| 书目名称 | Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation | | 副标题 | 13th International C | | 编辑 | Chunxiao Xing,Fabio Crestani,Andreas Rauber | | 视频video | | | 概述 | Up-to-date results.Fast-track conference proceedings.State-of-the-art research | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | This book constitutes the refereed proceedings of the 13th International Conference on Asia-Pacific Digital Libraries, ICADL 2011, held in Beijing, China, in October 2011. The 33 revised full papers, 8 short papers and 9 poster papers presented were carefully reviewed and selected from 136 submissions. The topics covered are digital archives and preservation; information mining and extraction; medata, catalogue; distributed repositories and cloud computing; social network and personalized service; mobile services and electronic publishing; multimedia digital libraries; information retrieval; and tools and systems for digital library. | | 出版日期 | Conference proceedings 2011 | | 关键词 | Web database; e-books; multilingual support; quality assurance; question answering | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-24826-9 | | isbn_softcover | 978-3-642-24825-2 | | isbn_ebook | 978-3-642-24826-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag GmbH Berlin Heidelberg 2011 |
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Front Matter |
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Abstract
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Drowning in the Data Deluge: Digital Library Challenges for Asia |
Christine L. Borgman |
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Abstract
Scholarly communication no longer consists merely of papers and publications. Research data have become valuable objects to be captured, documented, and shared. Funding agencies are requiring “data management plans” for all new proposals. Libraries, universities, and research institutes are assessing how to manage those data in ways that can be leveraged for future value. But what are “data”? We are drowning in them without being able to define what they are. This talk will explore the shifting landscape of scholarly information, with special attention to how these shifts may influence digital libraries in Asia. Research is disseminated by many formal and informal means, not only by libraries and publishers but also by new media such as preprint repositories and tweets. Access may be faster – if one can separate signal from noise amidst the plethora of communication channels. These changes are the result of the transition from a closed scholarly world to the open Web, the shift in content and context of networked information, the shift in focus from information services for readers to those for authors, and differences between publications and data. If future scholars are to use th
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Building a Social Media Digital Library: Collection, Management, and Analytics |
Hsinchun Chen |
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Abstract
In this talk I will present the University of Arizona Artificial Intelligence Lab’s recent research in Dark Web, Geopolitical Web, and Business Analytics. Based on funding from the NSF and several other US agencies, the AI Lab has developed techniques for collecting, managing and analyzing large-scale multilingual and multimedia social media contents of relevance to social, geopolitical, and business applications. Our projects aim to study and understand critical social and business phenomena in the cyber world and real world via a computational, data-centric approach. We aim to collect critical social media content generated by various political and business groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual worlds, etc. A social media digital library and portal system has been developed to manage and access these critical multilingual and multimedia contents. We have also developed advanced multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. Selected cas
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Developing MetaKnowledge Services: The Next Paradigm for Digital Libraries |
Xiaolin Zhang |
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Abstract
Science is matching toward a new paradigm of data-intensive knowledge discovery enabled by massive availability of digital data at a time of grand challenges of global scale, interdisciplinary nature, and translational complexity. This combination of events gives rise to great opportunities of meta-knowledge services where the relations, patterns, emerging trends, hidden possibilities, ignored abnormalities, etc., can be revealed and tested..Several approaches of meta-knowledge services are here today or in near-future. Intelligent monitoring and visualizing of research fields and emerging topics help researchers keep track of development; Literature and patent analysis reveals complicated patterns of research and its competition or cooperation; Output, impact, and portfolio analysis supports official evaluation of research organizations, groups, and individuals; Path exploration and road-mapping are interactively used to build and test research plans; Meta-reading of large amount of data provides students with effective ways to structure knowledge and identify key points..National Science Library, CAS, as its innovation and future-enabling strategy, has been developing a meta-know
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Mobile Information Management and Retrieval |
Edward Y. Chang |
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Abstract
