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A semantic model for integrated content management, localisation and language technology processing

A semantic model for integrated content management, localisa...

2nd International Workshop on the Multilingual Semantic Web 2011, MSW 2011 - In Conjunction with the International Semantic Web Conference, ISWC 2011

作者： Jones, Dominic O'Connor, Alexander Abgaz, Yalemisew M. Lewis, David Centre for Next Generation Localisation School of Computer Science and Statistics Trinity College Dublin Ireland Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland School of Computing Dublin City University Dublin Ireland

Providers of products and services are faced with the dual challenge of supporting the languages and individual needs of the global customer while also accommodating the increasing relevance of user-generated content. As a result, the content and localisation industries must now evolve rapidly from manually processing predicable content which arrives in large jobs to the highly automated processing of streams of fast moving, heterogeneous and unpredictable content. This requires a new generation of digital content management technologies that combine the agile flow of content from developers to localisers and consumers with the data-driven language technologies needed to handle the volume of content required to feed the demands of global markets. data-driven technologies such as statistical machine translation, cross-lingual information retrieval, sentiment analysis and automatic speech recognition, all rely on high quality training content, which in turn must be continually harvested based on the human quality judgments made across the end-to-end content processing flow. This paper presents the motivation, approach and initial semantic models of a collection of research demonstrators where they represent a part of, or a step towards, documenting in a semantic model the multi-lingual semantic web.

关键词： Semantic Web

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Newsalyze: Enabling news consumers to understand media bias 20

Newsalyze: Enabling news consumers to understand media bias

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2020 ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2020

作者： Hamborg, Felix Zhukova, Anastasia Donnay, Karsten Gipp, Bela Dept. of Computer and Information Science University of Konstanz Germany Data and Knowledge Engineering Group University of Wuppertal Wuppertal Germany Dept. of Political Science University of Zurich Switzerland Dept. of Politics and Public Administration University of Konstanz Germany

ISBN: (纸本)9781450375856

News is a central source of information for individuals to inform themselves on current topics. Knowing a news article's slant and authenticity is of crucial importance in times of fake news, news bots, and centralization of media ownership. We introduce Newsalyze, a bias-aware news reader focusing on a subtle, yet powerful form of media bias, named bias by word choice and labeling (WCL). WCL bias can alter the assessment of entities reported in the news, e.g., freedom fighters vs. terrorists. At the core of the analysis is a neural model that uses a news-adapted BERT language model to determine target-dependent sentiment, a high-level effect of WCL bias. While the analysis currently focuses on only this form of bias, the visualizations already reveal patterns of bias when contrasting articles (overview) and in-text instances of bias (article view). © 2020. ACM ISBN.

关键词： news bias annotation newsroom frame analysis news articles news consumption content analysis media bias

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Merger of knowledge management and information technology in healthcare: opportunities and challenges

Merger of knowledge management and information technology in...

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Canadian Conference on Electrical and Computer engineering (CCECE)

作者： A. Dwivedi R.K. Bali A.E. James R.N.G. Naguib D. Johnston School of Mathematical and Information Science Data and Knowledge Engineering Research Group (DKERG)Data and Knowledge Engineering Research Group DKERG Coventry University UK BIOCARE School of Mathematical and Information Sciences Coventry University UK Applied Network Solutions Limited Slough UK

In the last 10 years, the Information and Communication Technologies (ICTs) revolution has redefined the structure of the 21st century healthcare organization. It is clear that the 21st century healthcare organization will bring about new healthcare services and that traditional management and technological concepts would not be the appropriate conduit for disseminating these new healthcare services. The fundamental challenge faced by the 21st century clinical practitioner is to acquire proficiency in understanding and interpreting clinical information so as to attain knowledge and wisdom. An additional challenge that must be considered is that clinical practitioners make potentially life-saving decisions whilst attempting to deal with large amounts of clinical data. We focus on the emergence of telehealth as an alternative implementation for transfer of medical information using futuristic Information and Communication Technologies (ICT). We contend that current healthcare applications are being used in a static manner; futuristic applications will need to be dynamic in nature and would call for the transfer of context-based healthcare information. A knowledge Management (KM) solution would allow healthcare institutions to give clinical data context, so as to allow knowledge derivation for more effective clinical diagnosis. It would also provide a mechanism for effective transfer of the acquired knowledge in order to aid healthcare workers as and when required Using data inputs from our collaborating organization, Applied Network Solutions (ANS), we argue that healthcare institutions that integrate KM and ICT into their main organizational processes are more likely to survive and prosper. These organizations would have a profound understanding of how to use clinical information for creating value in tangible and intangible terms.

