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2009 IEEE International Conference on Social Computing, SocialCom 2009

作者： Coelho, Bruno Martins, Constantino Almeida, Ana GECAD - Knowledge Engineering and Decision Support Group Computer Science Department Institute of Engineering Porto Portugal

ISBN: (纸本)9780769538235

This paper presents an undertaken research work about the development of an Adaptive Tourism Modeling System which attempts to correctly model a tourism web application user profile. This paper will follow the methodology used behind the concept of the application, 'User Modeling as a process', which consists of three specific modules in order to achieve a clear user modeling technology. The user representation module devises a collection of knowledge representation formalisms that co-exist in order to constitute the system's view of the user;the user reasoning module is responsible for the execution of several inference tasks as well as the generation of possibly new and valuable information about the user, using the latter module. The user concept that comes out of these two modules will ultimately be used by various kinds of application-level systems, namely a recommender system, therefore instantiating a project-dependent third module. © 2009 IEEE.

关键词： Recommender systems

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Efficient Algorithm for Computing Link-based Similarity in Real World Networks

Efficient Algorithm for Computing Link-based Similarity in R...

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9th IEEE International Conference on data Mining

作者： Cai, Yuanzhe Cong, Gao Jia, Xu Liu, Hongyan He, Jun Lu, Jiaheng Du, Xiaoyong Key Labs of Data Engineering and Knowledge Engineering Ministry of Education China Department of Computer Science Renmin University of China China Department of Computer Science Aalborg University Denmark Department of Management Science and Engineering Tsinghua University China

ISBN: (纸本)9781424452422

Similarity calculation has many applications, such as information retrieval, and collaborative filtering, among many others. It has been shown that link-based similarity measure, such as SimRank, is very effective in characterizing the object similarities in networks, such as the Web, by exploiting the object-to-object relationship. Unfortunately, it is prohibitively expensive to compute the link-based similarity in a relatively large graph. In this paper, based on the observation that link-based similarity scores of real world graphs follow the power-law distribution, we propose a new approximate algorithm, namely Power-SimRank, with guaranteed error bound to efficiently compute link-based similarity measure. We also prove the convergence of the proposed algorithm. Extensive experiments conducted on real world datasets and synthetic datasets show that the proposed algorithm outperforms SimRank by four-five times in terms of efficiency while the error generated by the approximation is small.

关键词： Similarity Calculation SimRank Graph Mining

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Open framework middleware for intelligent WSN topology adaption in smart buildings

Open framework middleware for intelligent WSN topology adapt...

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2009 International Conference on Ultra Modern Telecommunications and Workshops

作者： Brennan, Rob Tai, Wei O'Sullivan, Declan Aslam, Muhammad S. Rea, Susan Pesch, Dirk Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland Centre for Adaptive Wireless Systems Department of Electronic Engineering Cork Institute of Technology Ireland

ISBN: (纸本)9781424439416

Modern smart buildings utilize sensor networks for facilities management applications such as energy monitoring. However as buildings become progressively more embedded with sensor networks, the challenge of managing and maintaining the sensor networks themselves becomes ever more significant. As a cost-sensitive activity, facilities management deployments are less likely to deploy node redundancy and specialized technical staff to maintain these networks. Hence there are strong requirements for the network to efficiently self-diagnose, self-heal and integrate with standard buildings management systems. This paper introduces a solution for WSN management in smart buildings that addresses these issues. It is based on the deployment of the Open Framework Middleware for sensor networks coupled with a structured knowledge and rule-based fault analysis engine to perform network event correlation and root cause analysis. The system also explicitly interfaces with a Building Management System (BMS) or the scheduling of network maintenance activities such as sensor battery replacement. ©2009 IEEE.

关键词： Topology

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From subjects to concept clouds-Why semantic mapping is necessary

From subjects to concept clouds-Why semantic mapping is nece...