The number of “smart” mobile devices such as wireless phones and tablet computers has been rapidly growing. These mobile devices are equipped with a variety of sensors such as camera, gyroscope, accelerometer, compass, NFC, WiFi, GPS, etc. These sensors can be used to capture images and voice, detect motion patterns, and predict locations, to name just a few. This keynote depicts techniques in configuration, calibration, computation, and fusion for improving sensor performance and conserving power consumption. Novel information management and retrieval applications that can benefit a great deal from enhanced sensor technologies are also presented..Furthermore, the Mobile 2014 research program coordinated by Google Research in China has been funding research projects related to mobile location based service since 2010. This program has granted several research awards to universities in the US and Asia to conduct work in sensor signal fusion, location- based data service, peer-to-peer protocols, privacy-preserved data mining, and applications assisted by inertial navigation systems. Highlights of this program are enumerated to motivate research into advancing mobile information manag
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High Speed Capture, Retrieval and Rendering of Segment-Based Annotations on 3D Museum Objects |
Chih-Hao Yu,Tudor Groza,Jane Hunter |
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Abstract
The aim of the 3D Semantic Annotation (3DSA) system is to deliver a Web-based semantic tagging and annotation service for 3D cultural heritage objects - that enables users to attach semantic tags/annotations to points, surface regions and volumetric segments on 3D digital objects. Specific objectives of the 3DSA system are: support for interactively defined, complex 3D segments; interoperability of the resulting tags/annotations; and fast, efficient capture, retrieval and rendering of annotations on complex 3D fragments. With these objectives in mind, the 3DSA system is based on the Open Annotations Collaboration (OAC) model, which has been extended using X3D fragment identifiers. This paper describes our implementation of the X3D extensions to the OAC data model and demonstrates how this approach significantly improves the speed of capturing, retrieving, downloading and rendering annotations on volumetric segments. The context for this work is the capture of community-generated tags and annotations for cultural heritage artifacts from the University of Queensland Antiquities Museum.
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Digitization and Value-Add Application of Bamboo Weaving Artifacts |
Kuo-An Wang,Ya-Chin Liao,Wei-Wei Chu,John Yi-Wu Chiang,Yung-Fu Chen,Po-Chou Chan |
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Abstract
Chinese people used bamboo to make bamboo weaving utensils for hunting, farming, fishing, and even transportation before. However, bamboo weaving utensils are no longer needed in daily life nowadays. The craft of bamboo weaving utensils is gradually losing people’s attention that few craftsmen can still work on it. In this study, a folklore hobbyist, a craftsman, a horticulturist, and an interior decorator were invited to digitize bamboo weaving artifacts and crafts, as well as to develop value-add applications of the artifacts. Among the 1200 collected bamboo weaving artifacts, 150 artifacts accompanied with 20 weaving patterns have been digitized and stored with image and video formats, respectively. The value-add refers to the adoption of the bamboo weaving artifacts as flower vases for orchid planting and flower arranging with artworks designed by the horticulturist, which were then adopted by the interior decorator to decorate restaurants to elevate the environmental quality. The digitized contents were also used as part of the e-learning materials in a community college. The questionnaire surveys show that the digitized material is useful for learning bamboo weaving craft and
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Digital Archive “Dao Fa Hui Yuan” for Daoism Research |
XiaoXiao Feng,Koichi Matsumoto,Shigeo Sugimoto |
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Abstract
Dao Fa Hui Yuan, is an important resource for the study of Daoism. It is a compilation of a number of . used in Daoism. A . is expressed as a complex graphical symbol composed of one or more constituent parts. This paper presents the Dao Fa Hui Yuan digital archive named Digital DFHY which is designed to help researchers explore relationships among sacred symbols of yet unknown meaning and associated natural language text. Some of the descriptions of . in DFHY include only the name and the graphic expression of a ., and others include descriptions of the constituent parts of a . in addition to its name and graphic expression. This paper describes the Digital DFHY, and how it can be used with a network analysis tool to identify relationships among the . and their constituent parts.
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Libraries in a Digital Frontier: Preserving Chinese Canadian Cultural Heritage |
Allan Cho,Yu Li |
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Abstract
As a three-year community-based research project at the University of British Columbia, .is government grant-funded project by the Community Historical Recognition Program (CHRP) that brings together the expertise and resources of a wide range of UBC Library units and off-campus partners: from the digitization of archival material of UBC Library’s Rare Books & Special Collections; to the digital storage infrastructure of UBC’s Digital Initiatives; to the community outreach and digital technology of the Irving K. Barber Learning Centre; to the Chinese language online resources and community historical preservation expertise of the Asian Library. Through partnerships with community and civic institutions nationwide, this UBC-library led project focuses on three initiatives: a one-stop web portal, a series of community workshops, and digital interactive cultural game using cutting edge technologies. This paper is a progress report of the project.
