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2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)最新文献

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Joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL 2016) 数字图书馆文献计量学增强信息检索和自然语言处理联合研讨会(BIRNDL 2016)
2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) Pub Date : 2017-06-08 DOI: 10.1145/3077136.3084370
Muthu Kumar Chandrasekaran, Kokil Jaidka, Philipp Mayr
{"title":"Joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL 2016)","authors":"Muthu Kumar Chandrasekaran, Kokil Jaidka, Philipp Mayr","doi":"10.1145/3077136.3084370","DOIUrl":"https://doi.org/10.1145/3077136.3084370","url":null,"abstract":"The large scale of scholarly publications poses a challenge for scholars in information-seeking and sensemaking. Bibliometric, information retrieval (IR), text mining and NLP techniques could help in these activities, but are not yet widely used in digital libraries. This workshop is intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric and recommendation techniques which can advance the state-of-the-art in scholarly document understanding, analysis and retrieval at scale.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125482070","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
Desiderata for exploratory search interfaces to Web archives in support of scholarly activities 需要为支持学术活动的Web档案提供探索性搜索接口
2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) Pub Date : 2016-06-19 DOI: 10.1145/2910896.2910912
Andrew N. Jackson, Jimmy J. Lin, Ian Milligan, Nick Ruest
{"title":"Desiderata for exploratory search interfaces to Web archives in support of scholarly activities","authors":"Andrew N. Jackson, Jimmy J. Lin, Ian Milligan, Nick Ruest","doi":"10.1145/2910896.2910912","DOIUrl":"https://doi.org/10.1145/2910896.2910912","url":null,"abstract":"Web archiving initiatives around the world capture ephemeral web content to preserve our collective digital memory. In this paper, we describe initial experiences in providing an exploratory search interface to web archives for humanities scholars and social scientists. We describe our initial implementation and discuss our findings in terms of desiderata for such a system. It is clear that the standard organization of a search engine results page (SERP), consisting of an ordered list of hits, is inadequate to support the needs of scholars. Shneiderman's mantra for visual information seeking (“overview first, zoom and filter, then details-on-demand”) provides a nice organizing principle for interface design, to which we propose an addendum: “Make everything transparent”. We elaborate on this by highlighting the importance of the temporal dimension of web pages as well as issues surrounding metadata and veracity.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115424240","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
Open datasets for evaluating the interpretation of bibliographic records 用于评估书目记录解释的开放数据集
2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) Pub Date : 2016-06-19 DOI: 10.1145/2910896.2925457
Joffrey Decourselle, F. Duchateau, Trond Aalberg, Naimdjon Takhirov, Nicolas Lumineau
{"title":"Open datasets for evaluating the interpretation of bibliographic records","authors":"Joffrey Decourselle, F. Duchateau, Trond Aalberg, Naimdjon Takhirov, Nicolas Lumineau","doi":"10.1145/2910896.2925457","DOIUrl":"https://doi.org/10.1145/2910896.2925457","url":null,"abstract":"The transformation of legacy MARC catalogs to FRBR catalogs (FRBRization) is a complex and important challenge for libraries. Although many FRBRization tools have provided experimental validation, it is difficult to evaluate and compare these systems on a fair basis due to a lack of common datasets. This poster presents two public datasets (T42 and BIB-RCAT) intended to support the validation of the FRBRization process.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125965272","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
BIBSURF — Discover bibliographic entities by searching for units of interest, ranking and filtering BIBSURF -发现书目实体通过搜索感兴趣的单位，排名和过滤
2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) Pub Date : 2016-06-19 DOI: 10.1145/2910896.2925434
Trond Aalberg, Tanja Mercun, M. Zumer
{"title":"BIBSURF — Discover bibliographic entities by searching for units of interest, ranking and filtering","authors":"Trond Aalberg, Tanja Mercun, M. Zumer","doi":"10.1145/2910896.2925434","DOIUrl":"https://doi.org/10.1145/2910896.2925434","url":null,"abstract":"BIBSURF is a system demonstrating search, ranking and filtering of bibliographic RDF data that is organized in form of entities representing intellectual endeavor at different levels of abstraction: item, manifestation, expression, work.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128967511","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
Visualizing published metadata in large aggregations 可视化大型聚合中发布的元数据
