Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries最新文献_第9页

CED2AR: The Comprehensive Extensible Data Documentation and Access Repository CED2AR:综合可扩展数据文档和访问库

Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries Pub Date : 2014-09-08 DOI: 10.1109/JCDL.2014.6970178

C. Lagoze, L. Vilhuber, Jeremy Williams, B. Perry, William C. Block

引用次数: 2

Fast Image-based Chinese Calligraphic Character Retrieval on Large Scale Data 基于图像的大规模汉字快速检索

Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries Pub Date : 2014-09-08 DOI: 10.1109/JCDL.2014.6970170

Gao Pengcheng, Wu Jiangqin, Lin Yuan, Xia Yang, Mao Tianjiao, Wei Baogang

{"title":"Fast Image-based Chinese Calligraphic Character Retrieval on Large Scale Data","authors":"Gao Pengcheng, Wu Jiangqin, Lin Yuan, Xia Yang, Mao Tianjiao, Wei Baogang","doi":"10.1109/JCDL.2014.6970170","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970170","url":null,"abstract":"Chinese calligraphy is the art of handwriting, it draws a lot of attention for its beauty and elegance. In CADAL, a Calligraphic Character Dictionary (CCD) which contains hundreds of thousands of character images labeled with semantic meaning has been constructed and provided online to common users. It is a great challenge to perform quick and accurate image-based calligraphic character retrieval on CCD. In this paper, a novel shape descriptor, Oriented Shape Context (OSC) is proposed basing on the tranditional Shape Context (SC) to perform similarity searching. Together with GIST, GIST-OSC descriptor is proposed to represent calligraphic character image for efficient and effective retrieval. In addition, an effective retrieval schema is proposed. The retrieval schema works in two steps. Firstly approximate nearest neighbors of the query image are found quickly using GIST and then one-to-one fine matching between approximate nearest neighbors and the query image is performed using OSC. Our experiments show that the GIST-OSC descriptor and the retrieval schema are efficient and effective for Chinese calligraphic character retrieval on large scale data.","PeriodicalId":92278,"journal":{"name":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","volume":"12 1","pages":"211-220"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90786257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Making research data findable in digital libraries: A layered model for user-oriented indexing of survey data 使研究数据在数字图书馆中可查找:面向用户的调查数据索引的分层模型

Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries Pub Date : 2014-09-08 DOI: 10.1109/JCDL.2014.6970150

Tanja Friedrich, A. Kempf

引用次数: 6

Quality assessment of collaborative content with minimal information 用最少的信息对协作内容进行质量评估

Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries Pub Date : 2014-09-08 DOI: 10.1109/JCDL.2014.6970169

D. H. Dalip, Harlley Lima, Marcos André Gonçalves, Marco Cristo, P. Calado

引用次数: 27

Recommendation based on Deduced Social Networks in an educational digital library 基于演绎社会网络的教育数字图书馆推荐

Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries Pub Date : 2014-09-08 DOI: 10.1109/JCDL.2014.6970147

Monika Akbar, C. Shaffer, Weiguo Fan, E. Fox

{"title":"Recommendation based on Deduced Social Networks in an educational digital library","authors":"Monika Akbar, C. Shaffer, Weiguo Fan, E. Fox","doi":"10.1109/JCDL.2014.6970147","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970147","url":null,"abstract":"Discovering useful resources can be difficult in digital libraries with large content collections. Many educational digital libraries (edu-DLs) host thousands of resources. One approach to avoiding information overload involves modeling user behavior. But this often depends on user feedback, along with the demographic information found in user account profiles, in order to model and predict user interests. However, edu-DLs often host collections with open public access, allowing users to navigate through the system without needing to provide identification. With few identifiable users, building models linked to user accounts provides insufficient data to recommend useful resources. Analyzing user activity on a per-session basis, to deduce a latent user network, can take place even without user profiles or prior use history. The resulting Deduced Social Network (DSN) can be used to improve DL services. An example of a DSN is a graph whose nodes are sessions and whose edges connect two sessions that view the same resource. In this paper we present a recommendation framework for edu-DLs that depends on deduced connections between users. Results show that a recommendation system built from DSN-dependent parameters can improve performance compared to when only text similarity between resources is used. Our approach can potentially improve recommendation for DL resources when implicit user activities (e.g., view, click, search) are abundant but explicit user activities (e.g., account creation, rating, comment) are unavailable.","PeriodicalId":92278,"journal":{"name":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","volume":"132 1","pages":"29-38"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77409770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Creating lightweight ontologies for dataset description practical applications in a cross-domain research data management workflow 为跨领域研究数据管理工作流中的数据集描述实际应用创建轻量级本体

Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries Pub Date : 2014-09-08 DOI: 10.1109/JCDL.2014.6970185

João Aguiar Castro, J. Silva, Cristina Ribeiro

引用次数: 15

Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries Pub Date : 2014-09-08 DOI: 10.1109/JCDL.2014.6970209

Sukjin You, Joel DesArmo, Xiangming Mu, Sukwon Lee, Jessica C. Neal

引用次数: 1

PerCon: A personal digital library for heterogeneous data 一个用于异构数据的个人数字图书馆

Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries Pub Date : 2014-09-08 DOI: 10.1109/JCDL.2014.6970155

Su Inn Park, F. Shipman

{"title":"PerCon: A personal digital library for heterogeneous data","authors":"Su Inn Park, F. Shipman","doi":"10.1109/JCDL.2014.6970155","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970155","url":null,"abstract":"Systems are needed to support access to and analysis of large heterogeneous scientific datasets. We developed PerCon, a data management and analysis environment, to support such activities. PerCon processes and integrates data gathered via queries to existing data providers to create a personal digital library of data. Users may then search, browse, visualize and annotate the data as they proceed with analysis and interpretation. Interpretation in PerCon takes place in a visual workspace in which multiple data visualizations and annotations are placed into spatial arrangements based on the current task. The system watches for patterns in the user's data selection and organization and through mixed-initiative interaction assists users by suggesting potentially relevant data from unexplored data sources. PerCon's data location and analysis capabilities were evaluated in a controlled study with 24 users. Study participants had to locate and analyze heterogeneous weather and river data with and without the visual workspace and mixed-initiative interaction, respectively. Results indicate that the visual workspace facilitated information representation and aided in the identification of relationships between datasets. The system's suggestions encouraged data exploration, leading participants to identify more evidence of correlation among data streams and more potential interactions among weather and river data.","PeriodicalId":92278,"journal":{"name":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","volume":"5 1","pages":"97-106"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89253951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Extraction of evolution descriptions from the web 从网络中提取进化描述

Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries Pub Date : 2014-09-08 DOI: 10.1109/JCDL.2014.6970201

Helge Holzmann, T. Risse

引用次数: 2

Mood metadata for video games and interactive media 视频游戏和互动媒体的情绪元数据

Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries Pub Date : 2014-09-08 DOI: 10.1109/JCDL.2014.6970232

Stephanie Rossi, Jin Ha Lee, R. Clarke

引用次数: 5