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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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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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RESP: A Computer Aided OWL REasoner Selection Process

RESP: A Computer Aided OWL REasoner Selection Process

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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

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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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Improving Query and Result List Adaptation in Personalized Multilingual Information Retrieval 11

Improving Query and Result List Adaptation in Personalized M...

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International Conference on Research and Development in Information Retrieval

作者： M. Rami Ghorab Centre for Next Generation Localisation Knowledge & Data Engineering Group Trinity College Dublin Dublin 2 Ireland

ISBN: (纸本)9781450312509

A general characteristic of Information Retrieval (IR) and Multilingual IR (MIR) [5] systems is that if the same query was submitted by different users, the system would yield the same results, regardless of the user. On the other hand, Adaptive Hypermedia (AH) systems operate in a personalized manner where the services are adapted to the user [1]. Personalized IR (P1R) is motivated by the success in both areas, IR and AH [4]. IR systems have the advantage of scalability and AH systems have the advantage of satisfying individual user needs. The majority of studies in PIR literature have focused on monolingual IR, and relatively little work has been done concerning multilingual *** PhD research study aims to improve personalization in MIR systems, by improving the relevance of multilingual search results with respect to the user and not just the query. The study investigates how to model different aspects of a multilingual search user. Information about users can be demographic information, such as language and country, or information about the user's search interests. This information can be gathered explicitly by asking the user to supply the required information or implicitly by inferring the information from the user's search history. The study will then investigate how to exploit the modeled user information to personalize the user's multilingual search by performing query and result list adaptation. The main research questions that are addressed in this study are: how to improve the relevance of search results with respect to individual users in PMIR and how to construct profiles that represent aspects and interests of a multilingual search *** far, the work carried out for this study included: (I) a proposed framework for the delivery and evaluation of PMIR [3]; and (2) exploratory experiments with search history and collection (result) re-ranking on a dataset of multilingual search logs [2]. The next stage of experimentation will involve the investiga

关键词： Personalized Multilingual Information Retrieval User Modeling

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A study in the expressiveness of semantically different policy modelling schemes

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

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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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Sentiment classification via L2-norm deep belief network 11

Sentiment classification via L2-norm deep belief network

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20th ACM Conference on Information and knowledge Management, CIKM'11

作者： Liu, Tao Li, Minghui Zhou, Shusen Du, Xiaoyong Key Laboratory of Data Engineering and Knowledge Engineering MOE 100872 Beijing China School of Information Renmin University of China 100872 Beijing China Microsoft Asian Research and Development Group 100080 Beijing China Shenzhen Graduate School Harbin Institute of Technology 518055 Shenzhen China

ISBN: (纸本)9781450307178

Automatic analysis of sentiments expressed in large scale online reviews is very important for intelligent business applications. Sentiment classification is the most popular task of sentiment analysis, which is more challenging than traditional topic-based text classification. Basic features, such as vocabulary words, are not enough to classify sentiments well. Deep Belief Network (DBN) is introduced to discover more abstract features of sentiments. To capture full information of the features, large-size network can be constructed, but at the same time, large-size network tends to over fit the training data and even noise, which will reduce the generalization ability of the network. In this paper, L2-norm Deep Belief Network (L2DBN) is proposed, which uses L2-norm regularization to optimize the network parameters of DBN. L2DBN is first initialized by an unsupervised layer-wise training algorithm, and then fine-tuned by a supervised procedure. Network parameters are optimized using both classification loss and network complexity. Experimental results show that the proposed L2DBN outperforms the state-of-the-art method and the basic DBN on golden, noisy and heterogeneous datasets. © 2011 ACM.

关键词： Sentiment analysis

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

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

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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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MooM -- A Prototype Framework for Management of Ontology Mappings

MooM -- A Prototype Framework for Management of Ontology Map...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Hendrik Thomas Rob Brennan Declan O'Sullivan Federated Autonomic Management of End-to-end Communication Services (FAME) Knowledge & Data Engineering Group Trinity College Dublin Ireland

The heterogeneity of ontologies is a major obstacle to the promised interoperability of knowledge in the Semantic Web. Ontology mappings can help to mitigate the effects by specifying the correspondences between related ontologies. However, the creation of mappings is still complex and time-consuming and therefore it is appealing to discover existing mappings and to reuse them. For reuse, it is essential to understand how a mapping was created and applied. Thus meta-data documenting the lifecycle of an ontology mapping is essential to facilitate management and reuse. Currently the mapping lifecycle is only fragmentary documented and in general the reuse of ontology mappings is insufficiently supported by applications and formats. This paper addresses the question to what extent a semantically expressive ontology-based meta-data model can aid in the discovery, management and reuse of ontology mappings. In particular, experimental results collected from a use-case study on mapping discovery are presented. Based on findings derived, it is shown that semantic rich and effective meta-data describing the ontology mapping lifecycle are crucial for management of ontology mappings. Finally, to address the identified challenges, a framework for management of ontology mappings is outlined.

关键词： Ontologies Documentation Resource description framework Semantics Measurement Educational institutions

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