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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： R.K. Bali Data Knowledge Engineering Research Group School of Mathematical & Information Sciences Coventry University Coventry UK

Telehealth is a flexible way of working which covers a wide range of health-related activities, all of which entail either working remotely from a traditional healthcare centre for a significant proportion of work time, on either a full-time or part-time basis. The work often involves electronic processing of information and always involves telecommunications to keep the remote healthcare centre and healthcare provider in contact with one another. This paper discusses the ramifications of technology-led change in the commercial healthcare environment, its impact on healthcare organizations, the social aspects of our lives and the shape of the telehealth industry we expect to see in the future.

关键词： Medical services Communications technology Business Information technology Social implications of technology Textile technology Teleworking Textile industry knowledge engineering Shape

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Adaptive Context-Aware Access Control for Iot Environments Leveraging Fog Computing

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SSRN 2023年

作者： Kalaria, Rudri Kayes, A.S.M. Rahayu, Wenny Pardede, Eric Salehi, Ahmad S. La Trobe University VIC3086 Australia Data Engineering and Knowledge Management Group United States

The increasing use of the Internet of Things (IoT) has driven the demand for enhanced and robust access control methods to protect resources from unauthorized access. A cloud-based access control approach brings significant challenges in terms of communication overhead, high latency, and complete reliance. In this paper, we propose a Fog-Based Adaptive Context-Aware Access Control (FB-ACAAC) framework for the IoT which addresses unauthorized resource access. The main purpose of FB-ACAAC is to prevent unauthorized access to IoT devices and provide adaptability to changing access behaviors and context by bringing decision-making and information about policies closer to the end nodes of the network. FB-ACAAC improves the availability of resources and reduces the amount of time for information to be processed. The eXtensible Access Control Markup Language (XACML) is widely used to manage access control decisions, however, traditional XACML-based methods do not take into account changing environments, different contexts, and changing access behaviors and are vulnerable to certain types of attacks. To address these issues, FB-ACAAC proposes an adaptive context-aware XACML scheme for heterogeneous distributed IoT environments using fog computing and is designed to be more context-aware and adaptable and also more secure in the face of unauthorized access. The effectiveness and efficiency of this new scheme is verified through experiments, and it has a low processing time overhead while providing extra features and improved security. © 2023, The Authors. All rights reserved.

关键词： Access control

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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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Next generation context aware adaptive services 03

Next generation context aware adaptive services

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

作者： Owen Conlan Ruaidhrí Power Steffen Higel Declan O'Sullivan Keara Barrett Knowledge and Data Engineering Group (KDEG) Trinity College Dublin Telecommunications Software and Systems Group (TSSG) Waterford Institute of Technology

Situational information can enrich the interactions between a user and the services they wish to utilize. Such information encompasses details about the user, the physical environment and the computing resources. There are at least three key aspects in addressing this issue. Firstly, it is important to accurately capture or infer the requirements of the users in a timely fashion. Without precise information on what the users are hoping to achieve it is difficult to identify suitable services or sub-services that may fulfill (in part or fully) their information needs. Secondly, the nature of the available services determines the modes in which they may be adapted to the users' needs. Rigid, inflexible services may be difficult to tune to the information requirements of the users. Adaptive services, on the other hand, are well suited to dynamically modifying their behavior, within defined constraints. The third issue to be addressed is the on-the-fly combination of services to meet the users' requirements. This paper argues that current modeling (both of users and services) techniques, adaptive axes and personalization techniques used in current personalized information services, such as Adaptive Hypermedia Systems, may supply the basis for next generation adaptive collaborative services.

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A Framework for Cross-language Search Personalization

A Framework for Cross-language Search Personalization

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International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： M. Rami Ghorab Dong Zhou Alexander O'Connor Vincent Wade Centre for Next Generation Localisation Knowledge & Data Engineering Group Trinity College Dublin Dublin Ireland

Search personalization is an area of considerable research interest. In this paper, we propose a framework for personalizing cross-language search using user models. Our work extends existing studies in two directions. First, the framework extends to the area of cross-language information retrieval. Second, the study aims to elicit features of cross-language search behavior from multilingual search logs. We argue that we can infer a user model, that describes individual user interests and behavior, which can be partially bootstrapped based on choice of interface language. Our experiments involved mining multilingual search logs for interesting patterns of cross-language search behavior. Different patterns were exhibited for users of different languages. The results suggest that there is scope for further investigation on the use of log analysis to improve personalization of cross-language search.

