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AMASE: A framework for composing adaptive and personalised learning activities on the web

AMASE: A framework for composing adaptive and personalised l...

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11th International Conference on Advances in Web-Based Learning, ICWL 2012

作者： Staikopoulos, Athanasios O'Keeffe, Ian Rafter, Rachael Walsh, Eddie Yousuf, Bilal Conlan, Owen Wade, Vincent Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland

ISBN: (纸本)9783642336416

Personalised Web information systems have in recent years been evolving to provide richer and more tailored experiences for users than ever before. In order to provide even more interactive experiences as well as to address new opportunities, the next generation of Personalised Web information systems needs to be capable of dynamically personalising not just web media but web services as well. In particular, eLearning provides an example of an application domain where learning activities and personalisation are of significant importance for engaging and enhancing the learning experience of a learner. This paper presents a novel approach and technical framework called AMASE to support the dynamic generation and enactment of Personalised Learning Activities, which uniquely entails the personalisation of media content and the personalisation of services in a unified manner. In doing so, AMASE combines state of the art techniques from both adaptive web and adaptive workflow systems. © 2012 Springer-Verlag.

关键词： Web services

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Describing reasoning results with RVO, the reasoning violations ontology 2

Describing reasoning results with RVO, the reasoning violati...

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2nd Workshop on Managing the Evolution and Preservation of the data Web, MEPDaW 2016 and the 3rd Workshop on Linked data Quality, LDQ 2016

作者： Božić, Bojan Brennan, Rob Feeney, Kevin C. Mendel-Gleason, Gavin Knowledge and Data Engineering Group Trinity College Dublin College Green Dublin 2 Ireland

This paper presents a new OWL RL ontology, the Reasoning Violations Ontology (RVO), which describes both ABox and TBox reasoning errors produced by DL reasoners. This is to facilitate the integration of reasoners into data engineering tool-chains. The ontology covers violations of OWL 2 direct semantics and syntax detected on both the schema and instance level over the full range of OWL 2 and RDFS language constructs. Thus it is useful for reporting results to other tools when a reasoner is applied to linked data, RDFS vocabularies or OWL ontologies, for example for quality evaluations such as consistency, completeness or integrity. RVO supports supervised or semi-supervised error localisation and repair by defining properties that both identify the statement or triple where a violation is detected, and by providing context information on the violation which may help the repair process. In a case study we show how the ontology can be used by a reasoner and a supervised repair process to accelerate high quality ontology development and provide automated constraint checking feedback on instance data. RVO is also being used to enable integration of reasoning results into multi-vendor data quality tool chains within the ALIGNED H2020 project.

关键词： Ontology

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Personalisation in the Wild - Providing Personalisation across Semantic, Social and Open-Web Resources 11

Personalisation in the Wild - Providing Personalisation acro...

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Proceedings of the 22nd ACM conference on Hypertext and hypermedia

作者： Steichen, Ben O'Connor, Alexander Wade, Vincent Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland

ISBN: (纸本)9781450302562

One of the key motivating factors for information providers to use personalisation is to maximise the benefit to the user in accessing their content. However, traditionally such systems have focussed on mainly corporate or professionally authored content and have not been able to leverage the benefits of other material already on the web, written about that subject by other authors. Such information includes open-web information as well as usergenerated content such as forums, blogs, tags, etc. By providing personalised compositions and presentations across these heterogeneous information sources, a potentially richer user experience can be created, leveraging the mutual benefits of professionally authored content as well as open-web information and active user communities. This paper presents novel techniques and architectures that extend the personalisation reserved for corporate or professionally developed content with that of user generated content and pages in the wild. Complementary affordances of Personalised Information Retrieval and Adaptive Hypermedia are leveraged in order to provide Adaptive Retrieval and Composition of Heterogeneous INformation sources for personalised hypertext Generation (ARCHING). The approach enables adaptive selection and navigation according to multiple adaptation dimensions and across a variety of heterogeneous data sources. The architectures have been applied in a real-life personalised customer care scenario and a user study evaluation involving authentic information needs has been conducted. The evidence clearly shows that the system successfully blends a user's search experience with adaptive selection and navigation techniques and that the user experience is improved in terms of both task assistance and user satisfaction. © 2011 ACM.

关键词： Semantics

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Evaluation of a semantic-oriented approach to cross-lingual ontology mapping

Evaluation of a semantic-oriented approach to cross-lingual ...

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EKAW 2010 Poster and Demo Track

作者： Fu, Bo Brennan, Rob O'Sullivan, Declan Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland

Most ontology mapping research has focused on the matching of ontologies written in the same natural language, and developing tools and techniques that support this monolingual ontology mapping process. However, as knowledge modelling is not restricted to the usage of a single natural language, mapping systems must be able to operate upon ontologies that are labelled in diverse natural languages. This paper outlines a semanticoriented cross-lingual ontology mapping framework that makes use of several information sources to influence the selection of ontology label translations in the process of generating high quality mapping results, and presents a high-level overview of the evaluation strategy of the proposed framework.

关键词： Ontology

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Automatic mining of cognitive metadata using fuzzy inference 11

Automatic mining of cognitive metadata using fuzzy inference

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Proceedings of the 22nd ACM conference on Hypertext and hypermedia

作者： Şah, Melike Wade, Vincent Centre for Next Generation Localisation Knowledge and Data Engineering Group Trinity College Dublin Ireland

ISBN: (纸本)9781450302562

Personalized search and browsing is increasingly vital especially for enterprises to able to reach their customers. Key challenge in supporting personalization is the need for rich metadata such as cognitive metadata about documents. As we consider size of large knowledge bases, manual annotation is not scalable and feasible. On the other hand, automatic mining of cognitive metadata is challenging since it is very difficult to understand underlying intellectual knowledge about documents automatically. To alleviate this problem, we introduce a novel metadata extraction framework, which is based on fuzzy information granulation and fuzzy inference system for automatic cognitive metadata mining. The user evaluation study shows that our approach provides reasonable precision rates for difficulty, interactivity type, and interactivity level on the examined 100 documents. In addition, proposed fuzzy inference system achieves improved results compared to a rule-based reasoner for document difficulty metadata extraction (11% improvement). © 2011 ACM.

