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检索条件"机构=Data Science and Knowledge Engineering"

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Multi-view random walk framework for search task discovery from click-through log 11

Multi-view random walk framework for search task discovery f...

引用

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

作者： Cui, Jianwei Liu, Hongyan Yan, Jun Ji, Lei Jin, Ruoming He, Jun Gu, Yingqin Chen, Zheng Du, Xiaoyong Key Labs. of Data Engineering and Knowledge Engineering School of Information Renmin University of China China Department of Management Science and Engineering Tsinghua University China Microsoft Research Asia Beijing China Computer Science Department Kent State University United States

ISBN: (纸本)9781450307178

Search engine users often have clear search tasks hidden behind their queries. Inspired by this, the modern search engines are providing an increasing number of services to help users simplify their key tasks. However, the problem of what are the major user search tasks with high traffic for which search engines should design special services is still underexplored. In this paper, we propose a novel Multi-view Random Walk (MRW) algorithm to measure the search task oriented similarity between queries, and then group search queries with similar tasks so that the major search tasks of users can be identified from search engine click-through log. The proposed MRW, which is a general framework to combine knowledge from different views in a random walk process, allows the random surfer to walk across different views to integrate information for search task discovery. Experimental results on click-through log of a commonly used commercial search engine show that our proposed MRW algorithm can effectively discover user search tasks. © 2011 ACM.

关键词： Search engines

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Multilingual adaptive search for digital libraries

引用

Lecture Notes in Computer science

作者： Ghorab, M. Rami Leveling, Johannes Lawless, Séamus O'Connor, Alexander Zhou, Dong Jones, Gareth J. F. Wade, Vincent Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Dublin 2 Ireland CNGL School of Computing Dublin City University Dublin 9 Ireland

ISBN: (纸本)9783642244681

We describe a framework for Adaptive Multilingual Information Retrieval (AMIR) which allows multilingual resource discovery and delivery using on-the-fly machine translation of documents and queries. Result documents are presented to the user in a contextualised manner. Challenges and affordances of both adaptive and multilingual IR, with a particular focus on digital libraries, are detailed. The framework components are motivated by a series of results from experiments on query logs and documents from The European Library. We conclude that factoring adaptivity and multilinguality aspects into the search process can enhance the user's experience with online digital libraries. © 2011 Springer-Verlag.

关键词： Digital libraries

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Effect factors on secondary structure of protein sequence pattern

Effect factors on secondary structure of protein sequence pa...

引用

International Workshop on Intelligent Systems and Applications

作者： Liu, Tao Li, Minghui Key Laboratory of Data Engineering and Knowledge Engineering MOE Beijing 100872 China School of Information Renmin University of China Beijing 100872 China School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China

ISBN: (纸本)9781424498574

Discovering the relationship between protein sequence pattern and protein secondary structure is important for accurately predicting secondary structure of protein sequence. A protein secondary structure pattern dictionary is constructed using protein sequence pattern and its corresponding secondary structure in this paper. Based on the constructed dictionary, we propose four effect factors on secondary structure of protein sequence pattern, including 1) the core pattern itself;2) patterns or amino acid residues that neighbor with the core pattern;3) patterns or amino acid residues that are far away from the core pattern;and 4) amino acid sequence segment that match the core pattern. Statistical measures are adopted to analyze these factors. The experimental result shows the reliability of these factors. The recognition of these effect factors presents new directions to predict protein secondary structure based on protein pattern dictionary. © 2011 IEEE.

关键词： Amino acids

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A mandatory access control model based on concept lattice

A mandatory access control model based on concept lattice

引用

International Conference on Network Computing and Information Security (NCIS)

作者： Zhang, Lei Zhang, Hongli Yin, Lihua Shen, Xiajiong School of Computer Science and Technology Harbin Institute of Technology Harbin China Institute of Computing Technology Chinese Academy of Sciences Beijing China Institute of Data and Knowledge Engineering Henan University Kaifeng China

ISBN: (纸本)9780769543550

Confidentiality and integrity of information are basic attributes of information security, but the existing access control models cannot unify the both well. A mandatory access control model based on access control concept lattice is proposed in this paper. This model integrates many safe sensitivity labels such as integrity, confidentiality, security category. Thus, mandatory constraints of the access of subject to the object can be realized, and Hasse diagram of lattice can be created automatically, such that security levels of the subject and object in the system can be displayed clearly. © 2011 IEEE.

关键词： Access control models

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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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A practice probability frequent pattern mining method over transactional uncertain data streams

A practice probability frequent pattern mining method over t...

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Lecture Notes in Computer science

作者： Liao, Guoqiong Wu, Linqing Wan, Changxuan Xiong, Naixue School of Information Technology Jiangxi University of Finance and Economics Nanchang 330013 China Jiangxi Key Laboratory of Data and Knowledge Engineering Nanchang 330013 China Department of Computer Science Georgia State University United States

ISBN: (纸本)9783642236402

In recent years, large amounts of uncertain data are emerged with the widespread employment of the new technologies, such as wireless sensor networks, RFID and privacy protection. According to the features of the uncertain data streams such as incomplete, full of noisy, non-uniform and mutable, this paper presents a probability frequent pattern tree called PFP-tree and a method called PFP-growth, to mine probability frequent patterns based on probability damped windows. The main characteristics of the suggested method include: (1) adopting time-based probability damped window model to enhance the accuracy of mined frequent patterns;(2) setting an item index table and a transaction index table to speed up retrieval on the PFP-tree;and (3) pruning the tree to remove the items that cannot become frequent patterns;. The experimental results demonstrate that PFP-growth method has better performance than the main existing schemes in terms of accuracy, processing time and storage space. © 2011 Springer-Verlag.

关键词： Probability

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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

2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011

作者： Keeney, John Boran, Aidan Bedini, Ivan Matheus, Christopher J. Patel-Schneider, Peter F. Knowledge and Data Engineering Group Computer Science and Statistics Trinity College Dublin Ireland Bell Labs. Alcatel-Lucent Dublin Ireland Bell Labs. Alcatel-Lucent Murray Hill United States

ISBN: (纸本)9780769545134

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 datastores. 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. © 2011 IEEE.

关键词： Semantics

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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

引用

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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