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Image description mining and hierarchical clustering on data records using HR-tree

Image description mining and hierarchical clustering on data...

引用

8th Asia-Pacific Web Conference, APWeb 2006: Frontiers of WWW Research and Development

作者： Zhang, Cong-Le Huang, Sheng Xue, Gui-Rong Yu, Yong Apex Data and Knowledge Management Lab. Department of Computer Science and Engineering Shanghai JiaoTong University Shanghai 200030 China

ISBN: (纸本)3540311424

Since we can hardly get semantics from the low-level features of the image, it is much more difficult to analyze the image than textual information on the Web. Traditionally, textual information around the image is used to represent the high-level features of the image. We argue that such "flat" representation can not describe images well. In this paper, Hierarchical Representation (HR) and HR-Tree are proposed for image description. Salient phrases in HR-Tree are further to distinguish this image with others sharing the same ancestor concepts. First, we design a method to extract the salient phrases for the images in data records. Then HR-Trees are built using these phrases. Finally, new hierarchical clustering algorithm based on HR-Tree is proposed for users' browsing conveniently. We demonstrate some HR-Trees and clustering results in experimental section. These results illustrate the advantages of our methods. © Springer-Verlag Berlin Heidelberg 2006.

关键词： data mining

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Can museum exhibits support personalised learning in collab.rative classroom activities by using augmented reality?

Can museum exhibits support personalised learning in collabo...

引用

IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005

作者： Monthienvichienchai, Rachada Conlan, Owen Seyedarabi, Faezeh London Knowledge Lab. Institute of Education University of London United Kingdom Knowledge and Data Engineering Group Department of Computer Science Trinity College Dublin Ireland

ISBN: (纸本)9781627483308

This paper proposes a novel approach in integrating seemingly contradictory approaches of teaching and learning via collab.rative and personalised learning activities by using augmented reality museum exhibits. The paper highlights the benefits that computer supported collab.rative learning and computer supported personalised learning bring or promise to bring to the learner. A proposal is given for a study that will setup a common ground for these two approaches via a location-aware augmented reality museum display. The principal aim of the study is to investigate how the process of learning collab.ratively is intertwined with personalised experience of visiting the museum display. Ultimately, the result of the study will provide a new understanding of visitor's experience of museum displays, not only within the context of the museum's location, but also within the classroom where the visit truly begins and finishes.

关键词： Augmented reality

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Discrepancies between reality and expectation: Can Adaptive Hypermedia meet the expectations of teachers?

Discrepancies between reality and expectation: Can Adaptive ...

引用

IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005

ISBN: (纸本)9781627483308

The effort to personalise eLearning has led to the development of sophisticated Adaptive Hypermedia (AH) systems that can adapt to many aspects of the learner's characteristics or explicit preferences. However, while many of these adaptations are grounded in sound pedagogical theories, it is unclear how effective such adaptations are in supporting everyday teaching and learning processes that take place in the classroom today. This paper presents a study that explores what teachers in the UK, who have been named by their colleagues as implementing best-practice in the classroom, expect from an eLearning platform that can adapt to the individual needs of their students. The result of the study shows that there are currently some discrepancies between the teachers' expectations and what adaptive hypermedia currently offers. The paper then concludes by describing how these discrepancies can be addressed in future AH systems.

关键词： Students

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Managing a large shared bank of unstructured data by using free-table

Managing a large shared bank of unstructured data by using f...

引用

12th International Asia Pacific Web Conference, APWeb 2010

作者： Zhang, Xiao Du, Xiaoyong Chen, Jinchuan Wang, Shan Renming University of China Key Lab. of Data Engineering and Knowledge Engineerging MOE China 59 Zhongguancun Street Beijing China

ISBN: (纸本)9780769540122

This paper presents a reference framework, called BUD, to manage a large shared bank of unstructured data. This paper lists several important issues on managing or maintaining the unstructured data in BUD. BUD stores and manages the ever-growing unstructured data by introducing a novel technique called free-table, which is a conceptual view for endusers and a physical entity maintained by transactional storage manager of BUD. Free-table is cell-oriented but not columnoriented as relational table. It can store various types of unstructured data in cell with different versions. Additionally, we study two cases, VMP and PXRDB, to show that our proposal is feasible and tractable. © 2010 IEEE.

关键词： Digital storage

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Region extreme value query in sensor networks

Region extreme value query in sensor networks

引用

6th International Conference on Fuzzy Systems and knowledge Discovery, FSKD 2009

作者： Wu, Zhongbo Chen, Hong School of Information Renmin University of China Beijing 100872 China MOE Key Lab. of Data Engineering and Knowledge Engineering Beijing 100872 China

ISBN: (纸本)9780769537351

Existing research on extreme value query in wireless sensor networks is mainly focus on finding out sensors with highest metric. Yet in most actually scenarios, people cares more about special network regions than detailed metric of some single nodes. We put forward region extreme query in sensor networks which don't consider a sensor node but a region as query unit. We formally define region extreme value query and discuss how they can be expressed using the SQL. Then we devise a distributed algorithm named DCA for in-network evaluation of region extreme value query in dynamic region, aiming at the minimization of power consumption. Experiments show that DCA has good performance. © 2009 IEEE.

