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Fighting COVID-19 with Artificial Intelligence

Slava Tykhonov
2021 Zenodo  
layer for Large Scale projects like Time Machine and CoronaWhy • Working on the automatic metadata linkage to ontologies and external controlled vocabularies in order to get it linked in the Linked Open  ...  Data Cloud • Using the Knowledge Graph for the Machine Learning Supporting Semantic Web for Data Why Artificial Intelligence?  ...  It reflects information such as its location (physical or virtual), shelf mark, and barcode.  ... 
doi:10.5281/zenodo.5838191 fatcat:bcy5ks2muzfr7nqbans5zri5yy

Publishing (and Forgetting) the Small or Medium-sized Scholarly Edition or Cultural Heritage Collection as Linked Open Data: Using Zenodo and Github to Publish the Visionary Cross Project (Abstract)

Daniel Paul O'Donnell, Gurpreet Singh, Dot Porter, Roberto Rosselli Del Turco, Marco Callieri, Matteo Dellepiane, Roberto Scopigno
2018 Zenodo  
We discuss an approach to publishing heterogeneous file data and long-form humanities research as both linked open data and a (human readable) digital scholarly edition using Zenodo and Github.  ...  which a Humanities-focused analysis and commentary is build and understand each data point in the context of these larger synthetic research products.  ...  In particular, we show how Zenodo and Github can be used together to disseminate content as both a (machine and human-readable) Linked Open Data Digital Library and a (human readable) Digital Scholarly  ... 
doi:10.5281/zenodo.3338481 fatcat:uf4qqkljqrfqfnmojixxusyrmi

Graph Based Link Prediction between Human Phenotypes and Genes [article]

Rushabh Patel, Yanhui Guo
2021 arXiv   pre-print
The recent advances in the field of machine learning is efficient to predict these interactions between abnormal human phenotypes and genes.  ...  Methods: In this study, we developed a framework to predict links between human phenotype ontology (HPO) and genes.  ...  This is the most widely used metric in the machine learning community for validating highly imbalanced data.  ... 
arXiv:2105.11989v2 fatcat:sglfl4ox4nfnznez72ilkdwtg4

Definition of Open Data Services in Software Business [chapter]

Yulia Tammisto, Juho Lindman
2012 Lecture Notes in Business Information Processing  
New software businesses are extending the software industry via private enterprises that build new and innovative services on top of Open Data (OD) sets released by government and public bodies.  ...  This paper combines conceptual and empirical investigations of OD definition to clarify the benefits open data sets hold for service development.  ...  In short, both constructing meaning and building legitimate use for the new ICT innovation characterized by the term "Open Data" in the industry.  ... 
doi:10.1007/978-3-642-30746-1_28 fatcat:mkodfntzmrei7fjwse4ri56f34

Reusing Data and Metadata to Create New Metadata through Machine-learning & Other Programmatic Methods

Justin Gosses, ANTHONY R. BUONOMO, Brian A. Thomas, Evan Taylor Yates, Rean W. Yuan, Jenna M. Horn
2019 Zenodo  
In this talk, we'll compare machine-generated metadata to human-generated metadata and discuss characteristics of metadata and data archives that affect suitability for machine-learning reuse of metadata  ...  Where as human-generated metadata is often populated once, populated from the perspective of data supplier, populated by many individuals with different words for the same thing, and limited in length,  ...  This data would be used by end-users to filter results and theoretically inform a model for predicting what datasets work well for different tasks.  ... 
doi:10.5281/zenodo.3674262 fatcat:u3us5dcpyreqrnolk77eqnk7ee

Visual Content Analysis and Linked Data for Automatic Enrichment of Architecture-Related Images [chapter]

Tino Mager, Seyran Khademi, Ronald Siebes, Carola Hein, Victor de Boer, Jan van Gemert
2019 Digital Cultural Heritage  
Recent advances in automatic visual analysis and the increasing amount of linked open data triggered the research described in this paper.  ...  We provide an overview of the current status of automated image analysis and linked data technology and present a case study and methodology to automatically enrich a large database of historical images  ...  The use of Linked Data to represent both data and metadata allows for a flexible data model that is easily updated and extended.  ... 
doi:10.1007/978-3-030-15200-0_18 fatcat:thqv55slybhvjcisth77niitki

Open your structured data with Wikibase — install your own instance of the technology behind Wikidata

Jens Ohlig
2019 Zenodo  
Wikibase lets you share your data in a form that can be read and edited by humans and machines. Read to query, link to other knowledge bases and open for everyone.  ...  Wikidata is a project by Wikimedia — the organization behind Wikipedia — to build a repository for the sum of all human knowledge.  ...  Make them readable and queryable for machines. Link between things and concepts. Build the Semantic Web. Do it the Wiki Way.  ... 
doi:10.5281/zenodo.3554231 fatcat:n7adcshb3fewfahuv6fzg5wiay


