2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)最新文献_第5页

Are Altmetrics Proxies or Complements to Citations for Assessing Impact in Computer Science? Altmetrics是评估计算机科学影响引用的代理还是补充?

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) Pub Date : 2021-09-01 DOI: 10.1109/JCDL52503.2021.00037

Yusra Shakeel, Rand Alchokr, J. Krüger, G. Saake, Thomas Leich

引用次数: 4

Recognize, Annotate, and Visualize Parallel Content Structures in XML Documents 识别、注释和可视化XML文档中的并行内容结构

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) Pub Date : 2021-09-01 DOI: 10.1109/JCDL52503.2021.00078

Marco Beck, M. Schubotz, V. Stange, Norman Meuschke, Bela Gipp

{"title":"Recognize, Annotate, and Visualize Parallel Content Structures in XML Documents","authors":"Marco Beck, M. Schubotz, V. Stange, Norman Meuschke, Bela Gipp","doi":"10.1109/JCDL52503.2021.00078","DOIUrl":"https://doi.org/10.1109/JCDL52503.2021.00078","url":null,"abstract":"We present a four-phase parallel approach for capturing, annotating, and visualizing parallel structures in XML documents. We designed a highlighting strategy that first decomposes XML documents in various data streams, including plain text, formulae, and images. Second, those streams are processed with external algorithms and tools optimized for specific tasks, such as analyzing similarities or differences or differences in the respective formats. Third, we compute comparison metadata such as annotations and highlighting marks. Fourth, the position information is concatenated based on the original XML's computed positions document. Eventually, the resulting comparison can then be visualized or processed further while keeping the reference to the source documents intact. While our algorithm has been developed for visualizing similarities as part of plagiarism detection tasks, we expect that many applications will benefit from a well-designed and integrative method that separates between addressing the match locations and inserting highlight marks. For example, our algorithm can also add comments in XML-unaware plaintext editors. We also treat the edge cases, overlaps as well as multi-match with our approach.","PeriodicalId":112400,"journal":{"name":"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130115677","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: 0

Pathways to Data: From Plans to Datasets 数据之路:从计划到数据集

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) Pub Date : 2021-09-01 DOI: 10.1109/JCDL52503.2021.00077

A. Bennett, W. Sutherland, Yubing Tian, Megan Finn, Amelia Acker

引用次数: 2

Automatic Recognition of Learning Resource Category in a Digital Library 数字图书馆中学习资源类别的自动识别

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) Pub Date : 2021-09-01 DOI: 10.1109/JCDL52503.2021.00039

S. Banerjee, Debarshi Kumar Sanyal, S. Chattopadhyay, Plaban Kumar Bhowmick, P. Das

引用次数: 0

Evaluating BERT's Encoding of Intrinsic Semantic Features of OCR'd Digital Library Collections 评价BERT对OCR数字图书馆馆藏内在语义特征的编码

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) Pub Date : 2021-09-01 DOI: 10.1109/JCDL52503.2021.00045

Ming Jiang, Yuerong Hu, Glen Worthey, Ryan Dubnicek, T. Underwood, J. S. Downie

{"title":"Evaluating BERT's Encoding of Intrinsic Semantic Features of OCR'd Digital Library Collections","authors":"Ming Jiang, Yuerong Hu, Glen Worthey, Ryan Dubnicek, T. Underwood, J. S. Downie","doi":"10.1109/JCDL52503.2021.00045","DOIUrl":"https://doi.org/10.1109/JCDL52503.2021.00045","url":null,"abstract":"The uncertainty caused by optical character recognition (OCR) noise has been a primary barrier for digital libraries (DL) to promote their curated datasets for research purposes, particularly when the datasets are fed into advanced language models with less transparency. To shed some light on this issue, this study evaluates the impacts of OCR noise on BERT models for encoding the intrinsic semantic features of OCR'd texts. Specifically, we encoded chapterwise paired OCR'd texts and their cleaned counterparts extracted from books in six domains using BERT pre-trained and fine-tune models respectively. Given the encoded text features, we further calculated the cosine similarity between any two chapters and used normalized discounted cumulative gain (NDCG) [1] to measure BERT variants' capabilities to preserve narrative coherence and semantic relevance among texts. Our empirical results show that (1) BERT embeddings can encode and preserve texts' intrinsic semantic features (i.e., relevance and coherence); and (2) such capabilities are comparatively robust against OCR noise. This should help alleviate some DL users' concerns regarding applying contextualized word embeddings to encode chapter-level or even document-level OCR'd text information, which benefits promoting scholarly use of DL collections. Our research also demonstrates how texts' intrinsic semantic features can be used for evaluating the impacts of OCR noise on advanced language models, which is an underdeveloped and promising direction for future work.","PeriodicalId":112400,"journal":{"name":"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124542539","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: 2

