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Formalizing an Attribution Framework for Scientific Data/Software Products and Collections

Chung-Yi Hou, Matthew Mayernik
2017 International Journal of Digital Curation  
The paper concludes by highlighting the key feedback and features to be examined in order to improve the next revisions of the Matrix and the Schema.  ...  Schema to record the contribution information of different sample datasets.  ...  Acknowledgements The authors gratefully acknowledge Ethan Davis and Russ Rew of the University Corporation for Atmospheric Research and Harry Dixon of the UK National River Flow Archive for their contributions  ... 
doi:10.2218/ijdc.v11i2.404 fatcat:y3jkkukju5eeflaksacizyvgmq

Authorship in top-ranked mathematical and physical journals: Role of gender on self-perceptions and bibliographic evidence

Helena Mihaljevi´, Lucía Santamaría
2020 Quantitative Science Studies  
' perceptions of their submission practices and analyze around 10,000 responses, collected as part of a recent global survey of scientists.  ...  We observe a pronounced shortage of female authors in top-ranked journals, with quasi-stagnant figures in various distinguished periodicals in the first two disciplines and a significantly more equitable  ...  FUNDING INFORMATION This work is informed by the authors' participation in the project "A Global Approach to the Gender Gap in Mathematical, Computing, and Natural Sciences: How to Measure It, How to Reduce  ... 
doi:10.1162/qss_a_00090 fatcat:e3gjhej2hfbq5edt2nd2g4ttbm

Landscaping the information space of large multi-database networks

Mike P. Papazoglou, Henderik A. Proper, Jian Yang
2001 Data & Knowledge Engineering  
Large-scale searching for multi-database schema information is guided by a combination of lexical, structural and semantic aspects of schema terms in order to reveal more meaning both about the contents  ...  This paper presents a conceptual architecture for the organisation information space across collections of component systems in multi-databases that provides serendipity, exploration and contextualisation  ...  Such meta-data attributes may for example be concerned with: authorship, date of creation, medium, le format, pricing, quality, and location.  ... 
doi:10.1016/s0169-023x(00)00050-1 fatcat:akgagzotjfhdtkpcii5s5kqkru

Exploring heterogeneous information networks and random walk with restart for academic search

Meng-Fen Chiang, Jiun-Jiue Liou, Jen-Liang Wang, Wen-Chih Peng, Man-Kwan Shan
2012 Knowledge and Information Systems  
Explicitly, given a bibliographic dataset, we propose a Global-MMG, in which a global heterogeneous information network is built.  ...  Algorithm Net-MMG first divides a heterogeneous information network into a collection of sub-networks. Afterward, the Net-MMG performs a RWR on a set of selected relevant sub-networks.  ...  Note that the referenced paper attribute is not incorporated into the star schema because a referenced paper is usually covered by a broad range of latent topics, which may pose difficulties when identifying  ... 
doi:10.1007/s10115-012-0523-8 fatcat:cvvwgmhzebbozda7fgw5ho6vku

User characterization for online social networks

Tayfun Tuna, Esra Akbas, Ahmet Aksoy, Muhammed Abdullah Canbaz, Umit Karabiyik, Bilal Gonen, Ramazan Aygun
2016 Social Network Analysis and Mining  
In this paper, we study the research studies that are helpful for user characterization as online users may not always reveal their true identity or attributes.  ...  Online social network analysis has attracted great attention with a vast number of users sharing information and availability of APIs that help to crawl online social network data.  ...  After determining globalness of a topic, the users' interests on global topics are also quantified.  ... 
doi:10.1007/s13278-016-0412-3 fatcat:fragk2zfhzcffn6b3cu5nd662u

COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature [article]

Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis
2020 arXiv   pre-print
In this work, we present the COVID-19 Knowledge Graph (CKG), a heterogeneous graph for extracting and visualizing complex relationships between COVID-19 scientific articles.  ...  The CKG combines semantic information with document topological information for the application of similar document retrieval.  ...  With the help of medical professionals we add global topic information that forms additional medical relationships in the CKG.  ... 
arXiv:2007.12731v1 fatcat:shbewuzebrctxgsa3dhnsl623q

Shall I Work with Them? A Knowledge Graph-Based Approach for Predicting Future Research Collaborations

Nikos Kanakaris, Nikolaos Giarelis, Ilias Siachos, Nikos Karacapilidis
2021 Entropy  
To the best of our knowledge, this is the first work on the prediction of future research collaborations that combines structural and textual information of a scientific knowledge graph through a purposeful  ...  Our experimentations with the new COVID-19 Open Research Dataset demonstrate a significant improvement of the abovementioned performance metrics in the prediction of future research collaborations.  ...  As a result, the problem of incorporating global properties of graphs to graph kernels has gained some attraction and a recent work attempts to tackle this issue [20] .  ... 
doi:10.3390/e23060664 pmid:34070422 fatcat:xk4q34tyfrb3rpvhd26tmzbxoa

From Close to Distant and Back: How to Read with the Help of Machines [chapter]