关键词： Sensor nodes

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Mining and predicting duplication over peer-to-peer query streams

Mining and predicting duplication over peer-to-peer query st...

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作者： Meng, Shicong Shao, Yifeng Shi, Cong Han, Dingyi Yu, Yong APEX Data and Knowledge Management Lab. Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200030 China

ISBN: (纸本)0769527027

Many previous works of data mining user queries in Peer-to-Peer systems focused their attention on the distribution of query contents. However, few has been done towards a better understanding of the time series distribution of these queries, which is vital for system performance. To remedy this situation, this paper mines query steams by using automatic time series analysis to evaluate different linear models(Box-Jenkins models and some simple windowed-mean models) for predicting the number of duplicated queries from 10 minutes to 2 hours into the future. Both the predictive power and the computational costs of these models are evaluated over 318,942,450 real world Gnutella queries collected over 3 months. We find the number of duplicated queries is consistently predictable. Simple, practical models like AR perform well on prediction. © 2006 IEEE.

关键词： Time series analysis

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Reflection on the popularity of MapReduce and observation of its position in a unified big data platform

Reflection on the popularity of MapReduce and observation of...

引用

14th International Conference on Web-Age Information Management, WAIM 2013

作者： Qin, Xiongpai Qin, Biao Du, Xiaoyong Wang, Shan MOE Key Lab. of Data Engineering and Knowledge Engineering Beijing 100872 China School of Information Renmin University of China Beijing 100872 China

ISBN: (纸本)9783642395260

In recent years MapReduce has risen to be the de-facto tool for big data processing. MapReduce is a disruptive innovation. It has changed the landscape of database market, the landscape of technologies, as well as the landscape of saying power. The article will give a reflection on the popularity of the technique and some observations of its position in a unified big data platform. © 2013 Springer-Verlag.

关键词： MapReduce

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Ontology hierarchies matching by lattices alignment

Ontology hierarchies matching by lattices alignment

引用

2nd International Workshop on Ontology Matching, OM-2007 - Collocated with the 6th International Semantic Web Conference, ISWC-2007 and the 2nd Asian Semantic Web Conference, ASWC-2007

作者： He, Hu Du, Xiaoyong School of Information Renmin University of China 100872 Beijing China Key Lab. of Data and Knowledge Engineering MOE 100872 Beijing China

Ontology matching determines the correspondences between concepts and relations of related ontologies. In this paper, we put forward an ontology hierarchies matching approach based on lattices alignment. The proposed lattice-based matching algorithm can be utilized not only in matching processes between two ontologies, but also in annotation processes between an ontology and its corresponding resources. Experiments on spatiotemporal ontology annotation have been carried out which shown the applicability of the approach.

关键词： Ontology

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Building bilingual ontology from WordNet and Chinese classified thesaurus

引用

2nd International Conference on knowledge Science, engineering and Management, KSEM 2007

作者： He, Hu Xiaoyong, Du School of Information Renmin University of China 100872 Beijing China Key Lab. of Data and Knowledge Engineering MOE 100872 Beijing China

ISBN: (纸本)9783540767183

Both WordNet and Chinese Classified Thesaurus(CCT) are widely used in information retrieval and management systems. In this paper we propose a novel approach for building bilingual ontologies based on these existing knowledge bases, WordNet and CCT. The bilingual ontology has the merit that contains both domain related and general purpose semantic information coverage from these two complementary knowledge sources. A lattice based similarity measure and assessment algorithm is used for aligning and merging these two knowledge bases. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Ontology

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XHATE-999: Analyzing and Detecting Abusive Language Across Domains and Languages 28

XHATE-999: Analyzing and Detecting Abusive Language Across D...

引用

28th International Conference on Computational Linguistics, COLING 2020

作者： Glavaš, Goran Karan, Mladen Vulić, Ivan Data and Web Science Group University of Mannheim Germany Text Analysis and Knowledge Engineering Lab. University of Zagreb Croatia Language Technology Lab. TAL University of Cambridge United Kingdom

ISBN: (纸本)9781952148279

We present XHATE-999, a multi-domain and multilingual evaluation data set for abusive language detection. By aligning test instances across six typologically diverse languages, XHATE-999 for the first time allows for disentanglement of the domain transfer and language transfer effects in abusive language detection. We conduct a series of domain- and language-transfer experiments with state-of-the-art monolingual and multilingual transformer models, setting strong baseline results and profiling XHATE-999 as a comprehensive evaluation resource for abusive language detection. Finally, we show that domain- and language-adaptation, via intermediate masked language modeling on abusive corpora in the target language, can lead to substantially improved abusive language detection in the target language in the zero-shot transfer setups. © 2020 COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. All rights reserved.

关键词： Modeling languages

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