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12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011

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

ISBN: (纸本)9781424492213

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. © 2011 IEEE.

关键词： Mapping

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Predicting New User's Behavior in Online Dating Systems

Predicting New User's Behavior in Online Dating Systems

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7th International Conference on Advanced data Mining and Applications

作者： Wang, Tingting Liu, Hongyan He, Jun Jiang, Xuan Du, Xiaoyong Key Labs. of Data Engineering and Knowledge Engineering School of Information Renmin University of China 100872 China Department of Management Science and Engineering Tsinghua University 100084 China

ISBN: (纸本)9783642258558

Predicting new user's reaction behavior to its recommended candidate partner correctly is critical to improve recommendation accuracy in online dating systems. However, new user (cold start) problem and data sparseness problem in the online dating system make this task very challenging. In this paper, we propose a hybrid method called crowd wisdom based behavior prediction to solve the two problems and achieve good prediction accuracy. By this method, old users who have been recommended partners before are first separated into groups. Users in each group have similar preference for partners. Then, we propose a novel measure to combine a group user's collective behavior to predict one user's behavior, which can solve the data sparseness problem. By calculating the probability a new user belongs to each group and utilizing the group's behavior we can solve the new user problem. Based on these strategies. we develop a behavior prediction algorithm for new users. Experimental results conducted on a real online dating dataset show that our proposed method performs better than other traditional methods.

关键词： online dating recommendation clustering classification

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Towards multilingual user models for Personalized multilingual Information Retrieval

Towards multilingual user models for Personalized multilingu...

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1st Workshop on Personalised Multilingual Hypertext Retrieval, PMHR 2011, Held in Conjunction with the ACM Hypertext 2011, HT2011

作者： Ghorab, M. Rami Zhou, Dong Ben, Steichen Wade, Vincent Centre for Next Generation Localisation Knowledge and Data Engineering Group School of Computer Science and Statistics Dublin 2 Ireland

ISBN: (纸本)9781450308977

The majority of studies in Personalized Information Retrieval (PIR) literature have focused on monolingual IR, and only relatively little work has been done concerning multilingual IR. In this paper we propose a novel method to represent user models in a multilingual fashion. We argue that such representation would be more suitable for Personalized Multilingual Information Retrieval (PMIR). Furthermore, we outline two algorithms for query adaptation based on user information from the multilingual user model. © 2011 ACM.

关键词： User profile

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Challenges for the multi-lingual, multi-dimensional personalised web

Challenges for the multi-lingual, multi-dimensional personal...

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1st Workshop on Personalised Multilingual Hypertext Retrieval, PMHR 2011, Held in Conjunction with the ACM Hypertext 2011, HT2011

作者： Wade, Vincent Centre for Next Generation Localisation Knowledge and Data Engineering Group School of Computer Science and Statistics Dublin 2 Ireland

ISBN: (纸本)9781450308977

The explosive growth of the Internet has seen it exceed over two billion users in 2010. However an analysis of the demography of this user base indicates an ever growing diversity. Currently only 38.8% of internet users originate from the countries such as Europe, America and Australia whereas 61.2% internet users come from the Africa, Asia and Middle East1. Moreover, these figures are changing even farther in favour of Africa, Asia and Middle East countries since their current internet penetration levels are relatively low e.g. the penetration of the internet in China/Asia is only at 21%, and Africa is only 10%. It is clear that the diversity of the user base of the web is growing rapidly. Moreover research is showing that each individual uses the WWW in different ways that suit their own personal needs, preferences. However, it is also clear that these differences extends far beyond just the appropriateness of content selection, and encompasses many dimensions e.g. tasks & activities, cultural preferences, language and social interaction etc. From a language diversity perspective, this growing diversity of internet users is increasingly apparent with English only accounting for 27% of all languages on the Internet in 2010. Other evidence of user diversity is demonstrated in social networking sites such as Facebook where in 2007 it supported 50M users in only one language (English) whilst by 2010 it had grown to 600M users and supported 77 different languages. By 2010 55% (approximately 13.75 Billion) tweets on Twitter were non-English. The expansion of the internet is not just in user number but has also resulted in vast quantities and great diversity of WWW accessible content where user generated content has for some time exceeded traditional web hosted content. In 2011, mobile access to the Internet and WWW has exceeded that accessed from desktop computers. Increasingly digital content on the internet is reaching users, not just through traditional web queries b

关键词： Social networking (online)

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Scalable process modeling based on net synthesis under cloud computing environment

Scalable process modeling based on net synthesis under cloud...