关键词： Corporate acquisitions knowledge management Information technology Medical services Clinical diagnosis Communications technology Context Technology management Appropriate technology Medical diagnostic imaging

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License and template access control for geospatial linked data 3

License and template access control for geospatial linked da...

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3rd International Workshop on Geospatial Linked data and the 2nd Workshop on Querying the Web of data, GeoLD-QuWeDa 2018

作者： Meehan, Alan Fatema, Kaniz Brennan, Rob Clinton, Éamonn McNerney, Lorraine O'Sullivan, Declan ADAPT Centre Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland Department of Electronics Computing and Mathematics University of Derby Kedleston Road Derby United Kingdom Ordnance Survey Ireland Phoenix Park Dublin Ireland

As Linked data technologies mature geospatial data institutions are seeking to exploit these advantages and selectively serve their commercially valuable data to customers on the web. An access control solution is required to ensure customers are not accessing unauthorized data. In this paper we present a fine grained and flexible access control method for geospatial Linked data. Our declarative approach provides a vocabulary to model data licenses and templates. A license models what a customer is allowed to access at a fine granularity and a template models how data is allowed to be accessed. Each template contains variables and the values that these variables are allowed to contain are specified. This provides great flexibility and allows the creation of templates for a range of different data access use cases. We propose an implementation architecture for our approach which proposes a license and template-based access control web service that sits on top of a triple store, SPARQL processor and a RESTful API for access. We also present a case study where a prototype implementation of our access control approach was applied to Ordnance Survey Ireland's controlled access geospatial Linked data. © CEUR-WS. All rights reserved.

关键词： Access control

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Ubiquitous data

Ubiquitous data

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作者： Hotho, Andreas Pedersen, Rasmus Ulslev Wurst, Michael University Kassel Depart. of Electrical Engineering/Computer Science Knowledge and Data Engineering Group Germany Copenhagen Business School Dept. of Informatics Embedded Software Lab. Copenhagen Denmark Technical University Dortmund Computer Science LS8 44221 Dortmund Germany

ISBN: (纸本)3642163912

Ubiquitous knowledge discovery systems must be captured from many different perspectives. In earlier chapters, aspects like machine learning, underlying network technologies etc. were described. An essential component, which we shall discuss now, is still missing: Ubiquitous data. While data themselves are a central part of the knowledge discovery process, in a ubiquitous setting new challenges arise. In this context, the emergence of data itself plays a large role, therefore we label this part of KDubiq systems ubiquitous data. It clarifies the KDubiq challenges related to the multitude of available data and what we must do before we can tap into this rich information source. © 2010 Springer-Verlag.

关键词： Taps

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Probably approximately correct learning of Horn envelopes from queries

arXiv

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arXiv 2018年

作者： Borchmann, Daniel Hanika, Tom Obiedkov, Sergei Knowledge & Data Engineering Group University of Kassel Germany National Research University Higher School of Economics Moscow Russia

We propose an algorithm for learning the Horn envelope of an arbitrary domain using an expert, or an oracle, capable of answering certain types of queries about this domain. Attribute exploration from formal concept analysis is a procedure that solves this problem, but the number of queries it may ask is exponential in the size of the resulting Horn formula in the worst case. We recall a well-known polynomial-time algorithm for learning Horn formulas with membership and equivalence queries and modify it to obtain a polynomial-time probably approximately correct algorithm for learning the Horn envelope of an arbitrary domain.03G10 68T27 Copyright © 2018, The Authors. All rights reserved.