关键词： Fuzzy inference

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The FUSE domain-aware approach to user model interoperability: A comparative study

The FUSE domain-aware approach to user model interoperabilit...

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2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013

作者： Walsh, Eddie O'Connor, Alexander Wade, Vincent Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland

ISBN: (纸本)9781479910502

Exchanging user information between multiple sources can potentially bring many benefits that enhance the user experience in software applications. Richer and more dynamic user models can be constructed allowing more tailoring of content and services to the specific needs of individual users. However, providing effective interoperability is a complex challenge as there can be significant heterogeneity between user models. Current generic approaches and tools offer insufficient support for the complex domain-specific nature of many user model interoperability tasks. This paper presents a comparative study of the FUSE domain-aware approach to user model interoperability. This novel approach differs from existing generic approaches by incorporating domain knowledge in new processes and tools to support complex user model interoperability tasks in multiple overlapping domains. The FUSE approach is described and compared to existing state of the art approaches using a consistent set of key issues in user model interoperability. © 2013 IEEE.

关键词： Interoperability

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Benchmarking knowledge-based context delivery systems

Benchmarking knowledge-based context delivery systems

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2006 International Conference on Autonomic and Autonomous Systems, ICAS'06

作者： Keeney, John Lewis, David O'Sullivan, Declan Department of Computer Science Knowledge and Data Engineering Group Trinity College Dublin Dublin Ireland

ISBN: (纸本)0769526535

As context-aware systems become more widespread and mobile there is an increasing need for a common distributed event platform for gathering context information and delivering to context-aware applications. The likely heterogeneity across the body of context information can be addressed using runtime reasoning over ontology-based context models. However, existing knowledge-based reasoning is not typically optimised for real-time operation so its inclusion in any context delivery platform needs to be carefully evaluated from a performance perspective. In this paper we propose a benchmark for knowledge-based context delivery platforms and in particular examine suitable knowledge benchmarks for assessing the ability of platforms to deal with semantic interoperability. © 2006 IEEE.

关键词： Benchmarking

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SimCon: A context simulator for supporting evaluation of smart building applications when faced with uncertainty

SimCon: A context simulator for supporting evaluation of sma...

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作者： McGlinn, Kris Hederman, Lucy Lewis, Dave Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland

Smart Building Applications (SBAs) adapt their behaviour in response to context information generated by sensors present in the smart building. SBA developers must account for uncertainty in the accuracy of context information resulting from imperfection in the sensing technology and potentially complex interactions between the sensed phenomenon, the sensor and the physical environment. To address this challenge, context simulators which generate simulated context information have been developed. A number of key challenges must be addressed before such a simulation-based SBA prototyping approach can become widely used. First, any context simulator must be flexible in its approach to simulating context so that it supports evaluating different mixes of SBAs using a selection of methods most suitable to the evaluation task at hand. Second, the context simulator must support simulating uncertainty in context as uncertainty can cause an SBA to function incorrectly. Finally, the process of setting up a simulation should be efficient in use, satisfying to the developer and also, be effective in correctly evaluating the SBA behaviour. This paper presents the SimCon model which addresses these challenges by supporting simulation of context, in particular location context, with configurable levels of uncertainty for evaluating SBAs using visualisation. The SimCon model has been implemented in a simulation, configuration and visualisation tool set which has undergone a number of evaluations with SBA developers to determine and improve its level of usability, the most recent of which is presented here. © 2013 Elsevier B.V. All rights reserved.

关键词： Simulators

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An Enterprise it security data model 4

An Enterprise it security data model

引用

4th International Conference on Enterprise Information Systems, ICEIS 2002

作者： Belsis, Meletis A. Godwin, Anthony N. Smalov, Leon Data Knowledge Engineering Research Group Coventry University Priory Street Coventry United Kingdom

ISBN: (纸本)9729805067

The issues relating to security have wider scope than the technical details of computer system structure. In larger organisations the security problems become more complex since there are more requirements for data access management. The information associated with security management needs to be well organised. In this paper we present the first step in creating an Enterprise IT Security data Model. The aim of this research is to create a model that is able to capture the information needed by the security management in the provision of adequate security for an Enterprise.

关键词： Security of data

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Multilingual ontology mapping: Challenges and a proposed framework

Multilingual ontology mapping: Challenges and a proposed fra...

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23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009

作者： Fu, Bo Brennan, Rob O'Sullivan, Declan Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland

ISBN: (纸本)1902956850

A key problem in supporting multilingual information retrieval and digital content management is reasoning about overlapping context domains. Ontologies are currently emerging as representation techniques for overlapping complimentary context domains. To date, research has focused on the mappings of monolingual ontologies, however, the issue of mapping ontologies written in different natural languages is relatively unexplored at the moment. This paper discusses challenges in the area of multilingual ontology mapping and proposes the semantic oriented mapping for multilingual ontologies (SOMMO) framework to advance the state of the art in multilingual ontology mapping. The SOMMO framework aims to improve multilingual ontology mapping results generated from existing monolingual ontology matching techniques by evaluating the semantics embedded in both the source and target ontologies.

关键词： Ontology

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