Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries最新文献

{"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":"10.1145/2910896.2926734","DOIUrl":"https://doi.org/10.1145/2910896.2926734","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":175288,"journal":{"name":"Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries","volume":"49 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":"128036543","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}

{"title":"Can you learn it?: Probably! Developing Learning Analytics Tools in R","authors":"Giorgio Maria Di Nunzio","doi":"10.1145/2910896.2925437","DOIUrl":"https://doi.org/10.1145/2910896.2925437","url":null,"abstract":"Automatic text categorization is an effective way to organize large text datasets in Digital Libraries (DL). However, most of the available machine learning tools are complex and go beyond the scope of what a digital library curator need or is able to do in order to classify the objects of a DL. Drawing inspiration from the field of Learning Analytics and Interactive Machine Learning, we design and implement visual interactive classifiers that are intuitive to train and easy to use. In this poster, we present an interactive Web application in R that allows users to use text classifier in an innovative way. The source code of the application is available at the following link: https://github.com/gmdn/educational-data-mining","PeriodicalId":175288,"journal":{"name":"Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries","volume":"53 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":"132525043","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}

{"title":"Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries","authors":"N. Adam, Boots Cassel, Y. Yesha, R. Furuta, Michele C. Weigle","doi":"10.1145/2910896","DOIUrl":"https://doi.org/10.1145/2910896","url":null,"abstract":"Welcome to the 2016 ACM/IEEE-CS Joint Conference on Digital Libraries. Our conference theme is Big Libraries, Big Data, Big Innovation. We invited submissions that proposed new access methods for DLs, developed technologies for analyzing holdings, and reported on innovative uses of DLs for discovery and exploration in science, art, and the humanities. \u0000 \u0000This year's technical program will feature 27 research papers, to be presented in 7 sessions, with topics ranging from Wikipedia and Newspaper Analysis to Curation and Education to Recommendation and Prediction. We will also host two panel sessions, Issues of Dealing with Fluid Data in Digital Libraries and Preserving Born-Digital News. \u0000 \u0000We received a number of high-quality paper submissions with authors from 18 countries around the world. Each paper was read and rated by at least 3 reviewers and a meta-reviewer. All papers were discussed at the Program Committee meeting held in Austin, Texas, where the final slate of accepted papers was determined. We accepted 15 full papers out of the 52 submissions (29% acceptance rate) and 12 short papers out of the 34 submissions (35% acceptance rate). \u0000 \u0000In addition to papers, we accepted 39 posters and demos in two rounds of submissions; this year with an added round to allow authors who submitted earlier a \"second chance\" to convert longer submissions into poster form or to present later-breaking work. The 39 posters and demos will be presented on the first night of the conference (Monday) and will be preceded by the popular \"Minute Madness\" session. During the poster and demo session, attendees will be invited to vote for the Best Poster/Demo Award. \u0000 \u0000At our Tuesday night banquet, we will present the Vannevar Bush Best Paper Award and the Best Student Paper Award. Here are the nominees for the best paper awards: \u0000\"Low-cost semantic enhancement to Digital Library metadata and indexing: Simple yet effective strategies\", Annika Hinze, David Bainbridge, Sally Jo Cunningham, and J. Stephen Downie \u0000\"ArchiveSpark: Efficient Web Archive Access, Extraction and Derivation\", Helge Holzmann, Vinay Goel, and Avishek Anand - also nominated for Best Student Paper \u0000\"Digital History Meets Wikipedia: Analyzing Historical Persons in Wikipedia\", Adam Jatowt, Daisuke Kawai, and Katsumi Tanaka \u0000\"Comparing Published Scientific Journal Articles to Their Pre-print Versions\", Martin Klein, Peter Broadwell, Sharon Farb, and Todd Grappone \u0000\"Evaluating the Quality of Educational Answers in Community Question-Answering\", Long Le, Chirag Shah, and Erik Choi - also nominated for Best Student Paper","PeriodicalId":175288,"journal":{"name":"Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries","volume":"82 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":"121047156","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}