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2011 IEEE International Conference on Granular Computing, GrC 2011

作者： Zhou, Jiantao Liang, Rong Wang, Yan College of Computer Science Inner Mongolia University Hohhot China Key Laboratory of Data Mining and Knowledge Engineering Hohhot China

ISBN: (纸本)9781457703713

Recently research on modeling methods of complicated processes under complex network environments has become a focus in workflow field. Now cloud computing environment provides a specific application background for the interaction and collaboration of workflows. In this paper, workflow processes were modeled as Semantics Constrained Net (SCN), which is one kind of extended Petri net. Then net synthesis mechanism constrained by semantics was researched, including synthesis rules and liveness proven. And a scalable solution of complex workflow process modeling in cloud was proposed. An instance of e-business was given to describe cooperative workflow under cloud computing environment. © 2011 IEEE.

关键词： Semantics

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Supporting learner model exchange in educational web systems

Supporting learner model exchange in educational web systems

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作者： Walsh, Eddie O'Connor, Alexander Wade, Vincent Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin 2 Ireland

ISBN: (纸本)9789898425515

The heterogeneity of learner models in structure, syntax and semantics makes sharing them a significant challenge for existing educational web systems. Creating mappings between the different types of learner models is one technique that is used when attempting to overcome these issues. This paper presents an overview of research currently being conducted in the area of learner model exchange and defines a categorization, derived from existing educational web systems, of the different mapping types that are required for learner model mapping. Following this, a framework is presented that supports the creation and validation of these different mapping types and the exchange of learner information between multiple heterogeneous educational web systems.

关键词： Mapping

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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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6th International Conference on Risks and Security of Internet and Systems, CRiSIS 2011

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

ISBN: (纸本)9781457718915

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. © 2011 IEEE.

关键词： Computer circuits

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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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2011 IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2011 and 2011 IEEE International Conference on Social Computing, SocialCom 2011

作者： Lemmerich, Florian Atzmueller, Martin Artificial Intelligence and Applied Computer Science University of Würzburg 97074 Ẅurzburg Germany Knowledge and Data Engineering Group University of Kassel 34121 Kassel Germany

ISBN: (纸本)9780769545783

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. © 2011 IEEE.

关键词： data mining

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Extract knowledge from semi-structured websites for search task simplification 11

Extract knowledge from semi-structured websites for search t...

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

作者： Gu, Yingqin Yan, Jun Liu, Hongyan He, Jun Ji, Lei Liu, Ning Chen, Zheng Key Labs. of Data Engineering and Knowledge Engineering School of Information Renmin University of China Beijing China Microsoft Research Asia Beijing China Department of Management Science and Engineering Tsinghua University Beijing China

ISBN: (纸本)9781450307178

Simplifying the key tasks of search engine users by directly retrieving to them structured knowledge according to their queries is attracting much attention from both industry and academia. A bottleneck of this challenging problem is how to extract the structured knowledge from the noisy and complex Web scale websites automatically. In this paper, we propose an unsupervised automatic wrapper induction algorithm, named as Scalable knowledge Extractor from webSites (SKES). SKES induces the wrapper in a divide and conquer mode, i.e., it divides the general wrapper into several sub-wrappers to learn from the data independently. Moreover, through employing techniques such as tag path representation of Web pages, SKES is verified to be efficient and noise-tolerant by the experimental results. Furthermore, based on our automatically extracted knowledge, we also built a prototype to serve structured knowledge to end users for simplifying their key search tasks. Very positive feedbacks were received on the prototype. © 2011 ACM.

关键词： Websites

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Large scale report generation in data consolidation environments of banks

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of science and Technology (Natural science Edition) 2012年第SUPPL.1期40卷 5-8页

作者： Qin, Xiongpai Zhou, Xiaoyun Wu, Zhongxin Yang, Hongzhi Wang, Wei Ministry of Education Key Lab of Data Engineering and Knowledge Engineering Renmin University of China Beijing 100872 China Information School Renmin University of China Beijing 100872 China Computer Science Department Jiangsu Normal University Xuzhou 221116 Jiangsu China Beijing Nantian Software Co. Ltd. Beijing 100085 China

To generate large number of reports in a limited time window, four techniques were proposed, including ROLAP&SQL, Shared Scanning, Hadoop based Solution, and MOLAP&Cube Sharding, an algorithm that performs in memory aggregation was designed for the second solution. The experiment results show that all techniques except ROLAP&SQL can meet the time window constraint, the Hadoop based solution is a promising technique owe to its highly scalability. Considering maturity of the techniques and their performance, we put MOLAP&Cube Sharding into practice while keeping an eye on Hadoop for future adoption.

关键词： Custom report data consolidation Hadoop Large bank MOLAP ROLAP

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