2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) Pub Date : 2016-06-19 DOI: 10.1145/2910896.2925451
Unmil Karadkar, Geoffrey A. Potter, Shengwei Wang
{"title":"Visualizing published metadata in large aggregations","authors":"Unmil Karadkar, Geoffrey A. Potter, Shengwei Wang","doi":"10.1145/2910896.2925451","DOIUrl":"https://doi.org/10.1145/2910896.2925451","url":null,"abstract":"Large metadata aggregations provide access to documents held by multiple cultural heritage (CH) institutions. As CH institutions encode their metadata using different schemas and follow different data standards, aggregators must process the received data before making it available through a unified portal. Staff members at the contributing CH institutions don't receive feedback regarding the quality of the provided or the processed data. We are developing mechanisms that enable staff at the CH institutions to understand the effectiveness of their metadata with a goal of improving the visibility of their items in these large portals such as the Digital Public Library of America. This poster will present a classification of the DPLA metadata application profile highlighting compliance levels as well as a visualization framework for presenting the compliance of an institution's data with the DPLA data model.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121724294","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
Using co-authorship networks for author name disambiguation 使用合作作者网络消除作者姓名歧义
2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) Pub Date : 2016-06-19 DOI: 10.1145/2910896.2925461
Fakhri Momeni, Philipp Mayr
{"title":"Using co-authorship networks for author name disambiguation","authors":"Fakhri Momeni, Philipp Mayr","doi":"10.1145/2910896.2925461","DOIUrl":"https://doi.org/10.1145/2910896.2925461","url":null,"abstract":"With the increasing size of digital libraries (DLs) it has become a challenge to identify author names correctly and assign publications to them. The situation becomes more critical when different persons share the same name (homonym problem) or when the names of authors are presented in several different ways (synonym problem). This paper focuses on homonym names in the computer science bibliography DBLP. The goal of this study is to implement and evaluate a method which uses co-authorship networks in order to disambiguate homonym names, especially common names. The results show that the implemented method has a good performance and can be used for author name disambiguation of sparse bibliographic records.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127811813","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: 14
Enhancing scholarly use of digital libraries: A comparative survey and review of bibliographic metadata ontologies 加强数字图书馆的学术应用:书目元数据本体的比较调查与回顾
2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) Pub Date : 2016-06-19 DOI: 10.1145/2910896.2910903
Jacob Jett, Terhi Nurmikko-Fuller, Timothy W. Cole, Kevin R. Page, J. S. Downie
{"title":"Enhancing scholarly use of digital libraries: A comparative survey and review of bibliographic metadata ontologies","authors":"Jacob Jett, Terhi Nurmikko-Fuller, Timothy W. Cole, Kevin R. Page, J. S. Downie","doi":"10.1145/2910896.2910903","DOIUrl":"https://doi.org/10.1145/2910896.2910903","url":null,"abstract":"The HathiTrust Research Center (HTRC) is engaged in the development of tools that will give scholars the ability to analyze the HathiTrust digital library's 14 million volume corpus. A cornerstone of the HTRC's digital infrastructure is the workset - a kind of scholar-built research collection intended for use with the HTRC's analytics platform. Because more than 66% of the digital corpus is subject to copyright restrictions, scholarly users remain dependent upon the descriptive accounts provided by traditional metadata records in order to identify and gather together bibliographic resources for analysis. This paper compares the MADSRDF/MODSRDF, Bibframe, schema.org, BIBO, and FaBiO ontologies by assessing their suitability for employment by the HTRC to meet scholars' needs. These include distinguishing among multiple versions of the same work; representing the complex historical and physical relationships among those versions; and identifying and providing access to finer grained bibliographic entities, e.g., poems, chapters, sections, and even smaller segments of content.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116941128","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: 15
Future digital libraries: Research and responsibilities 未来的数字图书馆:研究与责任
2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) Pub Date : 2016-06-19 DOI: 10.1145/2910896.2926740
M. Zemankova
