Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries最新文献

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SNAC: The Social Networks and Archival Context project - Towards an archival authority cooperative SNAC:社会网络和档案背景项目-迈向档案权威合作
R. Larson, Daniel V. Pitti, Adrian Turner
{"title":"SNAC: The Social Networks and Archival Context project - Towards an archival authority cooperative","authors":"R. Larson, Daniel V. Pitti, Adrian Turner","doi":"10.1109/JCDL.2014.6970208","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970208","url":null,"abstract":"Social Networks and Archival Context (SNAC) is a multi-year research and demonstration project that aims to address the longstanding research challenge of discovering, locating, and using distributed historical resources. It also seeks to redefine traditional online access points for those resources, by exposing information about the people, families, and organizations who created them in addition to their socio-historical contexts. Finally, SNAC endeavors to set the stage for a cooperative program for maintaining names of creators of archival materials, via the Encoded Archival Context - Corporate Bodies, Persons, and Families (EAC-CPF) standard. This demonstration will show the prototype access and search systems for the second phase of SNAC, incorporating over 2 million records derived from Encoded Archival Descriptions (EAD), MARC Archival Records and EAC-CPF records from over 40 repositories and consortia including the Library of Congress, ArchivesHub, Archives nationales, the Bibliothèque nationale de France (BnF), and OCLC World-Cat.","PeriodicalId":92278,"journal":{"name":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","volume":"55 1","pages":"427-428"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83819371","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: 4
A comparative analysis of disciplinary data management workflows 学科数据管理工作流程的比较分析
S. Dallmeier-Tiessen, A. Lavasa, P. Herterich, L. Rueda, Rachael Kotarski, Elizabeth Newbold
{"title":"A comparative analysis of disciplinary data management workflows","authors":"S. Dallmeier-Tiessen, A. Lavasa, P. Herterich, L. Rueda, Rachael Kotarski, Elizabeth Newbold","doi":"10.1109/JCDL.2014.6970180","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970180","url":null,"abstract":"Datasets are now an integral part of scholarly communication. The result is that research data has now become a reality in library and information science, and its curation requires dedicated workflows. Here, we compare two disciplinary examples from High-Energy Physics and Humanities and Social Sciences, both referenced to the OAIS conceptual model. Even though we know that the research datasets and their metadata (preparation and curation) are very different in both disciplines, it can be seen that the conceptual workflow models are very similar, including the assignment of persistent identifiers (PIDs). The latter is particularly interesting when discussing the design and implementation of transdisciplinary services in library and information science.","PeriodicalId":92278,"journal":{"name":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","volume":"37 1","pages":"281-284"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80635679","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
An Open Cultural Digital Content Infrastructure 开放的文化数字内容基础设施
I. Stathopoulou, P. Stathopoulos, H. Georgiadis, Nikos Houssos, Vangelis Banos, E. Sachini
{"title":"An Open Cultural Digital Content Infrastructure","authors":"I. Stathopoulou, P. Stathopoulos, H. Georgiadis, Nikos Houssos, Vangelis Banos, E. Sachini","doi":"10.1109/JCDL.2014.6970181","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970181","url":null,"abstract":"We present an Open Cultural Digital Content Infrastructure, a platform providing a coherent suite of loosely-coupled services that aim to promote metadata quality in repositories and facilitate metadata data and digital content reuse. The key functions of the infrastructure are the aggregation of metadata and digital files and the automatic validation of metadata records and digital material for compliance with desired quality specifications. The system that has recently moved to production, is currently being employed to ensure the quality standards of the output of more than 70 projects that support Greek cultural heritage organisations and are funded by the European Union structural funds. These projects are expected to produce more than 1.5 million digitized and born-digital items accompanied with detailed metadata. The validation is based on a set of quality and interoperability specifications that have been developed for the purpose. The infrastructure has been developed using an open source technology stack and tools and in particular reuses a number of components of the publicly available Europeana aggregator and portal software platform.","PeriodicalId":92278,"journal":{"name":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","volume":"14 1","pages":"285-288"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77026488","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
Characterizing scholar popularity: A case study in the Computer Science research community 表征学者受欢迎程度:计算机科学研究界的个案研究
G. Gonçalves, F. Figueiredo, J. Almeida, Marcos André Gonçalves
