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Personalised Multilingual Hypertext retrieval: An overview

Personalised Multilingual Hypertext retrieval: An overview

1st Workshop on Personalised Multilingual Hypertext Retrieval, PMHR 2011, Held in Conjunction with the ACM Hypertext 2011, HT2011

作者： Agosti, Maristella De Luca, Ernesto William Lawless, Séamus Leveling, Johannes Department of Information Engineering University of Padua Italy DAI Lab. Berlin Institute of Technology Germany Knowledge and Data Engineering Group Trinity College Dublin Ireland School of Computing Dublin City University Ireland

ISBN: (纸本)9781450308977

The aims of the workshop on Personalised Multilingual Hypertext Retri eval (PMHR) are twofold: to set the scene in this challenging area, allowing the different communities engaged in related research topics to meet and to determine a program of actions to undertake;to devise a strategy for the evaluation of PMHR systems, which should define the collection of resources to use to evaluate such systems together with the evaluation metrics to use. The workshop results will be of use in the design of personalised tools that can help end-users fully benefit from the use of distributed multilingual hypertext content. © 2011 ACM.

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Towards explanation-aware social software: Applying the mining and analysis continuum of explaining

Towards explanation-aware social software: Applying the mini...

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5th International Workshop on Explanation-Aware Computing, ExaCt 2010

作者： Atzmueller, Martin Roth-Berghofer, Thomas University of Kassel Knowledge and Data Engineering Group Wilhelmshöher Allee 73 34121 Kassel Germany GmbH Trippstadter Straße 122 67663 Kaiserslautern Germany Knowledge-Based Systems Group Department of Computer Science University of Kaiserslautern P.O. Box 3049 67653 Kaiserslautern Germany

data mining methods build patterns or models. When presenting these, all or part of the result needs to be explained to the user in order to be understandable and for increasing the user acceptance of the patterns. In doing that, a variety of dimensions in the Mining and Analysis Continuum of Explaining (MACE) needs to be considered, e.g., from concrete to more abstract explanations. This paper discusses the application of the MACE in the context of social software. We consider applications of the proposed approaches in three social software systems, and show how the data mining results can seamlessly be analysed on the presented continuous dimensions and levels.

关键词： Application programs

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A framework for specification and performance evaluation of service discovery protocols in mobile ad-hoc networks

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Ad Hoc Networks 2006年第1期4卷 1-23页

作者： Shenoi, Avinash Yesha, Yelena Yesha, Yaacov Joshi, Anupam Department of Computer Science and Electrical Engineering University of Maryland Baltimore County 1000 Hilltop Circle Baltimore MD 21250 United States Ebiquity Research Group Department of Computer Science and Electrical Engineering University of Maryland Baltimore County IEEE Transaction on Knowledge and Data Engineering IEEE ACM UMBC IEEE Transactions of Fuzzy Systems IEEE IEEE-CS ACM

Service discovery protocols are extremely important for developing distributed applications in ad-hoc environments. However to perform Service Discovery in mobile ad-hoc networks requires the design and development of extremely complex and dynamic systems. This requires a paradigm shift in the methodologies employed to design and evaluate these systems so as to ensure quality and correctness. Currently there exists no generic method for formally specifying these systems. Due to this it is extremely difficult to formally analyze protocols in this domain to study and observe the behavior. The same issue also hinders comparison of different protocols against a fixed set of metrics. In this work we propose a framework for the formal specification of service discovery protocols in mobile ad-hoc networks. The purpose of this framework is to provide a formal basis for performance evaluation and behavioral study of these protocols. This allows different service discovery architectures to be evaluated against a given set of metrics, a generic way to specify protocols and an automated process for performance evaluation and behavioral study. © 2004 Elsevier B.V. All rights reserved.

关键词： Network protocols

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Modeling and Mining Ubiquitous Social Media 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Martin Atzmueller Alvin Chin Denis Helic Andreas Hotho

ISBN: (数字)9783642336843

ISBN: (纸本)9783642336836

This book constitutes the joint thoroughly refereed post-proceedings of the Second International Workshop on Modeling Social Media, MSM 2011, held in Boston, MA, USA, in October 2011, and the Second International Workshop on Mining Ubiquitous and Social Environments, MUSE 2011, held in Athens, Greece, in September 2011. The 9 full papers included in the book are revised and significantly extended versions of papers submitted to the workshops. They cover a wide range of topics organized in three main themes: communities and networks in ubiquitous social media; mining approaches; and issues of user modeling, privacy and security.

