Structuring bibliographic references: Taking the journal Anais do Museu Paulista to Wikidata

2021 ◽  
Author(s):  
Éder Porto Ferreira Alves ◽  
Paul R. Burley ◽  
João Alexandre Peschanski
Keyword(s):  
Large Scale ◽  
Step Process ◽  
Scholarly Publications ◽  
Data Store ◽  
Brazilian Journal

This chapter provides a step-by-step process for large-scale contributions of articles from scholarly publications to Wikidata, a collaborative data store project of the Wikimedia Foundation. Tools and processes in Wikidata, Zotero, and Google Sheets in particular are described; they relate both to the Wikidata platform and standard spreadsheet programs. The case of the Brazilian journal Anais do Museu Paulista is used to illustrate the process that can then be replicated with other publications and in other contexts.

Towards Massive RDF Storage in NoSQL Databases

2019 ◽  
pp. 263-284 ◽  
Author(s):  
Zongmin Ma ◽  
Li Yan
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Future Research ◽  
Nosql Databases ◽  
Current State ◽  
Data Store ◽  
Rdf Data ◽  
Description Framework ◽  
Resource Description ◽  
The Web

The resource description framework (RDF) is a model for representing information resources on the web. With the widespread acceptance of RDF as the de-facto standard recommended by W3C (World Wide Web Consortium) for the representation and exchange of information on the web, a huge amount of RDF data is being proliferated and becoming available. So, RDF data management is of increasing importance and has attracted attention in the database community as well as the Semantic Web community. Currently, much work has been devoted to propose different solutions to store large-scale RDF data efficiently. In order to manage massive RDF data, NoSQL (not only SQL) databases have been used for scalable RDF data store. This chapter focuses on using various NoSQL databases to store massive RDF data. An up-to-date overview of the current state of the art in RDF data storage in NoSQL databases is provided. The chapter aims at suggestions for future research.

A Review of RDF Storage in NoSQL Databases

2016 ◽  
pp. 210-229 ◽  
Author(s):  
Zongmin Ma ◽  
Li Yan
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Future Research ◽  
Nosql Databases ◽  
Current State ◽  
Data Store ◽  
Rdf Data ◽  
Description Framework ◽  
Resource Description ◽  
The Web

The Resource Description Framework (RDF) is a model for representing information resources on the Web. With the widespread acceptance of RDF as the de-facto standard recommended by W3C (World Wide Web Consortium) for the representation and exchange of information on the Web, a huge amount of RDF data is being proliferated and becoming available. So RDF data management is of increasing importance, and has attracted attentions in the database community as well as the Semantic Web community. Currently much work has been devoted to propose different solutions to store large-scale RDF data efficiently. In order to manage massive RDF data, NoSQL (“not only SQL”) databases have been used for scalable RDF data store. This chapter focuses on using various NoSQL databases to store massive RDF data. An up-to-date overview of the current state of the art in RDF data storage in NoSQL databases is provided. The chapter aims at suggestions for future research.

The Circle of Societal Death

2021 ◽  
pp. 172-200
Author(s):  
Samuel Cohn
Keyword(s):  
Economic Growth ◽  
Large Scale ◽  
Twelve Step ◽  
Economic Decline ◽  
Government Officials ◽  
Education Society ◽  
Step Process ◽  
Self Defense ◽  
The Future ◽  
And Performance

This chapter illustrates the twelve-step process known as the Circle of Societal Death. Assume some externally caused source of economic decline. This will lower governmental functioning by lowering tax revenues. Low government revenues and performance demoralize government functionaries. When government officials are powerless and irrelevant, there is no reason for them not to become corrupt; corruption in the police and the judiciary leads to crime. Once people become genuinely worried about personal security, networks of social cooperation contract. This means they delegitimize everything outside the group, especially the state, and everything becomes defined in ethnic terms. As both crime and ethnic conflict escalate, young people are drawn into self-defense activity. The movement of youth from investment in the future to coercion in the present mortgages the economic growth of the future. As youth are pulled out of education, society becomes less intellectually capable. Fundamental engineering, business, and technological skills become lost, and projects of large-scale coordination suffer. As projects of large-scale coordination become nonviable, economic growth declines. This circle of death also works in reverse.