Aydan Aghabayli, Bruno Figueiredo, José Granja, Ricardo Camarinha, Manuel Luis
2021 Zenodo  
Only then information can be converted into knowledge by both humans and machines.  ...  As such, this work adopts a learning perspective for machines to learn from data stored in Building Information Modelling (BIM) Models, the modern information management repositories in the sector.  ...  by both humans and machines.  ... 
doi:10.5281/zenodo.5705804 fatcat:55clrkfjgrbrlkudh64rbcn75u

Hybrid human–machine information systems: Challenges and opportunities

Gianluca Demartini
2015 Computer Networks  
The creation of hybrid human-machine systems is a highly promising direction as it allows leveraging both the scalability of machines over large amounts of data as well as keeping the quality of human  ...  intelligence in the loop to finally obtain both efficiency and effectiveness in data processing applications.  ...  Hybrid human-machine approaches for entity linking have also been proposed [19] .  ... 
doi:10.1016/j.comnet.2015.05.018 fatcat:un7dqw2o2rhydiuga4kvysz6ea

Kleenks: Linked Data with Applications in Research and Ambient Assisted Living [chapter]

Andrei-Adnan Ismail, Razvan Dinu, Adina Magda Florea, Tiberiu Stratulat, Jacques Ferber
2014 IFIP Advances in Information and Communication Technology  
In the center of this war comes Berners-Lee's concept of Linked Data. Linked data is no longer data exposed by machines for machines, but it is data exposed by humans for their fellow machines.  ...  Not only this model is able to leverage all existing produced data by both environments, but it is built in such a way that users and machines can both work together to build a larger graph of linked data  ... 
doi:10.1007/978-3-642-54897-0_4 fatcat:t3ss3w55zjd5for6yosjevkhfq

(Re)Discovering Known Biodiversity: Introduction

Donat Agosti
2021 Biodiversity Information Science and Standards  
For example, "L. 1758" is an established reference and links to both, Carolus Linnaeus and Linnaeus 1758, understandable at least by an expert human, and in the digital age, provides access to the respective  ...  In the pre-digital age, these links were meant for the human reader to be understood.  ...  For example, "L. 1758" is an established reference and links to both, Carolus Linnaeus and Linnaeus 1758, understandable at least by an expert human, and in the digital age, provides access to the respective  ... 
doi:10.3897/biss.5.75491 fatcat:6mmnko7mhfdkrh74z7ts47sndq

Automating Requirements Traceability: Two Decades of Learning from KDD [article]

Alex Dekhtyar, Jane Huffman Hayes
2018 arXiv   pre-print
This paper summarizes our experience with using Knowledge Discovery in Data (KDD) methodology for automated requirements tracing, and discusses our insights.  ...  ACKNOWLEDGEMENTS The work of the second author has been supported in part by NSF grants CCF-1511117 and CICI 1642134.  ...  The V&V process is often used for mission-and safety-critical systems, where the cost of human error is high.  ... 
arXiv:1807.11454v1 fatcat:ztkoyrbysnhijofhd6a42dtjcq

A Journal for Human and Machine

James Hendler, Ying Ding, Barend Mons
2019 Data Intelligence  
how best A Journal for Human and Machine to do this.  ...  of journal publication which has the ability to accumulate, disseminate, and create knowledge that is simultaneously contributed to both humans and machines.  ...  Barend Mons is Professor of BioSemantics at the Human Genetics Department of Leiden University Medical Center and founder of the BioSemantics group. He was elected CODATA President in 2018.  ... 
doi:10.1162/dint_e_00001 dblp:journals/dint/HendlerDM19 fatcat:maiprqcxnfa23c5emz4x3hwboy

The global environmental agenda urgently needs a semantic web of knowledge

Stefano Balbi, Kenneth J. Bagstad, Ainhoa Magrach, Maria Jose Sanz, Naikoa Aguilar-Amuchastegui, Carlo Giupponi, Ferdinando Villa
2022 Environmental Evidence  
., public data and model repositories—is a useful starting point, but without shared semantics and common standards for machine actionable data and models, our collective ability to build, grow, and share  ...  By labelling web-based scientific information to become readable by both humans and computers, machines can search, organize, reuse, combine and synthesize information quickly and in novel ways.  ...  Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.  ... 
doi:10.1186/s13750-022-00258-y fatcat:rlrjleuahvacppgxa7mkg4zmj4

Digital Humanities on the Semantic Web: Accessing Historical and Musical Linked Data

Albert Meroño-Peñuela
2017 Journal of Catalan Intellectual History  
We also argue that the technological gap between the Semantic Web and Linked Data, and DH data owners is currently too wide for effective access and consumption of these semantically enabled humanities  ...  Linked Data.  ...  This work was funded by the CLARIAH project of the Dutch Science Foundation (NWO) and the Dutch national programme COMMIT.  ... 
doi:10.1515/jocih-2016-0013 fatcat:q3ljgergufdmhplrsnhvmkrc7q
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