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IEEE Symposium on Network Operations and Management

作者： K. Quinn A. Kenny K. Feeney D. Lewis D. O'Sullivan V.P. Wade Knowledge & Data Engineering Group Department of Computer Science Trinity College Dublin Dublin Ireland

When deploying collaborative applications such as instant messaging in ubiquitous computing environments significant enhancements can be afforded by offering additional context information, such as location information. However, such environments exert key challenges such as increased diversity of ownership and ad hoc, intermittent network connectivity that suits more decentralized computing architectures. This paper examines how a migration to a more decentralized collaborative architecture can be achieved together with a decentralization of the management of collaborative activities

关键词： Environmental management Collaboration Ubiquitous computing Access control Application software Computer architecture Routing Humans Content management Peer to peer computing

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A multi-agent framework for a P2P data sharing facility

A multi-agent framework for a P2P data sharing facility

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International Conference on Advanced Information Networking and Applications (AINA)

作者： S.M. Deen Department of Computer Science Data and Knowledge Engineering (DAKE) Group University of Keele Staffordshire UK

The paper presents a general architecture for a P2P data sharing facility within a multi-agent framework, where peers as autonomous high-level nodal agents cooperate with each other to solve global tasks. A node may have several lower level local agents including local databases and partial global ontologies. In addition there are also minder agents coordinating the activities of the peers that offer the same type of service, thus providing fault-tolerance. The ability of this architecture in data and task sharing has been demonstrated by considering query processing and directory update strategies.

关键词： Peer to peer computing Fault tolerance Query processing Spread spectrum communication Transaction databases knowledge engineering Computer science Computer architecture Ontologies Internet

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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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Interactive Collaborative Exploration using Incomplete Contexts

arXiv

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arXiv 2019年

作者： Felde, Maximilian Stumme, Gerd Knowledge and Data Engineering Group Research Center for Information System Design University of Kassel Germany

A well-known knowledge acquisition method in the field of Formal Concept Analysis (FCA) is attribute exploration. It is used to reveal dependencies in a set of attributes with help of a domain expert. In most applications no single expert is capable (time- and knowledge-wise) of exploring the knowledge domain alone. However, there is up to now no theory that models the interaction of multiple experts for the task of attribute exploration with incomplete knowledge. To this end, we to develop a theoretical framework that allows multiple experts to explore domains together. We use a representation of incomplete knowledge as three-valued contexts. We then adapt the corresponding version of attribute exploration to fit the setting of multiple experts. We suggest formalizations for key components like expert knowledge, interaction and collaboration strategy. In particular, we define an order that allows to compare the results of different exploration strategies on the same task with respect to their information completeness. Furthermore we discuss other ways of comparing collaboration strategies and suggest avenues for future research. Copyright © 2019, The Authors. All rights reserved.

关键词： Formal concept analysis

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Wall Building in the Game of StarCraft with Terrain Considerations

Wall Building in the Game of StarCraft with Terrain Consider...

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IEEE Symposium on Computational Intelligence and Games, CIG

作者： Martin L. M. Rooijackers Mark H. M. Winands Games & AI Group Department of Data Science and Knowledge Engineering Maastricht University Maastricht The Netherlands

ISBN: (纸本)9781538643600

StarCraft is a Real-Time Strategy game, which has a large state-space, is played in real-time, and commonly features two opposing players, capable of acting simultaneously. One of the aspects of the game is building walls. In this paper, we present an algorithm that can be used for wall building for an agent playing the game of StarCraft: Brood War.

关键词： Inductors Games Tiles Real-time systems Estimation Programming

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A Cohesive Distillation Architecture for Neural Language Models

arXiv

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arXiv 2023年

作者： Wahle, Jan Philip Data & Knowledge Engineering Group Faculty of Electrical Information and Media Engineering Bergische Universität Wuppertal Germany

A recent trend in Natural Language Processing is the exponential growth in Language Model (LM) size, which prevents research groups without a necessary hardware infrastructure from taking part in the development process. This study investigates methods for knowledge Distillation (KD) to provide efficient alternatives to large-scale models. In this context, KD means the extraction of information about language encoded in a Neural Network and Lexical knowledge databases. To test our hypothesis that efficient architectures can gain knowledge from LMs and extract valuable information from lexical sources, we developed two methods. First, we present a technique to learn confident probability distribution for Masked Language Modeling by prediction weighting of multiple teacher networks. Second, we propose a method for Word Sense Disambiguation (WSD) and lexical KD that is general enough to be adapted to many LMs. Our results show that KD with multiple teachers leads to an improved training convergence. When using our lexical pre-training method, LM characteristics are not lost, leading to increased performance in Natural Language Understanding (NLU) tasks over the state-of-the-art while adding no parameters. Moreover, the improved semantic understanding of our model increased the task performance beyond WSD and NLU in a real-problem scenario (Plagiarism Detection). This study suggests that sophisticated training methods and network architectures can be superior over scaling trainable parameters. On this basis, we suggest the research area should encourage the development and use of efficient models and rate impacts resulting from growing LM size equally against task performance. © 2023, CC BY-SA.

