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Multilingual ontology mapping: Challenges and a proposed framework

Multilingual ontology mapping: Challenges and a proposed fra...

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23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009

作者： Fu, Bo Brennan, Rob O'Sullivan, Declan Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland

ISBN: (纸本)1902956850

A key problem in supporting multilingual information retrieval and digital content management is reasoning about overlapping context domains. Ontologies are currently emerging as representation techniques for overlapping complimentary context domains. To date, research has focused on the mappings of monolingual ontologies, however, the issue of mapping ontologies written in different natural languages is relatively unexplored at the moment. This paper discusses challenges in the area of multilingual ontology mapping and proposes the semantic oriented mapping for multilingual ontologies (SOMMO) framework to advance the state of the art in multilingual ontology mapping. The SOMMO framework aims to improve multilingual ontology mapping results generated from existing monolingual ontology matching techniques by evaluating the semantics embedded in both the source and target ontologies.

关键词： Ontology

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Testing and evaluating tag recommenders in a live system

Testing and evaluating tag recommenders in a live system

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3rd ACM Conference on Recommender Systems, RecSys'09

作者： Jäschke, Robert Eisterlehner, Folke Hotho, Andreas Stumme, Gerd Knowledge and Data Engineering Group University of Kassel Wilhelmshöher Allee 73 34121 Kassel Germany

ISBN: (纸本)9781605584355

The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on the evaluation and development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance. In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible, open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents a first evaluation of two exemplarily deployed recommendation methods. Copyright 2009 ACM.

关键词： Thesauri

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Testing and evaluating tag recommenders in a live system

Testing and evaluating tag recommenders in a live system

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LWA 2009 - Workshop-Woche: Lernen-Wissen-Adaptivitat - Learning, knowledge and Adaptivity

作者： Jäschke, Robert Eisterlehner, Folke Hotho, Andreas Stumme, Gerd Knowledge and Data Engineering Group University of Kassel Wilhelmshöher Allee 73 34121 Kassel Germany

The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation and development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance. In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system Bib-Sonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible, open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstrating the power of the framework.

关键词： Thesauri

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A simulation-based approach to highly iterative prototyping of ubiquitous computing systems 2

A simulation-based approach to highly iterative prototyping ...

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2nd International ICST Conference on Simulation Tools and Techniques, SIMUTools 2009

作者： O'neill, Eleanor Lewis, David Conlan, Owen Knowledge and Data Engineering Group KDEG School of Computer Science Statistics Trinity College Dublin Dublin Ireland

ISBN: (纸本)9789639799455

Ubiquitous computing (ubicomp), as envisaged by Weiser [22], is heavily user-centric and largely concerned with applications specifically designed to meet end-user needs. Sensor populated ubicomp environments differentiate these applications from existing mobile and distributed systems through context awareness. For the system developer, the problems of heterogeneity and scalability are felt most keenly when designing this adaptive behaviour. A context-aware ubicomp system needs to operate reliably over the wide variety of situations that may be encountered. In this paper we present a technical architecture which has been implemented to support scalable, cost-effective, runtime experimentation using a framework of models to support informed decision making in an iterative design cycle.

关键词： Ubiquitous computing

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Ontology mapping representations: A pragmatic evaluation

Ontology mapping representations: A pragmatic evaluation

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

ISBN: (纸本)1891706241

A common approach to mitigate the effects of ontology heterogeneity is to discover and express the specific correspondences (mappings) between different ontologies. An open research question is: how should such ontology mappings be represented? In recent years several proposals for an ontology mapping representation have been published, but as yet no format is officially standardised or generally accepted in the community. In this paper we will present the results of a systematic analysis of ontology mapping representations to provide a pragmatic state of the art overview of their characteristics. In particular we are interested how current ontology mapping representations can support the management of ontology mappings (sharing, re-use, alteration) as well as how suitable they are for different mapping tasks.

关键词： Mapping

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Open framework middleware for intelligent WSN topology adaption in smart buildings

Open framework middleware for intelligent WSN topology adapt...

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2009 International Conference on Ultra Modern Telecommunications and Workshops

作者： Brennan, Rob Tai, Wei O'Sullivan, Declan Aslam, Muhammad S. Rea, Susan Pesch, Dirk Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland Centre for Adaptive Wireless Systems Department of Electronic Engineering Cork Institute of Technology Ireland

ISBN: (纸本)9781424439416

Modern smart buildings utilize sensor networks for facilities management applications such as energy monitoring. However as buildings become progressively more embedded with sensor networks, the challenge of managing and maintaining the sensor networks themselves becomes ever more significant. As a cost-sensitive activity, facilities management deployments are less likely to deploy node redundancy and specialized technical staff to maintain these networks. Hence there are strong requirements for the network to efficiently self-diagnose, self-heal and integrate with standard buildings management systems. This paper introduces a solution for WSN management in smart buildings that addresses these issues. It is based on the deployment of the Open Framework Middleware for sensor networks coupled with a structured knowledge and rule-based fault analysis engine to perform network event correlation and root cause analysis. The system also explicitly interfaces with a Building Management System (BMS) or the scheduling of network maintenance activities such as sensor battery replacement. ©2009 IEEE.

