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