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1st International Workshop on Context-Aware Middleware and Services, CAMS 2009

作者： O'Neill, Eleanor McGlinn, Kris Lewis, David Bailey, Eoin Dobson, Simon McCartney, Kevin Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland Systems Research Group School of Computer Science and Informatics UCD Dublin Ireland Centre for Architectural Education College of Science Engineering and Food Science University College Cork Ireland

ISBN: (纸本)9781605585253

Research on context aware systems is handicapped by the lack of readily available large scale data sets, as well as by the lack of tools by which researchers can interact effectively with such data sets across a range of scales and granularities. We show how virtual reality combined with a dynamical systems analysis approach can start to address these gaps. Simulation allows for generation of simulated sensor data at runtime and actuations of entities in the virtual world. The ease of sensor deployment and configurations in a simulated environment allows for rapid reconfigurations enabling generation of the required large scale data sets for analysis. Using these data sets, dynamical systems analysis can determine if a given application is functioning in a manner that is deemed to be correct. Copyright © 2009 ACM.

关键词： Virtual reality

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Adaptive semantic interoperability strategies for knowledge based networking

Journal of Software

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Journal of Software 2009年第8期4卷 808-820页

作者： Guo, Song Keeney, John Lewis, David O'Sullivan, Declan Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin 2 Ireland

knowledge-based networking involves the forwarding of messages across a network based on semantics of the data and associated metadata of the message content. However such systems typically assume a common semantic model underpinning the routing which limits their ability to cope with heterogeneity. In contrast, the authors have developed a semantic-based publish/subscribe system that is unique in allowing several semantic models to support routing. This paper examines the content heterogeneity problem in a knowledge-based Network (KBN) implementation and evaluates a mechanism for efficiently and dynamically loading ontological mappings for use with distributed and heterogeneous knowledge-based applications. It compares a number of strategies that use pre-existing semantic mapping information stored in KBN routers. Evaluation results show that this mechanism can effectively solve the heterogeneity problem. © 2009 ACADEMY PUBLISHER.

关键词： Semantics

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A distributed mofel for digital personal environments management

A distributed mofel for digital personal environments manage...

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6th International Workshop on Managing Ubiquitous Communications and Services, MUCS'09

作者： Lozano, José A. González, Juan M. Rodríguez, Álvaro O'Sullivan, Declan Lewis, Dave Autonomic Systems Division Telefónica Investigación y Desarrollo Madrid Spain Intelligent Systems Universidad Complutense Madrid Spain Knowledge and Data Engineering Group Trinity College Dublin Dublin Ireland

ISBN: (纸本)9781605585796

Digital Personal Environments (DPE) infrastructure is far from traditional end users' devices and its associated management is a big challenge for both Service Providers and Users. Due to the dynamic and heterogeneous nature of DPE, centralized management paradigms are no longer valid. This paper presents a new distributed paradigm that is based on Autonomic Communications principles and concepts to build self-managed environments. Semantic technologies are the cornerstone for the self-management paradigm. So as to effectively control DPEs, methods of governance must also be provided. Policies provide a high level language for users that can realize such governance. A proof of concept shows the feasibility of the new paradigmalthough some aspects need to be further developed, related for instance tothe lack of standardization and agreement in the industry. © 2009 ACM.

关键词： High level languages

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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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An Automatically Composable OWL Reasoner for Resource Constrained Devices

An Automatically Composable OWL Reasoner for Resource Constr...

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International Conference on Semantic Computing

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

ISBN: (纸本)9781424449620

Centralized semantic sensor network systems gradually show performance degradation as the scale of the sensor network increases. Thus systems based on distributed approaches with local, autonomous management features are urgently required. In order to achieve local autonomy, it is necessary to push semantics towards the edge of the sensor network, but this is hampered by the lack of availability of lightweight ontology processing and reasoning technologies that are cognizant of the limited resources available in sensor network nodes. This paper proposes an approach to dynamically and automatically compose an ontology reasoner to provide only the level of OWL reasoning required for a given application. A design and prototype implementation are presented, with initial evaluations confirming that this approach saves memory without loss of reasoning ability, which facilitates OWL reasoning on the resource constrained devices typical in sensor networks.