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1st International Workshop on knowledge Federation 2008

作者： Thomas, Hendrik Markscheffel, Bernd Redmann, Tobias Department of Information-and Knowledge Management TechnischeUniversität Ilmenau P.O. Box 100565 98693 Ilmenau Germany Knowledge / Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland

To realize the vision of the semantic web it is essential to be able to exchange formal modeled knowledge between applications and humans without loss of meaning. In this paper, we focus on questions relating to meaning, interpretation and subject identity in modern semantic web languages. Based on the semiotic triangle we show that topics as well as RDF resources are symbols, representing concepts and not referents as the common term "subject" would indicate. A subject can not be represented as a single entity, but rather as a complex and evolving system of different concepts. Based on this insight we explain how the resulting plurality and uncertainness of the interpretation of symbols can be handled using semantic mappings. By defining transformation rules, the exchange and integration of knowledge from different semantic models becomes possible. Concluding we define recommendations and design guidelines for a semantic mapping management system, which is needed to support users and applications in creating, reusing, managing and applying such semantic mappings.

关键词： Mapping

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Application development using modeling and dynamical systems analysis 09

Application development using modeling and dynamical systems...

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1st International Workshop on Context-Aware Middleware and Services, CAMS 2009

作者： O'Neill, Eleanor McGlinn, Kris Lewis, David Bailey, Eoin Dobson, Simon McCartney, Kevin Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland Systems Research Group School of Computer Science and Informatics UCD Dublin Ireland Centre for Architectural Education College of Science Engineering and Food Science University College Cork Ireland

ISBN: (纸本)9781605585253

Research on context aware systems is handicapped by the lack of readily available large scale data sets, as well as by the lack of tools by which researchers can interact effectively with such data sets across a range of scales and granularities. We show how virtual reality combined with a dynamical systems analysis approach can start to address these gaps. Simulation allows for generation of simulated sensor data at runtime and actuations of entities in the virtual world. The ease of sensor deployment and configurations in a simulated environment allows for rapid reconfigurations enabling generation of the required large scale data sets for analysis. Using these data sets, dynamical systems analysis can determine if a given application is functioning in a manner that is deemed to be correct. Copyright © 2009 ACM.

关键词： Virtual reality

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Adaptive semantic interoperability strategies for knowledge based networking

Journal of Software

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Journal of Software 2009年第8期4卷 808-820页

作者： Guo, Song Keeney, John Lewis, David O'Sullivan, Declan Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin 2 Ireland

knowledge-based networking involves the forwarding of messages across a network based on semantics of the data and associated metadata of the message content. 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. This paper examines the content heterogeneity problem in a knowledge-based Network (KBN) implementation and evaluates a mechanism for efficiently and dynamically loading ontological mappings for use with distributed and heterogeneous knowledge-based applications. It compares a number of strategies that use pre-existing semantic mapping information stored in KBN routers. Evaluation results show that this mechanism can effectively solve the heterogeneity problem. © 2009 ACADEMY PUBLISHER.

关键词： Semantics

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An Automatically Composable OWL Reasoner for Resource Constrained Devices

An Automatically Composable OWL Reasoner for Resource Constr...

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International Conference on Semantic Computing

作者： Wei Tai Rob Brennan John Keeney Declan O'Sullivan Knowledge and Data Engineering Group School of Computer Science & Statistics Trinity College Dublin Dublin Ireland

ISBN: (纸本)9781424449620

Centralized semantic sensor network systems gradually show performance degradation as the scale of the sensor network increases. Thus systems based on distributed approaches with local, autonomous management features are urgently required. In order to achieve local autonomy, it is necessary to push semantics towards the edge of the sensor network, but this is hampered by the lack of availability of lightweight ontology processing and reasoning technologies that are cognizant of the limited resources available in sensor network nodes. This paper proposes an approach to dynamically and automatically compose an ontology reasoner to provide only the level of OWL reasoning required for a given application. A design and prototype implementation are presented, with initial evaluations confirming that this approach saves memory without loss of reasoning ability, which facilitates OWL reasoning on the resource constrained devices typical in sensor networks.