关键词： Topology

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From subjects to concept clouds-Why semantic mapping is necessary

From subjects to concept clouds-Why semantic mapping is nece...

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1st International Workshop on knowledge Federation 2008

作者： Thomas, Hendrik Markscheffel, Bernd Redmann, Tobias Department of Information-and Knowledge Management TechnischeUniversität Ilmenau P.O. Box 100565 98693 Ilmenau Germany Knowledge / Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland

To realize the vision of the semantic web it is essential to be able to exchange formal modeled knowledge between applications and humans without loss of meaning. In this paper, we focus on questions relating to meaning, interpretation and subject identity in modern semantic web languages. Based on the semiotic triangle we show that topics as well as RDF resources are symbols, representing concepts and not referents as the common term "subject" would indicate. A subject can not be represented as a single entity, but rather as a complex and evolving system of different concepts. Based on this insight we explain how the resulting plurality and uncertainness of the interpretation of symbols can be handled using semantic mappings. By defining transformation rules, the exchange and integration of knowledge from different semantic models becomes possible. Concluding we define recommendations and design guidelines for a semantic mapping management system, which is needed to support users and applications in creating, reusing, managing and applying such semantic mappings.

关键词： Mapping

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Supporting Personalized Information Exploration through Subjective Expert-created Semantic Attributes

Supporting Personalized Information Exploration through Subj...

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International Conference on Semantic Computing

作者： Cormac Hampson Owen Conlan Knowledge and Data Engineering Group Trinity College Dublin Ireland

ISBN: (纸本)9781424449620

Ordinary users are finding it increasingly difficult to explore the large volumes of diverse data they encounter in their everyday lives. Techniques based on data mining algorithms are useful but they tend to be too complex for casual users to work with effectively. Furthermore, these techniques don't allow the user to engage with the information using semantics meaningful to them. Semantically enriched and personalized data exploration is seen as an essential step to support such users. Moreover, by allowing these users to leverage and personalize the subjective insights and knowledge of experts, more relevant and useful information can be discovered and interesting correlations drawn. In order to support these domain specific explorations, a prototype architecture named SARA (Semantic Attribute Reconciliation Architecture) has been built, and its underlying methodology, implementation and initial evaluation are described within this paper.

关键词： Humans data mining Control systems data engineering Educational institutions Prototypes Neural networks Probability data structures Machine learning algorithms

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A learning framework for enabling organisational change within the workplace

A learning framework for enabling organisational change with...

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IADIS International Conference e-Learning 2009, Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2009

作者： Brown, Liam Wade, Vincent Murphy, Eamonn Enterprise Ireland 4500 Atlantic Avenue Westpark Shannon Ireland Knowledge and Data Engineering Group Trinity College Dublin Ireland Enterprise Research Centre University of Limerick Ireland

ISBN: (纸本)9789728924836

A framework is proposed as to how blended learning can be deployed as an effective mechanism to facilitate and support continuous improvement and change management programmes within organisations. The framework supports the current drive in education to move from tutor centred approaches to learner centred approaches. The framework also takes the relevant pedagogical and technological considerations into account and implications for the design of future programmes are posited based on feedback from the current programmes. The framework has been deployed through an initiative known as ULearning. This an innovative connector of industry and academia, addressing individual and corporate skills gaps through professional flexible learning. ULearning courses allow progression from Specialist Diplomas (SD), to Masters (MSc) and on to Professional PhD at the pace of individual participants. The guiding principles are that individuals can earn professional industry certifications and academic qualifications while at work and through courses designed with contextual content based on individual needs. Programme delivery is a blend of on campus face to face lectures, tutorials and workshops;on-line content;technology enabled peer supported learning and workplace based projects and assignments all supported by learning facilitators, and course coordinators. The framework has been extensively evaluated through 4 consecutive cohorts of students from industry over a 2 year period. Evaluation results have been incorporated into the framework and are presented as part of this research study. © 2009 IADIS.

关键词： E-learning

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18th International World Wide Web Conference, WWW 2009

作者： Markines, Benjamin Benz, Dominik Cattuto, Ciro Hotho, Andreas Menczer, Filippo Stumme, Gerd School of Informatics Indiana University Bloomington IN United States Complex Networks Lagrange Laboratory Institute for Scientific Interchange Foundation Torino Italy Knowledge and Data Engineering Group University of Kassel Germany

ISBN: (纸本)9781605584874

Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, and which measures are best suited for applications such as navigation support, semantic search, and ontology learning. Here we build an evaluation framework to compare various general folksonomy-based similarity measures derived from established information-theoretic, statistical, and practical measures. Our framework deals generally and symmetrically with users, tags, and resources. For evaluation purposes we focuson similarity among tags and resources, considering different ways to aggregate annotations across users. After comparing how tag similarity measures predict user-created tag relations, we provide an external grounding by user-validated semantic proxies based on WordNet and the Open Directory. We also investigate the issue of scalability. We find that mutual information with distributional micro-aggregation across users yields the highest accuracy, but is not scalable;per-user projection with collaborative aggregation provides the best scalable approach via incremental computations. The results are consistent across resource and tag similarity. Copyright is held by the International World Wide Web Conference Committee (IW3C2).

关键词： Ontology

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