关键词： Information retrieval Feedback History data engineering Educational institutions Adaptation model Pattern analysis database languages Filling Demography

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Managing ontology based integration systems using dependencies

Managing ontology based integration systems using dependenci...

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

作者： Aidan Boran Declan O'Sullivan Vincent Wade Bell Laboratories Ireland Alcatel-Lucent Dublin Ireland Knowledge and Data Engineering Group Dublin Ireland

Ontology-based information integration systems have been proposed to solve the problem of combining data residing at autonomous and heterogeneous sources. For such ontology based solutions to succeed in an industrial context, the integration ontology and mappings need to be managed to allow them to evolve as the data sources evolve. This research has developed a technique to support the management of ontology-based integration systems by modeling the dependencies that arise in the system. This paper describes the management problem, a solution, an industrial case study using dependency modeling and an evaluation mechanism.

关键词： Ontologies Context modeling Supply chains Routing Relational databases Reverse logistics knowledge management Supply chain management engineering management data engineering

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Adaptive class association rule mining for human activity recognition 6

Adaptive class association rule mining for human activity re...

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6th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2015

作者： Atzmueller, Martin Kibanov, Mark Hayat, Naveed Trojahn, Matthias Kroll, Dennis University of Kassel Research Center for Information System Design Knowledge and Data Engineering Group Kassel Germany Volkswagen AG Wolfsburg Germany University of Kassel Research Center for Information System Design Department for Communication Technology Kassel Germany

The analysis of human activity data is an important research area in the context of ubiquitous and social environments. Using sensor data obtained by mobile devices, e. g., utilizing accelerometer sensors contained in mobile phones, behavioral patterns and models can then be obtained. However, the utilized models are often not simple to interpret by humans in order to facilitate assessment, evaluation and validation, e. g., in computational social science or in medical contexts. In this paper, we propose a novel approach for generating interpretable rule sets for classification: We present an adaptive framework for mining class association rules using subgroup discovery, and analyze different techniques for obtaining the final classifier. The approach is investigated in the context of human activity recognition. For our evaluation, we apply real-world activity data collected using mobile phone sensors. Copyright © 2015 by the paper's authors.

关键词： Cellular telephones

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Benchmarking knowledge-based Context Delivery Systems

Benchmarking Knowledge-based Context Delivery Systems

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International Conference on Autonomic and Autonomous Systems (ICAS)

作者： J. Keeney D. Lewis D. O'Sullivan Knowledge & Data Engineering Group and CTVR Department of Computer Science Trinity College Dublin Dublin Ireland

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

关键词： Context-aware services Ontologies Pervasive computing Context modeling Temperature sensors Acoustic sensors knowledge management Publish-subscribe data engineering Computer science

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A web statistics based conflation approach to improve Arabic text retrieval

A web statistics based conflation approach to improve Arabic...

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Federated Conference on Computer Science and Information Systems (FedCSIS)

作者： Farag Ahmed Andreas Nürnberger Data & Knowledge Engineering Group Faculty of Computer Science Otto-von-Guericke University of Magdeburg Germany

We present a language independent approach for conflation that does not depend on predefined rules or prior knowledge of the target language. The proposed unsupervised method is based on an enhancement of the pure n-gram model that is used to group related words based on a revised string-similarity measure. In order to detect and eliminate terms that are created by this process, but that are most likely not relevant for the query (”noisy terms”), an approach based on mutual information scores computed based on web statistical cooccurrences data is proposed. Furthermore, an evaluation of this approach is presented.

关键词： Mutual information Computational modeling Noise measurement Dictionaries Morphology Computer science

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TRIAS--An Algorithm for Mining Iceberg Tri-Lattices

TRIAS--An Algorithm for Mining Iceberg Tri-Lattices

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IEEE International Conference on data Mining (ICDM)

作者： Robert Jaschke Andreas Hotho Christoph Schmitz Bernhard Ganter Gerd Stumme Knowledge & Data Engineering Group University of Kassel Germany Institute for Algebra Dresden University of Technology Germany

In this paper, we present the foundations for mining frequent tri-concepts, which extend the notion of closed item-sets to three-dimensional data to allow for mining folk-sonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution as well as experimental results on a large real-world example.

关键词： data mining Itemsets Resource management Algorithm design and analysis Association rules data structures data engineering Algebra Lattices Clustering algorithms

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