{"title":"Characterizing scholar popularity: A case study in the Computer Science research community","authors":"G. Gonçalves, F. Figueiredo, J. Almeida, Marcos André Gonçalves","doi":"10.1109/JCDL.2014.6970151","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970151","url":null,"abstract":"A common live debate among scholars regards the popularity, productivity and impact of research. This paper aims to contribute to such discussion by quantifying the impact of various academic features on a scholar popularity throughout her career. Using a list of over 2 million publications in the Computer Science research area obtained from two large digital libraries, we analyze how features that capture the number and rate of publications, number and quality of publication venues, and the importance of the scholar in the co-authorship network relate to the scholar popularity. We also investigate the temporal dynamics of scholar popularity, identifying a few common profiles, and characterizing scholars in each profile according to their academic features.","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":"57-66"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77027847","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: 19
What triggers human remembering of events? A large-scale analysis of catalysts for collective memory in Wikipedia 是什么触发了人类对事件的记忆?维基百科中集体记忆催化剂的大规模分析
Nattiya Kanhabua, T. N. Nguyen, C. Niederée
{"title":"What triggers human remembering of events? A large-scale analysis of catalysts for collective memory in Wikipedia","authors":"Nattiya Kanhabua, T. N. Nguyen, C. Niederée","doi":"10.1109/JCDL.2014.6970189","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970189","url":null,"abstract":"Going beyond its role as an encyclopedia, Wikipedia becomes a global memory place for high-impact events, such as, natural disasters and manmade incidents, thus influencing collective memory, i.e., the way we remember the past. Due to the importance of collective memory for framing the assessment of new situations, our actions and value systems, its open construction and negotiation in Wikipedia is an important new cultural and societal phenomenon. The analysis of this phenomenon does not only promise new insights in collective memory. It is also an important foundation for technology, which more effectively complements the processes of human forgetting and remembering and better enables us to learn from the past. In this paper, we analyse the long-term dynamics of Wikipedia as a global memory place for high-impact events. This complements existing work in analysing the collective memory negotiation and construction process in Wikipedia directly following the event. In more detail, we are interested in catalysts for reviving memories, i.e., in the fuel that keeps memories of past events alive, interrupting the general trend for fast forgetting. For this purpose, we study the trigger of revisiting behavior for a large set of event pages by exploiting page views and time series analysis, as well as identify of most important catalyst features.","PeriodicalId":92278,"journal":{"name":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","volume":"524 1","pages":"341-350"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77684683","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: 37
Extraction and analysis of referenced web links in large-scale scholarly articles 大型学术文章中引用网络链接的提取与分析
Ke Zhou, R. Tobin, Claire Grover
{"title":"Extraction and analysis of referenced web links in large-scale scholarly articles","authors":"Ke Zhou, R. Tobin, Claire Grover","doi":"10.1109/JCDL.2014.6970220","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970220","url":null,"abstract":"In this paper we report on a sub-task undertaken as part of Hiberlink, a project which is examining the phenomenon of reference rot within scholarly works. In our sub-task we aim to quantify and understand the nature of occurrence of links to web resources referenced from papers in very large-scale scholarly collections. We first introduce the challenges involved in extracting links from scholarly articles and develop and evaluate the accuracy of a set of link extraction systems. Secondly, five collections containing millions of scholarly articles with different characteristics (across different disciplines, time periods and publication types) are studied and we demonstrate that web resources are widely cited in scholarly publications and should be an important concern for digital preservation.","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":"451-452"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88812683","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
Using ACM DL paper metadata as an auxiliary source for building educational collections 使用ACM DL纸张元数据作为建立教育馆藏的辅助来源
Yinlin Chen, E. Fox
{"title":"Using ACM DL paper metadata as an auxiliary source for building educational collections","authors":"Yinlin Chen, E. Fox","doi":"10.1109/JCDL.2014.6970159","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970159","url":null,"abstract":"Some digital libraries harvest metadata records from multiple content providers to build their collections. However, the quality and quantity of such metadata records are limited by what is harvested. To ensure collection growth, and to expand the scope beyond just what can be harvested, additional content acquisition methods are needed. Accordingly, we discuss how the Ensemble project (a pathway effort in the NSDL) is broadening its collection with the help of machine learning. Since Ensemble aims to aid computing education, we make use of ACM Digital Library records as a resource to help with transfer learning. We have built classifiers that can identify if a potential additional resource is about computing education. We approached this as a cross-domain text classification problem and developed suitable methods for feature extraction and bootstrapping for classifier training. Our experiments on three datasets of computing education metadata records show our approach can enhance the quality and quantity of records being added to Ensemble.","PeriodicalId":92278,"journal":{"name":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","volume":"8 1","pages":"137-140"},"PeriodicalIF":0.0,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88750317","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