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Automated Preservation: The Case of Digital Raw Photographs |
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Abstract
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Image Tagging by Exploiting Feature Correlation |
Xiaoming Zhang,Zhoujun Li |
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Abstract
Image tagging is a task that automatically assigns the query image with semantic keywords called tags. Since tags and image visual content are represented in different feature space, how to merge the multiple features by their correlation to tag the query image is an important problem. However, most of existing approaches merge the features by using a relatively simple mechanism rather than fully exploiting the correlations between different features. In this paper, we propose a new approach to fusing different features and their correlation simultaneously for image tagging. Specifically, we employ a Feature Correlation Graph to capture the correlations between different features in an integrated manner, which take features as nodes and their correlations as edges. Then, a revised probabilistic model based on Markov Random Field is used to describe the graph for evaluating tag’s relevance to query image. Experiments on large real-life corpuses collected from Flickr indicate the superiority of our proposed approach.
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Semi-supervised Bibliographic Element Segmentation with Latent Permutations |
Tomonari Masada,Atsuhiro Takasu,Yuichiro Shibata,Kiyoshi Oguri |
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Abstract
This paper proposes a semi-supervised bibliographic element segmentation. Our input data is a large scale set of bibliographic references each given as an unsegmented sequence of word tokens. Our problem is to segment each reference into bibliographic elements, e.g. authors, title, journal, pages, etc. We solve this problem with an LDA-like topic model by assigning each word token to a topic so that the word tokens assigned to the same topic refer to the same bibliographic element. Topic assignments should satisfy contiguity constraint, i.e., the constraint that the word tokens assigned to the same topic should be contiguous. Therefore, we proposed a topic model in our preceding work [8] based on the topic model devised by Chen et al. [3]. Our model extends LDA and realizes unsupervised topic assignments satisfying contiguity constraint. The main contribution of this paper is the proposal of a . learning for our proposed model. We assume that at most one third of word tokens are already labeled. In addition, we assume that a few percent of the labels may be incorrect. The experiment showed that our semi-supervised learning improved the unsupervised learning by a large margin and ac
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A Discretization Algorithm of Numerical Attributes for Digital Library Evaluation Based on Data Mini |
Yumin Zhao,Zhendong Niu,Xueping Peng,Lin Dai |
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Abstract
We present here a discretization algorithm for numerical attributes of digital collections. In our research data mining technology is imported into digital library evaluation to provide a better decision-making support. But data prediction algorithms work not well based on the traditional discretization method during the data mining process. The reason is that numerical attributes of digital collections are complicated and not in the same scale of distribution distance. We study the characteristic of numerical attributes and put forward a discretization method based on the Z-score idea of mathematical statistics. This algorithm can reflect the dynamic semantic distance for different numerical attributes and significantly enhance the precision rate and recall rate of data prediction algorithms. Furthermore a ‘nonlinear conditional relationship’ among attributes of digital collections is discovered during the study of discretization algorithm and impacts the actual application result of traditional data mining algorithms.
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Sentence-Level Sentiment Polarity Classification Using a Linguistic Approach |
Luke Kien-Weng Tan,Jin-Cheon Na,Yin-Leng Theng,Kuiyu Chang |
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Abstract
Recent sentiment analysis research has focused on the functional relations of words using typed dependency parsing as this provides a refined analysis on the grammar and semantics of the textual data, which could improve performance. However, typed dependencies only provide the grammatical relationships between individual words while there exist more complex relationships between words that could influence a sentence sentiment polarity. In this paper, we propose a linguistic approach, called Polarity Prediction Model (PPM), that combines typed dependencies and subjective phrase analysis to detect sentence-level sentiment polarity. Our approach also considers the intensity of words and domain terms that could influence the sentiment polarity output. PPM is shown to provide a fine-grained analysis for handling and explaining the complex relationships between words in detecting a sentence sentiment polarity. PPM was found to consistently outperform a baseline model by 5% in terms of overall F1-score, and exceeding 10% in terms of positive F1-score when compared to a Typed-dependency only approach.