scholarly journals Towards a Distributed Large-Scale Dynamic Graph Data Store

2016 ◽  
Author(s):  
Keita Iwabuchi ◽  
Scott Sallinen ◽  
Roger Pearce ◽  
Brian Van Essen ◽  
Maya Gokhale ◽  
...  
Keyword(s):  
Large Scale ◽  
Dynamic Graph ◽  
Graph Data ◽  
Data Store

Comparison Study of Different NoSQL and Cloud Paradigm for Better Data Storage Technology

2018 ◽  
pp. 312-343
Author(s):  
Pankaj Lathar ◽  
K. G. Srinivasa ◽  
Abhishek Kumar ◽  
Nabeel Siddiqui
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Data Storage ◽  
High Performance ◽  
Large Scale ◽  
Web Based ◽  
Storage Technology ◽  
Data Store ◽  
Challenges And Opportunities ◽  
User Data

Advancements in web-based technology and the proliferation of sensors and mobile devices interacting with the internet have resulted in immense data management requirements. These data management activities include storage, processing, demand of high-performance read-write operations of big data. Large-scale and high-concurrency applications like SNS and search engines have appeared to be facing challenges in using the relational database to store and query dynamic user data. NoSQL and cloud computing has emerged as a paradigm that could meet these requirements. The available diversity of existing NoSQL and cloud computing solutions make it difficult to comprehend the domain and choose an appropriate solution for a specific business task. Therefore, this chapter reviews NoSQL and cloud-system-based solutions with the goal of providing a perspective in the field of data storage technology/algorithms, leveraging guidance to researchers and practitioners to select the best-fit data store, and identifying challenges and opportunities of the paradigm.

scholarly journals Social Engineering Attacks on Facebook – A Case Study

2021 ◽  
pp. 299-313
Author(s):  
Abdul Shareef Pallivalappil ◽  
Jagadeesha S. N. ◽  
Krishna Prasad K.
Keyword(s):  
Social Network ◽  
Private Information ◽  
Large Scale ◽  
Social Engineering ◽  
Free Access ◽  
American Business ◽  
Sensitive Information ◽  
Scholarly Publications ◽  
Current Location

Background/Purpose: Facebook is an American business that offer online social networking services. Facebook was founded in 2004 by Harvard University freshmen Mark Zuckerberg, Eduardo Saverin, Dustin Moskovitz, and Chris Hughes. Free access to Facebook enables new users to create profiles, upload photos to existing groups, and start new ones. Every user's profile page has a Timeline area where they can upload material and their social network connections may reply with messages and Status updates informing them of their current location or condition. Additionally, Facebook includes a function called News Feed that notifies users of updates to their friends' profiles and statuses. Users can communicate with one another and exchange private messages using Facebook Messenger. Additionally, Facebook users may express their approval of a type of content by clicking the "Like" button. Every day, more than a billion people use Facebook, making it the most common social network on the planet. Menlo Park, California, is where the company's headquarters are located. Objective: To analyse how Facebook is misused and turned into an attack platform, in order to get sensitive information that can be used to create an attack profile against an individual. Design/Methodology/Approach: SWOT framework is being used to analyse and display information gathered from scholarly publications, web articles, and other sources. Findings/Results: Social Engineering Attacks using Facebook help the attackers to steal sensitive private information from unaware users. Using a false profile is one of the most frequent techniques to execute a large-scale data harvesting attack. Cyber Criminals use Facebook as the main target for social engineering attacks because of its high number of users and popularity. Originality/Value: This paper study gives a brief overview of Social Engineering Attacks on Facebook based on a variety of data collected. Paper Type: Case study-based Research Analysis

scholarly journals Open Editors: A Dataset of Scholarly Journals’ Editorial Board Positions

2021 ◽  
Author(s):  
Andreas Pacher ◽  
Tamara Heck ◽  
Kerstin Schoch
Keyword(s):  
Large Scale ◽  
Open Data ◽  
Scientific Publication ◽  
Academic Journal ◽  
Editorial Boards ◽  
Scientific Investigations ◽  
Scholarly Publications ◽  
Available Information ◽  
Machine Readable

