department Universal City Group Knowledge Creating Communication Research Center

We have been developing Robotic Communication Terminals (RCT) which support the self-mobility of the elderly and disabled people. One of the terminals we developed is "user-carried mobile terminal" which gives the information such as the navigation to visually and hearing impaired people who can walk by themselves. In this paper, we introduce the animation system to show the sign language for hearing impaired people and the voice guidance system for visually impaired people with the infrared communication and AM radio communication.

关键词： Mobile robots

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OntoMove: A knowledge Based Framework for Semantic Requirement Profiling and Resource Acquisition

OntoMove: A Knowledge Based Framework for Semantic Requireme...

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Australian Conference on Software engineering

作者： Mehul Bhatt Wenny Rahayu Sury Prakash Soni Carlo Wouters Data Engineering and Knowledge Management Group Department of Computer Science La Trobe University Australia

The use of formal knowledge representation structures, or ontologies, has found immense applicability for the interoperability of software systems, e.g., alignment of software and business process models. Toward the management of such knowledge structures, an important foundational problem is that of ontology reuse - it is uncommon for new applications or for different components within one application to use an already available ontology in its entirety. Depending on component specific requirements, typical re-usages are restricted to refined versions of an existing ontology, with the refinement taking the form of a contraction of the knowledge contained therein. Furthermore, when the ontology is used to ascribe meaning to independently existing 'resources' (e.g., documents collections, source code, software manuals, process template repositories) by way of meta-data, there exists a direct mapping between different views/re-uses of an ontology and their respective semantic scopes within an annotated resource repository thereby leading to the concept of view/reuse dependent resource retrieval. We implement a framework that supports ontology reuse by way of a requirement driven sub-ontology extraction methodology. Additionally, based on this concept of a sub-ontology, we implement the idea of a user/component 'requirement profile' consisting of semantic descriptions of the user's interest within a 'resource repository' that has been annotated with semantic types from the ontology under consideration. A generic framework that implements these ideas and its application in the domains of medical information retrieval systems and business process management systems (BPMS) is presented.

关键词： Ontologies Application software Information retrieval Software engineering knowledge management knowledge representation data mining Resource management Software systems Semantic Web

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