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Multilingual adaptive search for digital libraries

引用

Lecture Notes in computer science

作者： Ghorab, M. Rami Leveling, Johannes Lawless, Séamus O'Connor, Alexander Zhou, Dong Jones, Gareth J. F. Wade, Vincent Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin 2 Ireland CNGL School of Computing Dublin City University Dublin 9 Ireland

ISBN: (纸本)9783642244681

We describe a framework for Adaptive Multilingual Information Retrieval (AMIR) which allows multilingual resource discovery and delivery using on-the-fly machine translation of documents and queries. Result documents are presented to the user in a contextualised manner. Challenges and affordances of both adaptive and multilingual IR, with a particular focus on digital libraries, are detailed. The framework components are motivated by a series of results from experiments on query logs and documents from The European Library. We conclude that factoring adaptivity and multilinguality aspects into the search process can enhance the user's experience with online digital libraries. © 2011 Springer-Verlag.

关键词： Digital libraries

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A web statistics based conflation approach to improve Arabic text retrieval

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

引用

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

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

引用

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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Approaches to relating and integrating semantic data from heterogeneous sources

Approaches to relating and integrating semantic data from he...

引用

2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011

作者： Keeney, John Boran, Aidan Bedini, Ivan Matheus, Christopher J. Patel-Schneider, Peter F. Knowledge and Data Engineering Group Computer Science and Statistics Trinity College Dublin Ireland Bell Labs. Alcatel-Lucent Dublin Ireland Bell Labs. Alcatel-Lucent Murray Hill United States

ISBN: (纸本)9780769545134

Integrating and relating heterogeneous data using inference is one of the cornerstones of semantic technologies and there are a variety of ways in which this may be achieved. Cross source relationships can be automatically translated or inferred using the axioms of RDFS/OWL, via user generated rules, or as the result of SPARQL query result transformations. For a given problem it is not always obvious which approach (or combination of approaches) will be the most effective and few guidelines exist for making this choice. This paper discusses these three approaches and demonstrates them using an "acquaintance" relationship drawn from data residing in common RDF information sources such as FOAF and DBLP datastores. The implementation of each approach is described along with practical considerations for their use. Quantitative and qualitative evaluation results of each approach are presented and the paper concludes with initial suggestions for guiding principles to help in selecting an appropriate approach for integrating heterogeneous semantic data sources. © 2011 IEEE.

关键词： Semantics

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Dynamic contextual usage metadata for learning resource reuse in adaptive environments

Dynamic contextual usage metadata for learning resource reus...

引用

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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RESP: A computer Aided OWL REasoner Selection Process

RESP: A Computer Aided OWL REasoner Selection Process

引用

International Conference on Semantic Computing

作者： Wei Tai John Keeney Declan O'Sullivan Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin Ireland

Existing approaches for selecting the most appropriate reasoner for different semantic applications mainly relies on discussions between application developers and reasoner experts. However this approach will become inadequate with the increasing adoption of Semantic Web technologies in applications from different domains and the rapid development of OWL reasoning technologies. This work proposes RESP, a computer aided reasoner selection process designed to perform reasoner selection for different applications and so reduce the effort and communication overhead required to select the most appropriate reasoner. Preliminary evaluation results show that RESP successfully helps application developers to select the most appropriate reasoner, or at least narrow down the number of candidate reasoners to consider. Contributions of this work are two folds: (1) the design of a (relatively simple but useful) computer aided OWL reasoner selection process, and (2) the identification and discussion of a set of example application characteristics that can affect the OWL reasoner selection.

关键词： OWL Cognition Ontologies Semantics Algorithm design and analysis Bioinformatics Concrete

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A comparison of content-based tag recommendations in folksonomy systems

引用

Lecture Notes in computer science

作者： Illig, Jens Hotho, Andreas Jäschke, Robert Stumme, Gerd Knowledge and Data Engineering Group Department of Mathematics and Computer Science University of Kassel Wilhelmshöher Allee 73 34121 Kassel Germany Research Center L3S Appelstraße 9a 30167 Hannover Germany

ISBN: (纸本)9783642221392

Recommendation algorithms and multi-class classifiers can support users of social bookmarking systems in assigning tags to their bookmarks. Content based recommenders are the usual approach for facing the cold start problem, i.e., when a bookmark is uploaded for the first time and no information from other users can be exploited. In this paper, we evaluate several recommendation algorithms in a cold-start scenario on a large real-world dataset. © 2011 Springer-Verlag.