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A System for Using National Bibliographies in Rights Information Infrastructures |
Nuno Freire,Andreas Juffinger |
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Abstract
In the process of digitising a book, a library needs to clear the rights associated with it. Rights clearance is largely a manual, time-consuming process which possibly costs more than the actual digitisation. To analyse the rights situation, a range of information is required, which is distributed across several national databases hosted in national libraries, publishers and collective rights organisations. National bibliographies are a key data source in these processes, as they are the only source to identify all the publications of a specific intellectual work in a country. However, national bibliographies are not designed and built to support rights clearance purposes. The information in bibliographic records results from cataloguing with users and library management in mind, and links between different publications of a single intellectual work are not available. This paper presents a system implemented in The European Library to integrate national bibliographies into the ARROW (Accessible Registries of Rights Information and Orphan Works) rights information infrastructure. The system makes it possible to identify all different publications with a common underlying intellectu
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Exploiting Attribute Redundancy for Web Entity Data Extraction |
Yanxu Zhu,Gang Yin,Xiang Li,Huaimin Wang,Dianxi Shi,Lin Yuan |
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Abstract
Web entities are often associated with many attributes that describe them. It is essential to extract these attributes for Web entity data extraction. This paper proposes a novel approach using duplicated attribute value pairs. We start by constructing a initial seed set of attributes including names and enumerable values, and a training set of Web pages from target website; After that we locate the position of each attribute by matching attribute values within the pages of the site with values contained in the seed set; Thirdly we choose the position with the highest supportiveness as path for extraction, which we use to extract other attribute value pairs with the same template. Finally, we conduct an extensive experimental study with large real data set to demonstrate the effectiveness of our extraction approach.
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Understanding Playability and Motivational Needs in Human Computation Games |
Dion Hoe-Lian Goh,Chei Sian Lee |
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Abstract
Human computation games (HCGs) refer to applications that use games to harness human intelligence to perform various computational tasks. We examine how different types of HCGs affect players’ perceptions and their motivational appeal, as these influence good HCG design. We focus on image tagging HCGs, where users play games to generate keywords for images. Three versions were created: collaborative HCG which required players to cooperate, competitive HCG where players worked against each other, and a control non-game manual tagging application. The applications were evaluated to uncover participants’ playability perceptions, and the influence of motivational needs on usage intention. Results suggest that participants reported liking the collaborative and competitive HCGs over the control application. Further, using the trichotomy of needs theory, we found that an individual’s need for achievement and power influenced intention to use the various applications.
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A Metadata Framework for Cloud-Based Digital Archives Using METS with PREMIS |
Jan Askhoj,Shigeo Sugimoto,Mitsuharu Nagamori |
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Abstract
An increasing number of organizations are using cloud computing to create and store digital records. To ensure safe storage and long-term preservation, standards for metadata are needed. This paper proposes a metadata application profile for cloud archives..We use guidelines from the Singapore Framework for Dublin Core Application Profiles to define the functional requirements, domain model and description set profile that form the basis of the proposed application profile. In our profile, we use METS as a transmission and package format, extending it with metadata from the PREMIS data dictionary and Dublin Core Metadata Element Set..Using the proposed application profile, we create an example METS information package using predefined criteria. We find that the profile meets the functional requirements, and that it simplifies metadata provision for business systems, compared to systems that do not allow pre-registration.
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Coding FRBR-Structured Bibliographic Information in MARC |
Trond Aalberg,Tanja Merčun,Maja Žumer |
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Abstract
The lack of support for the FRBR model in current bibliographic standards has been a major bottleneck for the implementation and use of this model in library databases. In this paper we present solutions for coding FRBR structures using MARC and show that it is possible to code even more complex FRBR structures within the current format. This solution promises a migration path for library systems without losing the compatibility with existing standards.
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Metrics for Metadata Quality Assurance and Their Implications for Digital Libraries |
Ya-Ning Chen,Chun-Ya Wen,Hui-Pin Chen,Yen-Hung Lin,Hon-Chung Sum |
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Abstract
This study aims at developing a set of common metrics for metadata quality at data element level. The proposed metrics are used to assure the quality for metadata that converted from heterogeneous metadata formats and sources into a Dublin Core based centralized digital repository. This study adopted the metrics provided by Bruce and Hillmann [2] as a basis to develop the proposed metrics as follows: conformance to expectations, provenance, accuracy, completeness and accessibility. A hybrid approach of automatic and manual had developed for assessing metadata quality in practice. Target subjects were two individual projects selected from the Taiwan E-Learning and Digital Archives Program as use case to illustrate the details and examine the feasibility of the proposed metrics. Finally, this study discussed the implications of proposed metadata quality metrics for digital libraries in the following perspectives: project management, metadata management, hidden quality problems and accessibility.
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书目名称Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation影响因子(影响力)
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发表于 2025-3-21 17:14:03