关键词： Learning algorithms

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A decision support system with distributed agents for large-scale process control

A decision support system with distributed agents for large-...

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Mediterranean Conference on Control and Automation (MED)

作者： A. Prayati A. Stathaki E. Furusjo R. E. King Data and Knowledge Engineering Group Computer Technology Institute Athens Greece Environmental Research Institute IVL Stockholm Sweden

As CIM systems are being developed to assist plant managers and operators with real-time monitoring and control, the need for decision support systems (DSS) becomes apparent so as to investigate alternative control strategies, fault diagnosis and alarming situations. As processes become more complex the need to consider also the environmental impact, on top of the commonly used economical factors, leads to new system architectures and multi-objective optimization. In this paper, a DSS architecture is presented considering distributed agents taking into account a multiplicity of impact factors in order to improve overall process operation.

关键词： Decision support systems Large-scale systems Process control Environmental economics Control systems Power generation economics Runtime Monitoring SCADA systems knowledge management

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The Geometric Structure of Topic Models

arXiv

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arXiv 2024年

作者： Hirth, Johannes Hanika, Tom Knowledge & Data Engineering Group University of Kassel Kassel Germany Intelligent Information Systems University of Hildesheim Hildesheim Germany

Topic models are a popular tool for clustering and analyzing textual data. They allow texts to be classified on the basis of their affiliation to the previously calculated topics. Despite their widespread use in research and application, an in-depth analysis of topic models is still an open research topic. State-of-the-art methods for interpreting topic models are based on simple visualizations, such as similarity matrices, top-term lists or embeddings, which are limited to a maximum of three dimensions. In this paper, we propose an incidence-geometric method for deriving an ordinal structure from flat topic models, such as non-negative matrix factorization. These enable the analysis of the topic model in a higher (order) dimension and the possibility of extracting conceptual relationships between several topics at once. Due to the use of conceptual scaling, our approach does not introduce any artificial topical relationships, such as artifacts of feature compression. Based on our findings, we present a new visualization paradigm for concept hierarchies based on ordinal motifs. These allow for a top-down view on topic spaces. We introduce and demonstrate the applicability of our approach based on a topic model derived from a corpus of scientific papers taken from 32 top machine learning venues. Copyright © 2024, The Authors. All rights reserved.

关键词： Visualization

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Adaptive Hypermedia and Adaptive Web-Based Systems 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Vincent P. Wade Helen Ashman Barry Smyth

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Towards the use of policy decomposition for composite service management by non-expert end-users

Towards the use of policy decomposition for composite servic...

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IEEE Network Operations and Management Symposium Workshops (NOMS Workshops)

作者： John Keeney David Lewis Vincent Wade Knowledge & Data Engineering Group (KDEG) & FAME School of Computer Science & Statistics Trinity College Dublin Dublin Ireland

ISBN: (纸本)9781424460373;9781424460380

With the advent of Web 2.0, as web service composition gets easier, there is a trend towards nonexpert users not just consuming information and services, but also providing, aggregating, composing and eventually managing their own information, services and resources. However non-expert users need to manage their composed services in a way they can understand. Policy-based management promises the ability to control services in a consistent manner via high-level declarative directives, constraints and goals. However, a significant drawback of policy-based management for complex systems remains the lack of an automated mechanism to resolve the meaning of high-level goals so they can be enforced [1,2]. We propose an approach to compose the available heterogeneous management interfaces of underlying constituent services to produce a coherent higher-level management interface for the composite service. This composed management interface can then be presented to the user at a level of abstraction that corresponds to non-expert user's needs thereby allowing the user to express their specific requirements. Hence the user can manage their composite service, in a manner tailored to them, without the burden of needing to understand how to manage each constituent service. This supports lower-cost user-initiated management, without access to IT experts, thereby increasing productivity and lowering operating costs.

关键词： knowledge management Resource management engineering management data engineering Computer science Statistics Educational institutions Web services Information management Automatic control

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