Rudi Bonfiglioli, Federico Nanni
2016 IFIP Advances in Information and Communication Technology  
feature selection) to distant reading (text mining analysis) to close reading again (evaluation of the results, interpretation, use of the results).  ...  In recent years a common trend characterised by the adoption of text mining methods for the study of digital sources emerged in digital humanities, often in opposition to traditional hermeneutic approaches  ...  tasks such as authorship attributions [23] .  ... 
doi:10.1007/978-3-319-47286-7_6 fatcat:42uddgiduvdgpl23lbx2h3qf5e

DDI and Enhanced Data Citation

Larry Hoyle, Mary Vardigan, Jay Greenfield, Sam Hume, Sanda Ionescu, Jeremy Iverson, John Kunze, Barry Radler, Wendy Thomas, Stuart Weibel, Michael Witt
2016 IASSIST Quarterly  
Wendy Thomas is the Director of the Data Access Core in the Minnesota Population Center (MPC) at the University of Minnesota and has been active in the data and information technology community for over  ...  25 years providing data research and support services to academic, governmental, non-profit, and for-profit researchers.  ...  Citation-related information for a variable in DDI3.2 We created a new variable (TopicDescription) that could be reusable with the Topic Result table from any SAS Text Miner Text Topic node instance.  ... 
doi:10.29173/iq129 fatcat:yjkwiurtmzfargkjxbgybf3lcm

RDF dataset profiling – a survey of features, methods, vocabularies and applications

Mohamed Ben Ellefi, Zohra Bellahsene, John G. Breslin, Elena Demidova, Stefan Dietze, Julian Szymański, Konstantin Todorov, Lora Aroyo
2018 Semantic Web Journal  
This can be partially attributed to the lack of reliable and up-to-date information about the characteristics of available datasets.  ...  Ultimately, this work is intended to facilitate the reader to identify the relevant features for building a dataset profile for intended applications together with the methods and tools capable of extracting  ...  In this survey, we provide a pivotal guide for readers to obtain a global view on the various dataset profile features illustrated by examples.  ... 
doi:10.3233/sw-180294 fatcat:6ihya5zgpfgp5f6xcjpapy6ocy

Political Economy Websites: A Researcher's Guide

Abhijit Sharma, Richard Woodward
2001 New Political Economy  
For this purpose a two-tier set of criteria is used.  ...  of information.  ...  Authorship -should be clearly identified for the purposes of attributing information. F3.  ... 
doi:10.1080/13563460124497 fatcat:ostzfxnjv5gmrnvuqgd65yl46q

On Generating Benchmark Data for Entity Matching

Ekaterini Ioannou, Nataliya Rassadko, Yannis Velegrakis
2012 Journal on Data Semantics  
This paper introduces EMBench, a principled system for the evaluation of entity matching systems.  ...  It can also form the basis of entity search by finding the entities in a repository that best match a user specification.  ...  As an example, consider co-authorship in publications.  ... 
doi:10.1007/s13740-012-0015-8 fatcat:tu6u3jg2k5aydjyiuqn2ppqrwi

Link Prediction in Social Networks: the State-of-the-Art [article]

Peng Wang and Baowen Xu and Yurong Wu and Xiaoyu Zhou
2014 arXiv   pre-print
A systematical category for link prediction techniques and problems is presented. Then link prediction techniques and problems are analyzed and discussed.  ...  In social networks, link prediction predicts missing links in current networks and new or dissolution links in future networks, is important for mining and analyzing the evolution of social networks.  ...  Scellato et al. considered social features, place features and global features in location-based social networks for link prediction based on a supervised learning framework [74] .  ... 
arXiv:1411.5118v2 fatcat:ns5ufekku5hwnotjlfgj2oiaei

Link prediction in social networks: the state-of-the-art

Peng Wang, BaoWen Xu, YuRong Wu, XiaoYu Zhou
2014 Science China Information Sciences  
A systematical category for link prediction techniques and problems is presented. Then link prediction techniques and problems are analyzed and discussed.  ...  In social networks, link prediction predicts missing links in current networks and new or dissolution links in future networks, is important for mining and analyzing the evolution of social networks.  ...  [58] considered social features, place features and global features in location-based social networks for link prediction based on a supervised learning framework.  ... 
doi:10.1007/s11432-014-5237-y fatcat:x6jd4zwg7fgefjrho4en4rtfgm

Storytelling and Visualization: An Extended Survey

Chao Tong, Richard Roberts, Rita Borgo, Sean Walton, Robert Laramee, Kodzo Wegba, Aidong Lu, Yun Wang, Huamin Qu, Qiong Luo, Xiaojuan Ma
2018 Information  
The benefits offer a concise overview and a starting point into this rapidly evolving research trend and provide a deeper understanding of this topic.  ...  Throughout history, storytelling has been an effective way of conveying information and knowledge.  ...  They propose a graph-driven approach for finding effective sequences for narrative visualizations informed by their analysis, including defining data attributes for transitions, labelling, and maintaining  ... 
doi:10.3390/info9030065 fatcat:pbsh2l2d55ca5fa7fxptlfxknq
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