{"title":"Future digital libraries: Research and responsibilities","authors":"M. Zemankova","doi":"10.1145/2910896.2926740","DOIUrl":"https://doi.org/10.1145/2910896.2926740","url":null,"abstract":"Summary form only given. In October 1991 the National Science Foundation (NSF) sponsored a workshop to examine the role of the Information Retrieval research community in the emerging environment of Internet, high performance text processing capabilities and ever-increasing volumes of digitized documents. Ed Fox, Michael Lesk and Michael McGill drafted a White Paper, calling for a National Electronic Science, Engineering, and Technology Library. The term “Digital Library” was adopted and for follow-up workshops with the goal to identify research directions, leading to National Science Foundation (NSF)/Defense Advanced Research Projects Agency (DARPA)/National Aeronautics and Space Administration (NASA) Research in Digital Libraries Initiative announced in late 1993. Now, in 2016, 25 years after the first workshop, 15 years after the Joint Conference on Digital Libraries has been established, and many initiatives and developments around the world, what is the state of Digital Libraries? What items should be in digital libraries, who should their custodians, how can the items be organized to support knowledge discovery, how can the contents be safeguarded and preserved? Ebla, Syria (2500 B.C.-2250 B.C.) constitutes the oldest organized library of tables yet discovered. What will the archeologists discover in year 4400 about the world, politics, economies, technologies, science, climate, species, health, food, culture, art, entertainment and everyday life through the ages? The talk will examine what we can do to support innovative research and design and implementation of lasting, informative Digital Libraries that will promote global goals of knowledge discovery and international understanding and personal needs to organize and selectively share important facts, creations, and memories.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117234665","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
Towards better understanding of academic search 更好地理解学术搜索
2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) Pub Date : 2016-06-19 DOI: 10.1145/2910896.2910922
Madian Khabsa, Zhaohui Wu, C. Lee Giles
{"title":"Towards better understanding of academic search","authors":"Madian Khabsa, Zhaohui Wu, C. Lee Giles","doi":"10.1145/2910896.2910922","DOIUrl":"https://doi.org/10.1145/2910896.2910922","url":null,"abstract":"Academics have relied heavily on search engines to identify and locate research manuscripts that are related to their research areas. Many of the early information retrieval systems and technologies were developed while catering for librarians to help them sift through books and proceedings, followed by recent online academic search engines such as Google Scholar and Microsoft Academic Search. In spite of their popularity among academics and importance to academia, the usage, query behaviors, and retrieval models for academic search engines have not been well studied. To this end, we study the distribution of queries that are received by an academic search engine. Furthermore, we delve deeper into academic search queries and classify them into navigational and informational queries. This work introduces a definition for navigational queries in academic search engines under which a query is considered navigational if the user is searching for a specific paper or document. We describe multiple facets of navigational academic queries, and introduce a machine learning approach with a set of features to identify such queries.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129505952","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: 25
Mining advisor-advisee relationships in scholarly big data: A deep learning approach 在学术大数据中挖掘顾问与被顾问的关系:一种深度学习方法
2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) Pub Date : 2016-06-19 DOI: 10.1145/2910896.2925435
Wei Wang, Jiaying Liu, Shuo Yu, Chenxin Zhang, Zhenzhen Xu, Feng Xia
{"title":"Mining advisor-advisee relationships in scholarly big data: A deep learning approach","authors":"Wei Wang, Jiaying Liu, Shuo Yu, Chenxin Zhang, Zhenzhen Xu, Feng Xia","doi":"10.1145/2910896.2925435","DOIUrl":"https://doi.org/10.1145/2910896.2925435","url":null,"abstract":"Mining advisor-advisee relationships can benefit many interesting applications such as advisor recommendation and protege performance analysis. Based on the hypothesis that, advisor-advisee relationships among researchers are hidden in scholarly big data, we propose in this work a deep learning based advisor-advisee relationship identification method which considers the personal properties and network characteristics with a stacked autoencoder model. To the best of our knowledge, this is the first time that a deep learning model is utilized to represent coauthor network features for relationships identification. Moreover, experiments demonstrate that the proposed method has better performance compared with other state-of-the-art methods.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128614833","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: 14
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