The feasibility of investing in manual correction of metadata for a large-scale digital library 投资大规模数字图书馆元数据人工校正的可行性
Hung-Hsuan Chen, Madian Khabsa, C. Lee Giles
{"title":"The feasibility of investing in manual correction of metadata for a large-scale digital library","authors":"Hung-Hsuan Chen, Madian Khabsa, C. Lee Giles","doi":"10.1109/JCDL.2014.6970172","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970172","url":null,"abstract":"Given a large-scale digital library that automatically crawls and parses PDF files to generate metadata for documents and authors, we estimate the number of person-hours required to correct a small portion of the metadata, in the hope that a large portion of users can benefit from these corrections. We obtain users requests by analyzing Cite-SeerX's log files from September 2009 to March 2013. We found that the distribution of users requests for search is highly imbalanced: most document search queries and author search queries concentrate on a small set of terms. As a result, even for a large-scale digital library, we estimate it is affordable to invest a few person-hours to check the correctness of a few metadata, and thus provide benefits to a good portion of document search and author search requests.","PeriodicalId":92278,"journal":{"name":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","volume":"42 1","pages":"225-228"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82515938","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
Do altmetrics follow the crowd or does the crowd follow altmetrics? 是另类指标跟随大众还是大众跟随另类指标?
Hamed Alhoori, R. Furuta
{"title":"Do altmetrics follow the crowd or does the crowd follow altmetrics?","authors":"Hamed Alhoori, R. Furuta","doi":"10.1109/JCDL.2014.6970193","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970193","url":null,"abstract":"Changes are occurring in scholarly communication as scientific discourse and research activities spread across various social media platforms. In this paper, we study altmetrics on the article and journal levels, investigating whether the online attention received by research articles is related to scholarly impact or may be due to other factors. We define a new metric, Journal Social Impact (JSI), based on eleven data sources: CiteULike, Mendeley, F1000, blogs, Twitter, Facebook, mainstream news outlets, Google Plus, Pinterest, Reddit, and sites running Stack Exchange (Q&A). We compare JSI against diverse citation-based metrics, and find that JSI significantly correlates with a number of them. These findings indicate that online attention of scholarly articles is related to traditional journal rankings and favors journals with a longer history of scholarly impact. We also find that journal-level altmetrics have strong significant correlations among themselves, compared with the weak correlations among article-level altmetrics. Another finding is that Mendeley and Twitter have the highest usage and coverage of scholarly activities. Among individual altmetrics, we find that the readership of academic social networks have the highest correlations with citation-based metrics. Our findings deepen the overall understanding of altmetrics and can assist in validating them.","PeriodicalId":92278,"journal":{"name":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","volume":"307 1","pages":"375-378"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76336272","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: 29
Rexplore: Unveiling the dynamics of scholarly data 重新探索:揭示学术数据的动态
Francesco Osborne, E. Motta
{"title":"Rexplore: Unveiling the dynamics of scholarly data","authors":"Francesco Osborne, E. Motta","doi":"10.1109/JCDL.2014.6970202","DOIUrl":"https://doi.org/10.1109/JCDL.2014.6970202","url":null,"abstract":"Rexplore is a novel system that integrates semantic technologies, data mining techniques, and visual analytics to provide an innovative environment for making sense of scholarly data. Its functionalities include: i) a variety of views to make sense of important trends in research; ii) a novel semantic approach for characterising research topics; iii) a very fine-grained expert search with detailed multi-dimensional parameters; iv) an innovative graph view to relate a variety of academic entities; iv) the ability to detect and explore the main communities within a research topic; v) the ability to analyse research performance at different levels of abstraction, including individual researchers, organizations, countries, and research communities.","PeriodicalId":92278,"journal":{"name":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","volume":"19 1","pages":"415-416"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84336621","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: 10
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