Editormetrics analyse the role of editors of academic journals and their impact on the scientific publication system. However, such analyses would best rely on open, structured and machine-readable data on editors and editorial boards, whose availability still remains rare. To address this shortcoming, the project Open Editors collects data about academic journal editors on a large scale and structures them into a single dataset. It does so by scraping the websites of 6.090 journals from 17 publishers, thereby structuring publicly available information (names, affiliations, editorial roles etc.) about 478.563 researchers. The project will iterate this webscraping procedure annually to enable insights into the changes of editorial boards over time. All codes and data are made available at GitHub, while the result is browsable at a dedicated website (https://openeditors.ooir.org). This dataset carries wide-ranging implications for meta-scientific investigations into the landscape of scholarly publications, including for bibliometric analyses, and allows for critical inquiries into the representation of diversity and inclusivity. It also contributes to the goal of expanding linked open data within science to evaluate and reflect on the scholarly publication process.

scholarly journals The United States - China Rivalry and the BRI

2021 ◽  
Vol 21 (2) ◽  
pp. 288-303
Author(s):  
Jean-Marc F. Blanchard
Keyword(s):  
United States ◽  
Foreign Policy ◽  
Large Scale ◽  
American Foreign Policy ◽  
The United States ◽  
Think Tank ◽  
Policy Documents ◽  
Fine Grained ◽  
Scholarly Publications ◽  
Belt And Road

The article describes the United States - China rivalry and Chinas Belt and Road Initiative (BRI) through a fine-grained review of primary materials such as major US policy documents and speeches by and media interviews with key American foreign policy decisionmakers, as well as the selective use of secondary materials such as think tank studies and articles in scholarly publications. It shows that the BRI has fueled the bilateral rivalry since its birth in 2013 and that the rivalry, in turn, has affected US views about the BRI. Under President Barack Obama, the US took a muted stance towards the BRI, expressing modestly cooperative sentiments regarding it. In contrast, under President Donald Trump, Washingtons posture towards the BRI dramatically changed with his administration frequently denigrating the BRI, raising it in major security and foreign policy documents, initiating competing development schemes such as the BUILD Act, and building closer cooperation with allies against Chinas venture. Despite its angst about the BRI, however, the Trump administration never launched any large-scale countermeasures. This article contributes to clarifying the situation by correcting some factual errors in past analyses and updating the general understanding about the Trump administrations response. It systematically contemplates how internal and external economic, political, and ideational factors affected the Obama and Trump administrations responses to the BRI, demonstrating that such factors shaped or shifted US policy or bounded its form and intensity. These factors, being similar to those stressed by neoclassical realists who emphasize the role of leaders as interpreters within limits of the external environment and responders to it subject to various domestic constraints, provide a foundation which is used to speculate about the USs probable response to the BRI under President Joseph Biden, Jr.

A Review of RDF Storage in NoSQL Databases

Big Data ◽  
2016 ◽  
pp. 85-104
Author(s):  
Zongmin Ma ◽  
Li Yan
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Future Research ◽  
Nosql Databases ◽  
Current State ◽  
Data Store ◽  
Rdf Data ◽  
Description Framework ◽  
Resource Description ◽  
The Web

The Resource Description Framework (RDF) is a model for representing information resources on the Web. With the widespread acceptance of RDF as the de-facto standard recommended by W3C (World Wide Web Consortium) for the representation and exchange of information on the Web, a huge amount of RDF data is being proliferated and becoming available. So RDF data management is of increasing importance, and has attracted attentions in the database community as well as the Semantic Web community. Currently much work has been devoted to propose different solutions to store large-scale RDF data efficiently. In order to manage massive RDF data, NoSQL (“not only SQL”) databases have been used for scalable RDF data store. This chapter focuses on using various NoSQL databases to store massive RDF data. An up-to-date overview of the current state of the art in RDF data storage in NoSQL databases is provided. The chapter aims at suggestions for future research.

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