关键词： Semantics

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TCD-DCU at log CLEF 2009: An analysis of queries, actions, and interface languages

TCD-DCU at log CLEF 2009: An analysis of queries, actions, a...

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2009 Cross Language Evaluation Forum Workshop, CLEF 2009, co-located with the 13th European Conference on Digital Libraries, ECDL 2009

作者： Ghorab, M. Rami Leveling, Johannes Zhou, Dong Jones, Gareth J. F. Wade, Vincent Centre for Next Generation Localisation Knowledge and Data Engineering Group Trinity College Dublin I-Dublin 2 Ireland Centre for Next Generation Localisation School of Computing Dublin City University I-Dublin 9 Ireland

This paper describes the collaborative participation of Trinity College Dublin and Dublin City University in the Log Analysis for Digital Societies (LADS) task of LogCLEF 2009 track. An analysis of multilingual search logs was carried out with the objectives of investigating how users from different linguistic or cultural backgrounds behave in search, and how the discovery of patterns in user actions could be used for community identification. Our findings suggest that there is scope for further investigation of how search logs can be exploited to personalise and improve cross-language search as well as improve the TEL search system.

关键词： Digital libraries

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Bisociative music discovery and recommendation

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2012年 7250卷 472-483页

作者： Stober, Sebastian Haun, Stefan Nürnberger, Andreas Data and Knowledge Engineering Group Faculty of Computer Science Otto-von-Guericke-University Magdeburg D-39106 Magdeburg Germany

ISBN: (纸本)9783642318290

Surprising a user with unexpected and fortunate recommendations is a key challenge for recommender systems. Motivated by the concept of bisociations, we propose ways to create an environment where such serendipitous recommendations become more likely. As application domain we focus on music recommendation using MusicGalaxy, an adaptive user-interface for exploring music collections. It leverages a non-linear multi-focus distortion technique that adaptively highlights related music tracks in a projection-based collection visualization depending on the current region of interest. While originally developed to alleviate the impact of inevitable projection errors, it can also adapt according to user-preferences. We discuss how using this technique beyond its original purpose can create distortions of the visualization that facilitate bisociative music discovery. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Visualization

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Do your social profiles reveal what languages you speak? Language inference from social media profiles 38th

Do your social profiles reveal what languages you speak? Lan...

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38th European Conference on Information Retrieval Research, ECIR 2016

作者： Xu, Yu Ghorab, M. Rami Wang, Zhongqing Zhou, Dong Lawless, Séamus ADAPT Centre Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin Ireland Natural Language Processing Lab Soochow University Suzhou China School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan China

ISBN: (纸本)9783319306704

In the multilingual World Wide Web, it is critical for Web applications, such as multilingual search engines and targeted international advertisements, to know what languages the user understands. However, online users are often unwilling to make the effort to explicitly provide this information. Additionally, language identification techniques struggle when a user does not use all the languages they know to directly interact with the applications. This work proposes a method of inferring the language(s) online users comprehend by analyzing their social profiles. It is mainly based on the intuition that a user’s experiences could imply what languages they know. This is nontrivial, however, as social profiles are usually incomplete, and the languages that are regionally related or similar in vocabulary may share common features;this makes the signals that help to infer language scarce and noisy. This work proposes a language and social relation-based factor graph model to address this problem. To overcome these challenges, it explores external resources to bring in more evidential signals, and exploits the dependency relations between languages as well as social relations between profiles in modeling the problem. Experiments in this work are conducted on a large-scale dataset. The results demonstrate the success of our proposed approach in language inference and show that the proposed framework outperforms several alternative methods. © Springer International Publishing Switzerland 2016.

关键词： Search engines

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Workflow management systems: the healthcare technology of the future?

Workflow management systems: the healthcare technology of th...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： A. Dwivedi R.K. Bali A.E. James R.N.G. Naguib Data and Knowledge Engineering Research Group (DKERG) Coventry University UK BIOCORE Coventry University UK

In recent years, healthcare institutions have had problems accessing and maintaining the large amounts of data they deal with. This paper identifies current approaches and technologies which relate to patient administration systems. It argues that, in the near future, WWW-based multimedia patient administration systems would become the norm for healthcare institutions. The development and acceptance of web-based multimedia patient administration systems is likely to aggravate the problem of healthcare institutions being flooded with large amounts of clinical data. A large amount of clinical procedures relating to patient management are repetitive and Workflow Management Systems (WFMS) can automate these repeated activities. We believe that the introduction of WFMS would enable healthcare institutions to face this challenge of transforming large amounts of medical data into contextually relevant clinical information. The central contention of this paper is that there is a dynamic connection between healthcare, workflow and internet technologies, which is being ignored. This paper further establishes that it is possible to build a virtual electronic health record database based on the client server architecture using current internet and object-oriented (OO) technologies.

关键词： Technology management Medical services Internet Hospitals Medical diagnostic imaging Mobile computing Java Multimedia systems Workflow management software Web server

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