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The (Big) Data-security assemblage: Knowledge and critique

Claudia Aradau, Tobias Blanke
2015 Big Data & Society  
argue for a series of conceptual moves around data, human-computer relations, and algorithms to address some of the limitations of existing engagements with the Big Data-security assemblage.  ...  While critical scholars have drawn attention to the social, political and legal challenges to these practices, the debates in computer and information science have received less analytical attention.  ...  Computing scientists wanted to create an artificial intelligence that replicated human intelligence, but was separate from humans.  ... 
doi:10.1177/2053951715609066 fatcat:iu6hpqcyizbtfkpkh7xzgo4ule

From collection resources to intelligent data: Construction of intelligent digital humanities platform for local historical documents of Shanghai Jiao Tong University

Yin Qian, Zhuoyuan Xing, Xiaohua Shi
2020 Digital Scholarship in the Humanities  
support, and research experience for humanities scholars.  ...  However, the requirements of deep knowledge mining in documents data, providing visual analysis, and effectively supporting the research of historic humanities scholars had not been fully met.  ...  Acknowledgements This work was supported by the Social Science Planning of Shanghai (Grant No. 2018BTQ002), and the authors wish to thank the reviewers of this paper who offered a number of useful recommendations  ... 
doi:10.1093/llc/fqaa027 fatcat:rijokq6fkbd5tp5gfy56pfmqxy

Fighting COVID-19 with Artificial Intelligence

Slava Tykhonov
2021 Zenodo  
Spanish National Research Council webinar (Seminario sobre inteligencia artificial y covid-19), 20 April 2021.  ...  for humanities scholars.  ...  Data Cloud • Using the Knowledge Graph for the Machine Learning Supporting Semantic Web for Data Why Artificial Intelligence?  ... 
doi:10.5281/zenodo.5838191 fatcat:bcy5ks2muzfr7nqbans5zri5yy

Biomedical Scholarly Article Editing and Sharing using Holistic Semantic Uplifting Approach

Asim Abbas, Steve Fonin Mbouadeu, Fazel Keshtkar, Joan DeBello, Syed Ahmad Chan Bukhari
2022 Proceedings of the ... International Florida Artificial Intelligence Research Society Conference  
As a result, the biomedical metadata content would easily be indexed by search engines, making them more favorable for semantic intelligence searches.  ...  We have developed a lightweight technical infrastructure (goSemantically) and miniaturized that as Google Docs add-ons that helps authors to add machine-interpretable metadata at the content and structural  ...  technical knowledge by utilizing biomedical ontologies and schema.org metadata tags.  ... 
doi:10.32473/flairs.v35i.130695 fatcat:m2xnm74vv5dg7jb4m4tus64z6u

From Digital to Computational Humanities: The VAST Project Vision

Silvana Castano, Alfio Ferrara, Stefano Montanelli, Francesco Periti
2021 Zenodo  
In the shift from Digital to Computational Humanities, the role of artificial intelligence, data scienceand digital technologies is fundamental to achieve advances and results.  ...  As a concrete example ofComputational Humanities Research, we present the vision of the EU H2020VASTproject (Values AcrossSpace and Time) recently started, where cutting edge digital technologies and knowledge  ...  As a consequence, we are assisting to a shift from Digital Humanities (DH) to the so-called Computational Humanities (CH) research, where the role of artificial intelligence, data science and cutting edge  ... 
doi:10.5281/zenodo.5837909 fatcat:3z2zjklsrvhedboxppmh64cyxe

FREYA Guest Webinar: CoronaWhy Knowlegde Graph

Vyacheslav Tykhonov, Ricarda Braukmann
2020 Zenodo  
This upload consists of the presentations and the video recording from the FREYA guest webinar on the CoronaWhy Knowlegde Graph. The webinar was held on Tuesday 1st of September 2020 at 16:00 CEST  ...  for humanities scholars.  ...  have contributed to increasing interoperability in the humanities and enabling new research opportunities to a wide range of scholars.  ... 
doi:10.5281/zenodo.4010843 fatcat:ctc5cdk6rbhqngakdgv4u2xnki

Differentiating between data-mining and text-mining terminology

J.H. Kroeze, M.C. Matthee, T.J.D. Bothma
2004 South African Journal of Information Management  
Artificial intelligence, and especially natural language processing, can be used to simulate human capabilities needed for intelligent text mining.  ...  Artificial intelligence, and especially natural language processing, plays an important role in intelligent text mining.  ... 
doi:10.4102/sajim.v6i4.353 fatcat:q2ttt5a4ibdcdg4mlebjsmkwwu

Learning About Metadata and Machines: Teaching Students Using a Novel Structured Database Activity

