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Modeling location-based profiles of social image media using explorative pattern mining

Modeling location-based profiles of social image media using...

引用

2011 IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2011 and 2011 IEEE International Conference on Social Computing, SocialCom 2011

作者： Lemmerich, Florian Atzmueller, Martin Artificial Intelligence and Applied Computer Science University of Würzburg 97074 Ẅurzburg Germany Knowledge and Data Engineering Group University of Kassel 34121 Kassel Germany

ISBN: (纸本)9780769545783

This paper presents an approach for modeling location-based profiles of social image media based on tagging information and collaborative geo-reference annotations. We utilize pattern mining techniques for obtaining sets of tags that are specific for the specified point, landmark, or region of interest. Next, we show how these candidate patterns can be presented and visualized for interactive exploration using a combination of general pattern mining visualizations and views specialized on geo-referenced tagging data. We present a case study using publicly available data from the Flickr photo sharing application. © 2011 IEEE.

关键词： data mining

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Challenges in Locating Content and Services for Adaptive eLearning Courses

Challenges in Locating Content and Services for Adaptive eLe...

引用

International Conference on Advanced Learning Technologies (ICALT)

作者： Cormac Hampson Owen Conlan Vincent Wade Knowledge & Data Engineering Group Trinity College Dublin Ireland

Efficiently locating learning content and web services for adaptive and personalized online courses is a demanding research area. This paper identifies the key challenges that need to be addressed. An approach is then presented that empowers educators to locate relevant learning resources and services through domain expertise and semantics that are meaningful to them. This approach utilizes the existing SARA, SABer and Adaptive Engine systems, in order to support an application that educators can effectively engage with to form adaptive courses. A compelling case study in the Technology Enhanced Learning domain is detailed, as well as an overview of the architecture that the AMAS project uses for supporting such a scenario.

关键词： Semantics Web services Adaptive systems Electronic learning Engines Learning systems

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Profile Mining in CVS-Logs and Face-to-Face Contacts for Recommending Software Developers

Profile Mining in CVS-Logs and Face-to-Face Contacts for Rec...

引用

IEEE International Conference on and IEEE International Confernece on Social Computing (SocialCom) Privacy, Security, Risk and Trust (PASSAT)

作者： Bjoern-Elmar Macek Martin Atzmueller Gerd Stumme Knowledge and Data Engineering Group (KDE) University of Kassel Germany

In order to support a software development team in its day-to-day operations, different data sources can be exploited. In this paper, we focus on CVS logs and communication profiles between developers provided by RFID-proximity information. We provide a novel approach for combining the data sources into a graph, and apply the page rank algorithm for capturing interesting knowledge about resource and developer profiles. Additionally, we discuss the application in the software developer setting, and also for project management. The proposed approach is evaluated in the context of a real-world developer setting.

关键词： Software knowledge transfer Programming data mining Vectors Probability distribution Radiofrequency identification

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Multilingual adaptive search for digital libraries

引用

Lecture Notes in Computer Science

作者： Ghorab, M. Rami Leveling, Johannes Lawless, Séamus O'Connor, Alexander Zhou, Dong Jones, Gareth J. F. Wade, Vincent Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin 2 Ireland CNGL School of Computing Dublin City University Dublin 9 Ireland

ISBN: (纸本)9783642244681

We describe a framework for Adaptive Multilingual Information Retrieval (AMIR) which allows multilingual resource discovery and delivery using on-the-fly machine translation of documents and queries. Result documents are presented to the user in a contextualised manner. Challenges and affordances of both adaptive and multilingual IR, with a particular focus on digital libraries, are detailed. The framework components are motivated by a series of results from experiments on query logs and documents from The European Library. We conclude that factoring adaptivity and multilinguality aspects into the search process can enhance the user's experience with online digital libraries. © 2011 Springer-Verlag.

关键词： Digital libraries

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The SimCon Generator: An interactive context simulator for rapid evaluation of Smart Building Applications using Virtual Reality

The SimCon Generator: An interactive context simulator for r...

引用

IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom)

作者： Kris McGlinn Rob Brennan Declan O'Sullivan Dave Lewis Knowledge and Data Engineering Group Trinity College Dublin Dublin Ireland

This paper describes the SimCon (Simulated Context) Generator which combines data on the state of a Virtual Reality building with the SimCon Model to generate interactive location context for the rapid evaluation of Smart Building Applications. The paper evaluates the simulated context against physical readings. The SimCon Model does not set out to replace deterministic models, but rather allow for rapid configuration of simulated context early in the building design cycle to evaluate the impact of uncertainty in context on application behavior.

关键词： Context Context modeling Generators Uncertainty Solid modeling Avatars data models

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Personalised Multilingual Hypertext retrieval: An overview

Personalised Multilingual Hypertext retrieval: An overview

引用

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

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

引用

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...

引用

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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Approaches to relating and integrating semantic data from heterogeneous sources

Approaches to relating and integrating semantic data from he...

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2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011

作者： Keeney, John Boran, Aidan Bedini, Ivan Matheus, Christopher J. Patel-Schneider, Peter F. Knowledge and Data Engineering Group Computer Science and Statistics Trinity College Dublin Ireland Bell Labs. Alcatel-Lucent Dublin Ireland Bell Labs. Alcatel-Lucent Murray Hill United States

ISBN: (纸本)9780769545134

Integrating and relating heterogeneous data using inference is one of the cornerstones of semantic technologies and there are a variety of ways in which this may be achieved. Cross source relationships can be automatically translated or inferred using the axioms of RDFS/OWL, via user generated rules, or as the result of SPARQL query result transformations. For a given problem it is not always obvious which approach (or combination of approaches) will be the most effective and few guidelines exist for making this choice. This paper discusses these three approaches and demonstrates them using an "acquaintance" relationship drawn from data residing in common RDF information sources such as FOAF and DBLP datastores. The implementation of each approach is described along with practical considerations for their use. Quantitative and qualitative evaluation results of each approach are presented and the paper concludes with initial suggestions for guiding principles to help in selecting an appropriate approach for integrating heterogeneous semantic data sources. © 2011 IEEE.

关键词： Semantics

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Dynamic contextual usage metadata for learning resource reuse in adaptive environments

Dynamic contextual usage metadata for learning resource reus...

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IEEE International Conference on Information Reuse and Integration (IRI)

作者： Eddie Walsh Rachael Rafter Owen Conlan Vincent Wade Knowledge and Data Engineering Group School of Computer Science and Informatics Trinity College Dublin Ireland

Drawing on the experiences and context of others who have already used a particular resource can greatly facilitate that resource's reuse. Such reuse is essential when the resources in question are digital learning assets, services and models which are expensive both in terms of time and monetary expenditure to develop and use. When these resources are deployed in personalised settings, where each user may be delivered a tailored sequence of resources that uniquely suits their particular needs, gathering and federating a rich view of how these resources are being used becomes important. In this article we describe an approach to facilitating the federating of contextual usage data, which is compiled over the life cycle of a resource. Given that this data is likely to come from a range of different sources, our approach will need to be able to cope with the high level of heterogeneity expected in terms of its structure, syntax and semantics. We describe how such data may be used to support users in assessing the value of learning resources and facilitating their appropriate reuse.

关键词： Electronic learning Biological system modeling Context Adaptation models Syntactics Adaptive systems Dynamic scheduling

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