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Intuitive human governance of autonomic pervasive computing environments

Intuitive human governance of autonomic pervasive computing ...

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IEEE International Symposium on World of Wireless Mobile and Multimedia Networks (WoWMoM)

作者： T. O'Donnell D. Lewis V. Wade Knowledge and Data Engineering Group Trinity College Dublin Ireland

The paper proposes an intuitive configuration tool for autonomic pervasive computing systems. Specifically, the paper presents a system for the inference of user task intentions from a variety of sensed information and describes how this can be readily configured by users to meet their needs for performing particular activities in particular spaces. The approach taken combines the capture of user task concepts and policies with their integration into a 3D virtual reality model of the environment being used so that these concepts and policies can be mapped intuitively, but accurately, onto the sensed physical environment.

关键词： Humans Pervasive computing Adaptive systems Computer network management Mobile communication data engineering Educational institutions Virtual reality Context Computer networks

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Topic maps for context management 03

Topic maps for context management

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Proceedings of the 1st international symposium on Information and communication technologies

作者： Ruaidhrí Power Knowledge and Data Engineering Group Trinity College Dublin Ireland

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User needs for enhanced engagement with cultural heritage collections

User needs for enhanced engagement with cultural heritage co...

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2nd International Conference on Theory and Practice of Digital Libraries, TPDL 2012

作者： Sweetnam, Mark S. Agosti, Maristella Orio, Nicola Ponchia, Chiara Steiner, Christina M. Hillemann, Eva-Catherine Ó Siochrú, Micheál Lawless, Séamus Department of History Trinity College Dublin Ireland Department of Information Engineering University of Padua Italy Department of Cultural Heritage University of Padua Italy Knowledge Management Institute Graz University of Technology Austria Knowledge and Data Engineering Group Trinity College Dublin Ireland

ISBN: (纸本)9783642332890

This paper presents research carried out in order to elicit user needs for the design and development of a digital library and research platform intended to enhance user engagement with cultural heritage collections. It outlines a range of user constituencies for this digital library. The paper outlines a taxonomy of intended users for this system and describes in detail the characteristics and requirements of these users for the facilitation and enhancement of their engagement with and use of textual and visual cultural artefacts. © 2012 Springer-Verlag.

关键词： Digital libraries

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A learning framework for enabling organisational change within the workplace

A learning framework for enabling organisational change with...

引用

IADIS International Conference e-Learning 2009, Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2009

作者： Brown, Liam Wade, Vincent Murphy, Eamonn Enterprise Ireland 4500 Atlantic Avenue Westpark Shannon Ireland Knowledge and Data Engineering Group Trinity College Dublin Ireland Enterprise Research Centre University of Limerick Ireland

ISBN: (纸本)9789728924836

A framework is proposed as to how blended learning can be deployed as an effective mechanism to facilitate and support continuous improvement and change management programmes within organisations. The framework supports the current drive in education to move from tutor centred approaches to learner centred approaches. The framework also takes the relevant pedagogical and technological considerations into account and implications for the design of future programmes are posited based on feedback from the current programmes. The framework has been deployed through an initiative known as ULearning. This an innovative connector of industry and academia, addressing individual and corporate skills gaps through professional flexible learning. ULearning courses allow progression from Specialist Diplomas (SD), to Masters (MSc) and on to Professional PhD at the pace of individual participants. The guiding principles are that individuals can earn professional industry certifications and academic qualifications while at work and through courses designed with contextual content based on individual needs. Programme delivery is a blend of on campus face to face lectures, tutorials and workshops;on-line content;technology enabled peer supported learning and workplace based projects and assignments all supported by learning facilitators, and course coordinators. The framework has been extensively evaluated through 4 consecutive cohorts of students from industry over a 2 year period. Evaluation results have been incorporated into the framework and are presented as part of this research study. © 2009 IADIS.

关键词： E-learning

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Event-based clustering for reducing labeling costs of event-related microposts 9

Event-based clustering for reducing labeling costs of event-...

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9th International Conference on Web and Social Media, ICWSM 2015

作者： Schulz, Axel Janssen, Frederik Ristoski, Petar Fürnkranz, Johannes DB Mobility Logistics AG Germany Telecooperation Lab Technische Universität Darmstadt Germany Data and Web Science Group University of Mannheim Germany Knowledge Engineering Group Technische Universität Darmstadt Germany

ISBN: (纸本)9781577357339

Automatically identifying the event type of event-related information in the sheer amount of social media data makes machine learning inevitable. However, this is highly dependent on (1) the number of correctly labeled instances and (2) labeling costs. Active learning has been proposed to reduce the number of instances to label. Albeit the thematic dimension is already used, other metadata such as spatial and temporal information that is helpful for achieving a more fine-grained clustering is currently not taken into account. In this paper, we present a novel event-based clustering strategy that makes use of temporal, spatial, and thematic metadata to determine instances to label. An evaluation on incident-related tweets shows that our selection strategy for active learning outperforms current state-of-the-art approaches even with few labeled instances. © Copyright 2015, Association for the Advancement of Artificial Intelligence. All rights reserved.

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Leveraging Domain Expertise to Support Complex, Personalized and Semantically Meaningful Queries Across Separate data Sources

Leveraging Domain Expertise to Support Complex, Personalized...