Andrew Iliadis Iliadis, Tony Liao, Isabel Pedersen, Jing Han
2021 Journal of Communication Pedagogy  
Many students lack the experience with metadata and sufficient knowledge about it to understand it as part of their data literacy skills.  ...  Through a set of virtual instructional videos and interactive visualizations, the paper describes how students can gain experience with structured data and apply that knowledge to successfully find, curate  ...  A second interest of HMC scholars is in HMC's similarities to mass media using algorithms, artificial intelligence, and automation for communicative meaning-making (Gunkel, 2012; Guzman & Lewis, 2020;  ... 
doi:10.31446/jcp.2021.1.14 fatcat:mmdx72hl25hjxlqfg2ob3p7cg4

Linguistic support for the formation of a consolidated information resource of social memory institutions

Halyna Lypak, Nataliia Kunanets, Nataliia Veretennikova, Volodymyr Pasichnyk
2019 Mìždisciplìnarnì doslìdžennâ skladnih sistem  
Metadata of library digital electronic resources, archives and museums is characterized as a fundamental linguistic support of consolidation process of these resources and simultaneously as means of human  ...  and machine interaction in the development and operation of a consolidated information resource.  ...  The task of linguistic study of human-machine language is especially relevant in connection with the development of artificial intelligence systems.  ... 
doi:10.31392/iscs.2018.13.098 fatcat:b5gnu3humffkvlilljmwom2sva

Archives and AI: An Overview of Current Debates and Future Perspectives [article]

Giovanni Colavizza, Tobias Blanke, Charles Jeurgens, Julia Noordegraaf
2021 arXiv   pre-print
As a consequence, automation in the form of artificial intelligence techniques is increasingly applied both to scale traditional recordkeeping activities, and to experiment with novel ways to capture,  ...  We survey recent developments at the intersection of Artificial Intelligence and archival thinking and practice.  ...  The project automatically synchronises archival metadata from several sources, and complements them with user-generated metadata and thematic "virtual collections" [Bryant 2018 ].  ... 
arXiv:2105.01117v1 fatcat:up2ahotvurabtnwvzlyk32z7yq

Announcing the Professor Cooley archive at Waterford Institute of Technology, Ireland: a celebration of the legacy of Mike Cooley

Larry Stapleton, Brenda O'Neill, Kieran Cronin, Matthew Kendrick
2019 AI & Society: The Journal of Human-Centred Systems and Machine Intelligence  
Acknowledgements WIT is extremely grateful for the extraordinary generosity of Mike and the Cooley family, both in the donation and in their engagement with our Institute.  ...  the human knowledge down into metadata encodings which only a computer engineer could understand.  ...  According to Gill (2016) , his "values of the human-centred tradition… are reformulated in the emergence of socially useful artificial super intelligence, Big Data and Internet of Things… Cooley… warns  ... 
doi:10.1007/s00146-019-00878-y fatcat:dsfxhzusffcb7fswwo7qupavte

Editorial: Artificial Intelligence

Stoyan Tanev
2019 Technology Innovation Management Review  
This fact implies a responsibility for innovation scholars and professional innovation managers to examine these changes and generate insights that could help in dealing with the challenges of emerging  ...  chaired the conference session for scholars and practitioners presenting articles focusing on the same theme. It is published with the support and cooperation of the ISPIM Board.  ...  The next paper is by Sergey Yablonsky: "Multidimensional Data-Driven Artificial Intelligence Innovation."  ... 
doi:10.22215/timreview/1286 fatcat:lxhtafeo3nhodlmcbznfahalwq

The Invisible Citation Commons

Phoebe Ayers, Samuel J. Klein
2021 Business of Knowing  
are used by academics training artificial intelligence tools.  ...  However, Wikidata's coverage goes beyond books and articles. It is global, and aims to represent the totality of types of human knowledge.  ... 
doi:10.21428/6ffd8432.5af8c64c fatcat:ic5cidtsevcrjovxanczcgfxki

Implications of Artificial Intelligence (AI) on Dynamics of Medical Education and Care: A Perspective

Tripti K Srivastava, Lalitbhushan Waghmare
2020 Journal of Clinical and Diagnostic Research  
Artificial Intelligence (AI) applies to the development of systems endowed with the intellectual processes characteristic of humans.  ...  Devices are likely to outperform humans, more so cognitively; and coming to terms with this fact require physicians to brace themselves to practice in a technologically enhanced environment.  ...  ., PubMed, Medline, Scopus, Index Copernicus and Google Scholar.  ... 
doi:10.7860/jcdr/2020/43293.13565 fatcat:klcsn6sl4zfddkhijl2k742x5u

SodhanaRef: a reference management software built using hybrid semantic measure

Mandava Kranthi Kiran, K Thammi Reddy
2018 International Journal of Engineering & Technology  
the user mentioned query.With SodhanaRef, a solution is offered to deal with the above-mentioned issues by building reference management software using a mix up of corpus-based and knowledge-based semantic  ...  The other evaluations for finding the semantic similarity between the user mentioned query and the existing titles in the title search and for identifying the concept behind the query along with identifying  ...  Acknowledge We thank G Sai Murali and Arige Maheswari for their immense support in evaluating our system.  ... 
doi:10.14419/ijet.v7i2.9544 fatcat:k2ut6vl7v5f33dtxnpp237ib6m
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