关键词： computers

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Explicit federal relationship management to support semantic integration

Explicit federal relationship management to support semantic...

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IFIP/IEEE International Symposium on Integrated Network Management

作者： Rob Brennan Kevin Feeney Brian Walsh Hendrik Thomas Declan O'Sullivan FAME and Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin Ireland

ISBN: (纸本)9781424492190

Integration of disparate information resources has long been a significant research topic. Semantic approaches can help by allowing expression of concepts divorced from syntax and allowing rich, structured meta-data to be published in a form that is amenable to machine processing, reasoning and inter-domain concept mapping. However the creation of mappings, especially in a dynamic federations of autonomous entities, is time-consuming and vulnerable to brittleness and high maintenance costs due to change at many levels in the system. In this paper we propose an approach to managing change and maximizing mapping reuse by building explicit models of the federal relationship context of mapping deployment. These descriptions enable automated support for mapping reuse suggestions and ease discovery of relevant mappings due to changes at the federation, peer domain, shared capability or local model levels.

关键词： Semantics Resource description framework OWL Logic gates Context Packaging

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A study in the expressiveness of semantically different policy modelling schemes

A study in the expressiveness of semantically different poli...

引用

IFIP/IEEE International Symposium on Integrated Network Management

作者： Christos Tsarouchis Declan O'Sullivan David Lewis Knowledge & Data Engineering Group (KDEG) Department of Computer Science & Statistics Trinity College Dublin Dublin Ireland

ISBN: (纸本)9781424492190

Policy engineering is the process of authoring IT management policies, detecting and resolving policy conflicts and revising existing policies to accommodate changing IT resources, business goals and business processes. Policy authoring is often followed by policy enforcement where the actions specified by subjects are performed on targets (resources). In this paper, we study the use of semantically enhanced techniques, such as ontologies, to model resources and their corresponding actions, coupled with a mechanism that can accommodate frequent organizational change, to model policy subjects. For the modeling of policy subjects, the rule-based Community-based Policy management will be used. This integration falls into the category of combining Description Logics (DL) and Logic Programs (LP). We aim to study this integration primarily from the scope of overall system expressivity, but also from the scope of minimizing the cognitive load perceived by policy authors. Such an evaluation can help determine shortfalls in the design of the software system or of the policy model used. To study the balance in modeling with DL and LP techniques, the encoding of part of the Trinity College Dublin statutes will be performed, which is a sufficiently complex real-world example.

关键词： OWL Load modeling Ontologies Welding Analytical models Security Fires

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Approaches to Relating and Integrating Semantic data from Heterogeneous Sources

Approaches to Relating and Integrating Semantic Data from He...

引用

IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： John Keeney Aidan Boran Ivan Bedini Christopher J. Matheus Peter F. Patel-Schneider Knowledge & Data Engineering Group & FAME Computer Science & Statistics Trinity College Dublin Ireland Bell Laboratories Alcatel-Lucent Dublin Ireland

Integrating and relating heterogeneous data using inference is one of the cornerstones of semantic technologies and there are a variety of ways in which this may be achieved. Cross source relationships can be automatically translated or inferred using the axioms of RDFS/OWL, via user generated rules, or as the result of SPARQL query result transformations. For a given problem it is not always obvious which approach (or combination of approaches) will be the most effective and few guidelines exist for making this choice. This paper discusses these three approaches and demonstrates them using an "acquaintance" relationship drawn from data residing in common RDF information sources such as FOAF and DBLP data stores. The implementation of each approach is described along with practical considerations for their use. Quantitative and qualitative evaluation results of each approach are presented and the paper concludes with initial suggestions for guiding principles to help in selecting an appropriate approach for integrating heterogeneous semantic data sources.

关键词： Semantics OWL Resource description framework Cognition Ontologies Engines Distributed databases

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