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International Conference on Semantic Computing

作者： Cormac Hampson Owen Conlan Knowledge and Data Engineering Group (KDEG) Trinity College Dublin Ireland

Almost all information domains have witnessed an exponential increase in the amount of structured data available. However, there is still a lack of support for ordinary users to create complex queries spanning multiple information sources. Until this occurs the real benefits of having such a proliferation of metadata will not be realized by the general public. This paper describes SARA (Semantic Attribute Reconciliation Architecture), which is a framework that helps users leverage expert knowledge to discover relevant information, and to draw correlations across separate information sources. These sources can be in various data formats, and are accessed by users in a consolidated fashion. Users are supported in their information exploration with the knowledge of experts, which they can further tailor to better suit their needs. SARA offers tools and support for domain experts with no computing experience to encode their expertise, thus opening up SARA's use to almost any domain where rich metadata is available. This paper discusses the SARA framework in detail, as well as describing the applications to which it has been successfully applied in a number of different domains.

关键词： Semantics Films databases XML Joining processes Mashups

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Semantic Interoperation to Support Context in Adaptive Applications

Semantic Interoperation to Support Context in Adaptive Appli...

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IEEE Network Operations and Management Symposium Workshops (NOMS Workshops)

作者： Alexander O'Connor Vincent Wade Knowledge & Data Engineering Group Trinity College Dublin 2 Ireland

ISBN: (纸本)9781424420674

The challenge of supporting Ubiquitous Computing is to assist the user by helping their applications make better decisions with better information. Smart spaces and other information sources can provide this information, but it is unrealistic to expect all the information to be represented in the same way everywhere. This means that the goal of ubiquitous computing translates into a problem of information integration. This paper presents a new knowledge-driven approach to applying contextual information to user applications. The objective of the design is to use a semantic integration, represented in topic maps, to deliver knowledge found in available services to personalise and improve the functionality of an integrated application. A brief discussion of the different semantic technologies employed in the system is followed by a presentation of the architecture of the system and its novel combination of semantic technologies. Two Use Cases are discussed, one specifically related to Ubiquitous Environments. Finally, the work is related to other research in the areas of Semantic Mediation and Context Awareness.

关键词： Ubiquitous computing Context modeling Application software Semantic Web Context-aware services data engineering Computer science Statistics Educational institutions Mediation

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Towards non-expert users monitoring networks and services through semantically enhanced visualizations

Towards non-expert users monitoring networks and services th...

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International Conference on Network and Service Management

作者： Owen Conlan John Keeney Cormac Hampson F. Peter Williams FAME & Knowledge and Data Engineering Group Trinity College Dublin Ireland

Managing networks and services in large virtual enterprises often requires significant expertise to decipher and reconcile information coming from several heterogeneous sources. This presents a significant challenge as the person with the network management expertise is not necessarily the person who has the task or vision of how to maximize the value of these services. Conversely it would be valuable for dedicated network managers to have insight into the meaning of the services running over the network. This paper presents an approach to empowering users to monitor and eventually manage network devices and services that they are not necessarily expert in. This paper details this challenge, presents two enabling technological frameworks and offers two compelling case studies currently being addressed in the Federated, Autonomic Management of End-to-End Communications Services (FAME) project.

关键词： Semantics Monitoring data visualization Encoding Visualization Conferences Quantization

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Supporting Composite Smart Home Services with Semantic Fault Management

Supporting Composite Smart Home Services with Semantic Fault...

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International Conference on Future Information Technology (FutureTech)

作者： Zohar Etzioni John Keeney Rob Brennan David Lewis FAME and Knowledge and Data Engineering Group Trinity College Dublin Ireland

The proliferation of smart home technologies providing home users with digital services presents an interoperability problem. This paper asserts that the value of these services can be greatly extended by enabling technology-neutral compositions of these home services, and furthermore that the reliability of such composite services will be of paramount importance to ensuring widespread deployment. Therefore fault management capabilities must accompany the composition capabilities in order to increase the robustness and reliability of such services. This paper proposes a web services-based abstraction layer for home area network service composition and a semantically informed fault management system for composed services, which can assist in diagnosis and correction of problems with composite services in smart homes of the future. Prototyping work and use cases are also described and initial metrics are presented that investigate the overhead of introducing the technology neutral abstraction layer.

关键词： Smart homes Costs knowledge management Technology management engineering management data engineering Educational institutions Robustness Fault diagnosis Prototypes

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Ranking Given Names: Algorithms and Evaluation Paradigms

Ranking Given Names: Algorithms and Evaluation Paradigms

引用

International Conference on Social Informatics (SocialInformatics)

作者： Folke Mitzlaff Gerd Stumme Knowledge and Data Engineering Group (KDE) University of Kassel Kassel Germany

As a result of the author's need for help in finding a given name for the unborn baby, the name ling, a search engine for given names, based on data from the ``Social Web'' was born. Within less than six months, more than 35,000 users accessed \name ling with more than 300,000 search requests, underpinning the relevance of the underlying research questions. The present work compares different metrics for calculating similarities among given names, based on co-occurrences within wikipedia. In particular, the task of finding relevant names for a given search query is considered as a ranking task and the performance of different statical measures of relatedness among given names are evaluated with respect to name ling's actual usage data. By publishing the considered usage data, the research community is stipulated for developing advanced recommendation systems and analyzing influencing factors for the choice of a given name.

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