关键词： OWL Ontologies Sensor systems Wireless sensor networks Prototypes Computer networks Fault diagnosis Sun data engineering Computer science

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A Framework for Cross-language Search Personalization

A Framework for Cross-language Search Personalization

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International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： M. Rami Ghorab Dong Zhou Alexander O'Connor Vincent Wade Centre for Next Generation Localisation Knowledge & Data Engineering Group Trinity College Dublin Dublin Ireland

Search personalization is an area of considerable research interest. In this paper, we propose a framework for personalizing cross-language search using user models. Our work extends existing studies in two directions. First, the framework extends to the area of cross-language information retrieval. Second, the study aims to elicit features of cross-language search behavior from multilingual search logs. We argue that we can infer a user model, that describes individual user interests and behavior, which can be partially bootstrapped based on choice of interface language. Our experiments involved mining multilingual search logs for interesting patterns of cross-language search behavior. Different patterns were exhibited for users of different languages. The results suggest that there is scope for further investigation on the use of log analysis to improve personalization of cross-language search.

关键词： Information retrieval Feedback History data engineering Educational institutions Adaptation model Pattern analysis database languages Filling Demography

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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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International Conference on Ultra Modern Telecommunications and Workshops (ICUMT)

作者： Rob Brennan Wei Tai Declan O'Sullivan Muhammad S. Aslam Susan Rea Dirk Pesch Knowledge and Data Engineering Group Trinity College Dublin Ireland Department of Electronic Engineering Cork Institute of Technology Ireland

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.

关键词： Middleware Intelligent structures Wireless sensor networks Smart buildings Intelligent sensors Performance analysis Network topology Energy management Monitoring Redundancy

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Web Service Integration for Next Generation Localisation

Web Service Integration for Next Generation Localisation

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2009 Workshop on Software engineering, Testing, and Quality Assurance for Natural Language Processing, SETQA-NLP 2009

作者： Lewis, David Curran, Stephen Feeney, Kevin Etzioni, Zohar Keeney, John Way, Andy Schäler, Reinhard Centre for Next Generation Localisation Knowledge and Data Engineering Group Trinity College Dublin Ireland Centre for Next Generation Localisation School of Computing Dublin City Universit Y Ireland Centre for Next Generation Localisation Centre for Localisation Research University of Limerick Ireland

ISBN: (纸本)9781932432329

Developments in Natural Language Processing technologies promise a variety of benefits to the localization industry, both in its current form in performing bulk enterprise-based localization and in the future in supporting personalized web-based localization on increasingly user-generated content. As an increasing variety of natural language processing services become available, it is vital that the localization industry employs the flexible software integration techniques that will enable it to make best use of these technologies. To date however, the localization industry has been slow reap the benefits of modern integration technologies such as web service integration and orchestration. Based on recent integration experiences, we examine how the localization industry can best exploit web-based integration technologies in developing new services and exploring new business models. © 2009 Association for Computational Linguistics.

关键词： Web services

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The anti-social tagger - Detecting spam in social bookmarking systems

The anti-social tagger - Detecting spam in social bookmarkin...

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4th International Workshop on Adversarial Information Retrieval on the Web, AIRWeb 2008

作者： Krause, Beate Hotho, Andreas Schmitz, Christoph Stumme, Gerd Knowledge and Data Engineering Group University of Kassel Germany

ISBN: (纸本)9781605581590

The annotation of web sites in social bookmarking systems has become a popular way to manage and find information on the web. The community structure of such systems attracts spammers: recent post pages, popular pages or specific tag pages can be manipulated easily. As a result, searching or tracking recent posts does not deliver quality results annotated in the community, but rather unsolicited, often commercial, web sites. To retain the benefits of sharing one's web content, spam-fighting mechanisms that can face the flexible strategies of spammers need to be developed. A classical approach in machine learning is to determine relevant features that describe the system's users, train different classifiers with the selected features and choose the one with the most promising evaluation results. In this paper we will transfer this approach to a, social bookmarking setting to identify spammers. We will present features considering the topological, semantic and profile-based information which people make public when using the system. The dataset used is a snapshot of the social bookmarking system BibSonomy and was built over the course of several months when cleaning the system from spam. Based on our features, we will learn a large set of different classification models and compare their performance. Our results represent the groundwork for a first application in BibSonomy and for the building of more elaborate spam detection mechanisms.

关键词： Semantics

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Towards ontology mapping for ordinary people

Towards ontology mapping for ordinary people

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ESWC 2008 Ph.D. Symposium

作者： Conroy, Colm O'Sullivan, Declan Lewis, David Knowledge and Data Engineering Group Trinity College Dublin Ireland

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