关键词： Artificial Intelligence User Interfaces and Human Computer Interaction data Mining and knowledge Discovery Information Storage and Retrieval Computer System Implementation Computers and Society

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Towards Policy Decomposition for Autonomic Systems Governance by Applying Biologically Inspired Techniques.

Towards Policy Decomposition for Autonomic Systems Governanc...

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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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Assessing the quality of geospatial linked data - Experiences from ordnance survey Ireland (OSi) 14

Assessing the quality of geospatial linked data - Experience...

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Posters and Demos Track of the 14th International Conference on Semantic Systems, SEMPDS 2018

作者： Debattista, Jeremy Clinton, Eamon Brennan, Rob Knowledge and Data Engineering Group ADAPT Centre School of Computer Science and Statistics Trinity College Dublin Dublin 2 Ireland Ordnance Survey Ireland Phoenix Park Dublin 8 Ireland

Ordnance Survey Ireland (OSi) is Ireland's national mapping agency that is responsible for the digitisation of the island's infrastructure in terms of mapping. Generating data from various sensors (e.g. spatial sensors), OSi build its knowledge in the Prime2 framework, a subset of which is transformed into geo-Linked data. In this paper we discuss how the quality of the generated sematic data fares against datasets in the LOD cloud. We set up Luzzu, a scalable Linked data quality assessment framework, in the OSi pipeline to continuously assess produced data in order to tackle any quality problems prior to publishing. © 2018 CEUR-WS. All Rights Reserved.

关键词： Linked data

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18th International World Wide Web Conference, WWW 2009

作者： Markines, Benjamin Benz, Dominik Cattuto, Ciro Hotho, Andreas Menczer, Filippo Stumme, Gerd School of Informatics Indiana University Bloomington IN United States Complex Networks Lagrange Laboratory Institute for Scientific Interchange Foundation Torino Italy Knowledge and Data Engineering Group University of Kassel Germany

ISBN: (纸本)9781605584874

Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, and which measures are best suited for applications such as navigation support, semantic search, and ontology learning. Here we build an evaluation framework to compare various general folksonomy-based similarity measures derived from established information-theoretic, statistical, and practical measures. Our framework deals generally and symmetrically with users, tags, and resources. For evaluation purposes we focuson similarity among tags and resources, considering different ways to aggregate annotations across users. After comparing how tag similarity measures predict user-created tag relations, we provide an external grounding by user-validated semantic proxies based on WordNet and the Open Directory. We also investigate the issue of scalability. We find that mutual information with distributional micro-aggregation across users yields the highest accuracy, but is not scalable;per-user projection with collaborative aggregation provides the best scalable approach via incremental computations. The results are consistent across resource and tag similarity. Copyright is held by the International World Wide Web Conference Committee (IW3C2).

关键词： Ontology

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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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Non-invasive Browser Based User Modeling Towards Semantically Enhanced Personlization of the Open Web

Non-invasive Browser Based User Modeling Towards Semanticall...

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International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Kevin Koidl Owen Conlan Lai Wei Ann Marie Saxton Knowledge and Data Engineering Group SCSS Trinity College Dublin Dublin Ireland

Currently the user's web search is disjoint from the resources which is subsequently browsed. Specifically the related instances of the search are not displayed on the following pages. This lack of continuity between the actual search and the web sites displayed may lead to skimming by the user to identify what is relevant on the pages. This paper presents an approach to the continuous modeling of a user's interests through a browser based plug-in that may be used to inform the intelligent highlighting of content on the browsed pages. Specifically the paper presents two related systems, one for capturing and modeling the user's browsing behavior and the second for leveraging the power of linked data to highlight information relevant to the user's interests. The design, implementation and evaluation of both systems are presented as well as a conclusion and outlook for further work.

关键词： Adaptation model Internet Web pages Electronic publishing Browsers Encyclopedias

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Analyzing the impact of data vectorization on distance relations

Analyzing the impact of data vectorization on distance relat...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Sebastian Stober Andreas Nürnberger Data & Knowledge Engineering Group Otto-von-Guericke University of Magdeburg Germany

Some popular algorithms used in Music Information Retrieval (MIR) such as Self-Organizing Maps (SOMs) require the objects they process to be represented as vectors, i.e. elements of a vector space. This is a rather severe restriction and if the data does not adhere to it, some means of vectorization is required. As a common practice, the full distance matrix is computed and each row of the matrix interpreted as an artificial feature vector. This paper empirically investigates the impact of this transformation. Further, an alternative approach for vectorization based on Multidimensional Scaling is pro posed that is able to better preserve the actual distance relations of the objects which is essential for obtaining a good retrieval performance.

关键词： Equations Euclidean distance Self organizing feature maps Instruments Eigenvalues and eigenfunctions Training

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