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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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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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基于知识库的互联网商品信息分类与推荐系统

基于知识库的互联网商品信息分类与推荐系统

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第29届中国数据库学术会议

作者： Zhou Xiaotian 周小田 Wang Hongzhi 王宏志 Guo Xiangyu 郭翔宇 Hu Xiao 胡筱 Dong Zhixin 董志鑫 Li Jianzhong 李建中 Gao Hong 高宏 School of Computer Science Harbin Institute of Technology Harbin 150000 哈尔滨工业大学计算机科学与技术学院哈尔滨 150000 Laboratory of Data Engineering and Knowledge Engineering Harbin Institute of Technology Harbin 150 哈尔滨工业大学数据知识与工程研究中心哈尔滨 150000

基于知识理解的数据挖掘技术在电子商务中可以应用到商品分类和推荐方面。为了弥补传统的基于关键词分类的不足，帮助消费者有效、准确、快速地查询所需信息，系统通过使用Probase概念、实体、属性知识分层模型，把检索出来的具有相同... 详细信息

基于知识理解的数据挖掘技术在电子商务中可以应用到商品分类和推荐方面。为了弥补传统的基于关键词分类的不足，帮助消费者有效、准确、快速地查询所需信息，系统通过使用Probase概念、实体、属性知识分层模型，把检索出来的具有相同关键词但在现实世界中不属于同一类别的商品区别开来。该系统还可以利用商品在数据库中所属类别与其他类别的关系权重，通过建立相应的关键词联想算法更加准确地定位商品的类别，并通过其余关键词的关联度排序，从而为消费者寻找最符合要求的商品集合。

关键词：商品信息分类检索系统优化设计功能模块数据挖掘

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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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Modeling Location-Based Profiles of Social Image Media Using Explorative Pattern Mining

Modeling Location-Based Profiles of Social Image Media Using...

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IEEE International Conference on and IEEE International Confernece on Social Computing (SocialCom) Privacy, Security, Risk and Trust (PASSAT)

作者： Florian Lemmerich Martin Atzmueller Artificial Intelligence and Applied Computer Science University of Würzburg Wurzburg Germany Knowledge and Data Engineering Group University of Kassel Kassel Germany

This paper presents an approach for modeling location-based profiles of social image media based on tagging information and collaborative geo-reference annotations. We utilize pattern mining techniques for obtaining sets of tags that are specific for the specified point, landmark, or region of interest. Next, we show how these candidate patterns can be presented and visualized for interactive exploration using a combination of general pattern mining visualizations and views specialized on geo-referenced tagging data. We present a case study using publicly available data from the Flickr photo sharing application.

关键词： data mining data visualization Visualization Tagging Media Histograms Microscopy

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A trust model for capability delegation in federated policy systems

A trust model for capability delegation in federated policy ...

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International Conference on Risks and Security of Internet and Systems, CRiSIS

作者： Kevin Feeney Simon N. Foley Rob Brennan FAME and Knowledge & Data Engineering Group Intelligent Systems Laboratory Trinity College Dublin Ireland FAME and Department of Computer Science University College Cork Cork Ireland

Federated policy systems are required to support the emergent complexity and organizational heterogeneity of modern Internet service delivery. This paper presents a distributed policy management approach which utilizes a flexible, tree-based capability authority model to partition and delegate federated capabilities or services. A trust management model and a delegation logic is defined which supports secure decentralized policy reasoning and addresses performance overheads due to distributed rule evaluation, threats from malformed or malicious federated principals and allows flexibility with respect to delegation chain reduction or capability authority re-partitioning. The system is evaluated through a security analysis and a prototype implementation of a federated policy engineering framework based on this logic is described. This framework is based on public key certificates and an extension to the Keynote Trust Management language. It provides practical management services such as key discovery and certificate revocation in addition to the core capability delegation function.

关键词： Information services Public key Internet Semantics Authorization Web and internet services

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Constant approximation for virtual backbone construction with Guaranteed Routing Cost in wireless sensor networks

Constant approximation for virtual backbone construction wit...

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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies

作者： Hongwei Du Qiang Ye Weili Wu Wonjun Lee Deying Li Dingzhu Du Stephen Howard Department of Computer Science and Information Technology University of Prince Edward Island Canada Department of Computer Science University of Texas Dallas USA Department of Computer Science and Engineering Korea University Seoul South Korea Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin University of China China

ISBN: (纸本)9781424499199

In wireless sensor networks, virtual backbone construction based on connected dominating set is a competitive issue for routing efficiency and topology control. Assume that a sensor networks is defined as a connected unit disk graph (UDG). The problem is to find a minimum connected dominating set of given UDG with minimum routing cost for each node pair. We present a constant approximation scheme which produces a connected dominating set D, whose size |D| is within a factor α from that of the minimum connected dominating set and each node pair exists a routing path with all intermediate nodes in D and with length at most 5 · d(u,v), where d(u,v) is the length of shortest path of this node pair. A distributed algorithm is also provided with analogical performance. Extensive simulation shows that our distributed algorithm achieves significantly than the latest solution in research direction.

关键词： Routing Approximation methods Distributed algorithms Wireless sensor networks Polynomials Computer science Electronic mail

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A property of reductions in Fuzzy Variable Precision Rough Set model

A property of reductions in Fuzzy Variable Precision Rough S...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Eric C. C. Tsang Su-Yun Zhao Cai-Li Zhou Faculty of Information Technology Macau University of Science and Technology Taipa Macao China Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin University of China China School of Mathematics and Computer Sciences Hebei University China

In this paper, we use strict mathematics reasoning to discover the relation between the threshold and reduction in Fuzzy Variable Precision Rough Sets (FVPRS), i.e., the reductions act as a nested structure with the monotonously increasing threshold. By using the nested structure of reductions, we could design algorithms to quickly find different reductions when a reduction is required. Here `different' means the reductions obtained using different thresholds.

关键词： Rough sets Approximation methods Fuzzy sets Educational institutions Computational modeling Machine learning Cybernetics

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