关键词： OWL Ontologies Sensor systems Wireless sensor networks Prototypes computer networks Fault diagnosis Sun data engineering computer science

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Smart Miner: A new framework for mining large scale web usage data 09

Smart Miner: A new framework for mining large scale web usag...

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18th International World Wide Web Conference, WWW 2009

作者： Bayir, Murat Ali Toroslu, Ismail Hakki Cosar, Ahmet Fidan, Guven Department of Computer Science and Engineering University at Buffalo SUNY 14260 Buffalo NY United States Department of Computer Engineering METU NCC Kalkanli Guzelyurt TRNC Mersin Turkey Intelligent Data Analysis Group Department of Computer Engineering METU 06531 Ankara Turkey AGMLAB Information Technologies CyberPark Bilkent 06800 Ankara Turkey

ISBN: (纸本)9781605584874

In this paper, we propose a novel framework called Smart-Miner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation patterns. Unlike the simple session concepts in the time and navigation based approaches, where sessions are sequences of web pages requested from the server or viewed in the browser, Smart Miner sessions are set of paths traversed in the web graph that corresponds to users' navigations among web pages. We have modeled session construction as a new graph problem and utilized a new algorithm, Smart-SRA, to solve this problem efficiently. For the pattern discovery phase, we have developed an efficient version of the Apriori-All technique which uses the structure of web graph to increase the performance. From the experiments that we have performed on both real and simulated data, we have observed that Smart-Miner produces at least 30% more accurate web usage patterns than other approaches including previous session construction methods. We have also studied the effect of having the referrer information in the web server logs to show that different versions of Smart-SRA produce similar results. Our another contribution is that we have implemented distributed version of the Smart Miner framework by employing Map/Reduce Paradigm. We conclude that we can efficiently process terabytes of web server logs belonging to multiple web sites by our scalable framework. Copyright is held by the International World Wide Web Conference Committee (IW3C2).

关键词： Miners

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Incremental computation for MEDIAN cubes in what-if analysis

Incremental computation for MEDIAN cubes in what-if analysis

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Joint International Conference on Advances in data and Web Management, APWeb/WAIM 2009

作者： Xiao, Yanqin Zhang, Yansong Wang, Shan Chen, Hong Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China MOE Beijing 100872 China School of Information Renmin University of China Beijing 100872 China Computer Center Hebei University Baoding Hebei 071002 China Department of Computer Science Harbin Finance College Harbin 150030 China

ISBN: (纸本)9783642006715

What-if analysis is an important type of DSS analysis processing procedure. It analyzes hypothetical scenarios based on historical data. The data cube view must be updated when the what-if condition is changed. Since source data must be kept in order to compute the new aggregate value when new tuples are inserted or deleted, in what-if analysis, incrementally computing a data cube for holistic aggregation functions is a difficult problem. In this paper, we adopt delta cube strategy and work area technique to incrementally compute data cube for MEDIAN function. The size of work area has important influence on the efficiency of the incremental computing. This paper optimizes the size of work area based on the number and the cardinality of dimension attributes of the cuboid. Performance study shows that our algorithms are effective over large databases. © Springer-Verlag Berlin Heidelberg 2009.

关键词： Geometry

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Efficient incremental computation of CUBE in multiple versions what-if analysis

Efficient incremental computation of CUBE in multiple versio...

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Joint International Conference on Advances in data and Web Management, APWeb/WAIM 2009

ISBN: (纸本)9783642006715

What-if analysis is an important method to analyze the hypothetical scenarios based on the historical data. It provides useful information for the decision- maker. Multiple versions are critical to what-if analysis. In this paper, we analyze the problem of multiple versions data processing and the incremental computation of cubes in what-if analysis, proposing a strategy to process multiple versions of what-if data. Our solution can adopt different data processing methods according to the type of aggregate functions, the efficiency of multiple versions data processing is improved. Furthermore, we proposes an algorithm of incremental computation of CUBE for max(min) function to reduce the access time of fact table, and the experimental results showed that the performance is improved about 10%. © Springer-Verlag Berlin Heidelberg 2009.

关键词： Decision making

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