Workshop on the Future of Digital Libraries 数字图书馆的未来研讨会

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) Pub Date : 2021-09-01 DOI: 10.1109/JCDL52503.2021.00083

G. Buchanan, Dana Mckay, D. Bainbridge

引用次数: 0

Sharing the Past: the Library as Digital Co-Design Space for Intergenerational Heritage Preservation 共享过去:图书馆作为代际遗产保护的数字协同设计空间

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) Pub Date : 2021-09-01 DOI: 10.1109/JCDL52503.2021.00051

Peter J. Cobb, Esther M. W. Woo, Nicol F. C. Pan, V. Lou, Xiao Hu, Michael Cheng, Jesse Xiao

{"title":"Sharing the Past: the Library as Digital Co-Design Space for Intergenerational Heritage Preservation","authors":"Peter J. Cobb, Esther M. W. Woo, Nicol F. C. Pan, V. Lou, Xiao Hu, Michael Cheng, Jesse Xiao","doi":"10.1109/JCDL52503.2021.00051","DOIUrl":"https://doi.org/10.1109/JCDL52503.2021.00051","url":null,"abstract":"This poster presents the “Intergenerational Participatory Co-design Project,” an interdisciplinary initiative at the University of Hong Kong for facilitating collaboration among different age groups to design digital historic preservation. This project reimagines the global challenge of aging as an opportunity to enhance cultural heritage when older and younger members of society share their unique knowledge and perspectives. Over the course of the 2019–2020 academic year, four mixed-age groups co-designed a variety of innovative digital products to support the preservation and appreciation of Hong Kong's historic culture. The guiding principle of the project was to engage the participants as co-creators of both their own learning outcomes and learning processes. The participants also had opportunities to develop skills with new technologies for documenting, preserving, and presenting cultural heritage. The University of Hong Kong Libraries served as the central space (both physically and virtually) for facilitating these activities, in partnership with the University's Sau Po Centre on Ageing, the Common Core program, and the Faculty of Education. This project can serve as a model for how libraries can support local communities to digitally embrace an aging society for enhancing cultural heritage.","PeriodicalId":112400,"journal":{"name":"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131665288","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: 2

Digital Infrastructures for Scholarly Content Objects 学术内容对象的数字基础设施

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) Pub Date : 2021-09-01 DOI: 10.1109/JCDL52503.2021.00069

Jodi Schneider, A. Waard, Wolf-Tilo Balke, Xiaoguang Wang, Ningyuan Song, Bolin Hua, Yuanxi Fu

{"title":"Digital Infrastructures for Scholarly Content Objects","authors":"Jodi Schneider, A. Waard, Wolf-Tilo Balke, Xiaoguang Wang, Ningyuan Song, Bolin Hua, Yuanxi Fu","doi":"10.1109/JCDL52503.2021.00069","DOIUrl":"https://doi.org/10.1109/JCDL52503.2021.00069","url":null,"abstract":"As digital libraries make the dissemination of research publications easier, they also enable the propagation of invalid or unreliable knowledge. Examples of relevant problems include: retraction and inadvertent citation and reuse of retracted papers [1], [2]; propagation of errors in literature and scientific databases [3], [4]; non-reproducible papers; known domain-specific issues such as cell line contamination [5]; bias in research datasets and publications [6]–[8]; systematic reviews that arrive at different conclusions about the same question at the same time [9], [10]. The digital environment facilitates broad interdisciplinary reuse beyond the originating scientific community; thus, marking known problems and tracing the impact on dependent and follow-on works is particularly important (but still under-addressed). Further, context-specific information inside a paper may not be immediately reusable when extracted by automated processes, leading to apparent contradictions [11]. Current mitigating approaches use the underlying reasoning for information retrieval [12], [13], develop new infrastructures analyzing the reasoning [14]–[16] or certainty [17] of statements, or use visualization to highlight possible discrepancies [10], [15].","PeriodicalId":112400,"journal":{"name":"2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115748439","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: 1

Extending Chromium: Memento-Aware Browser 扩展铬:纪念品意识浏览器

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) Pub Date : 2021-09-01 DOI: 10.1109/JCDL52503.2021.00046

Abigail Mabe, Michael L. Nelson, Michele C. Weigle

引用次数: 0

Cell Block HTML: Towards Spreadsheet-based Text-Mining for the Masses 单元格块HTML:面向大众的基于电子表格的文本挖掘

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) Pub Date : 2021-09-01 DOI: 10.1109/JCDL52503.2021.00041

B. Wheeler, D. Bainbridge

引用次数: 0