scholarly journals Using the W3C Generating RDF from Tabular Data on the Web recommendation to manage small Wikidata datasets

Semantic Web ◽  
2021 ◽  
pp. 1-23
Author(s):  
Steven J. Baskauf ◽  
Jessica K. Baskauf
Keyword(s):  
Simple Form ◽  
Data Model ◽  
Graph Model ◽  
Value Added ◽  
Knowledge Graph ◽  
Tabular Data ◽  
Rdf Graph ◽  
Current State ◽  
Over Time ◽  
The Web

The W3C Generating RDF from Tabular Data on the Web Recommendation provides a mechanism for mapping CSV-formatted data to any RDF graph model. Since the Wikibase data model used by Wikidata can be expressed as RDF, this Recommendation can be used to document tabular snapshots of parts of the Wikidata knowledge graph in a simple form that is easy for humans and applications to read. Those snapshots can be used to document how subgraphs of Wikidata have changed over time and can be compared with the current state of Wikidata using its Query Service to detect vandalism and value added through community contributions.

Typology-based semantic labeling of numeric tabular data

Semantic Web ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 5-20
Author(s):  
Ahmad Alobaid ◽  
Emilia Kacprzak ◽  
Oscar Corcho
Keyword(s):  
Measurement Accuracy ◽  
Knowledge Graph ◽  
Entity Linking ◽  
Tabular Data ◽  
Rounding Errors ◽  
Semantic Labeling ◽  
Different Types ◽  
Numeric Data ◽  
The Web

A lot of tabular data are being published on the Web. Semantic labeling of such data may help in their understanding and exploitation. However, many challenges need to be addressed to do this automatically. With numbers, it can be even harder due to the possible difference in measurement accuracy, rounding errors, and even the frequency of their appearance. Multiple approaches have been proposed in the literature to tackle the problem of semantic labeling of numeric values in existing tabular datasets. However, they also suffer from several shortcomings: closely coupled with entity-linking, rely on table context, need to profile the knowledge graph, and require manual training of the model. Above all, however, they all treat different types of numeric values evenly. In this paper, we tackle these problems and validate our hypothesis: whether taking into account the typology of numeric data in semantic labeling yields better results.

Web Data Extraction and Integration in Domain

2013 ◽  
Vol 756-759 ◽  
pp. 1585-1589 ◽  
Author(s):  
Gui Li ◽  
Zi Yang Han ◽  
Zhao Xin Chen ◽  
Zheng Yu Li ◽  
Ping Sun
Keyword(s):  
Data Model ◽  
Data Extraction ◽  
Value Added ◽  
Web Pages ◽  
Web Data ◽  
Integration Algorithm ◽  
Web Data Extraction ◽  
Data Schema ◽  
The Web

The purpose of WEB data extraction and integration is to provide the domain oriented value-added services. Based on the requirements of domain, and the features of web pages data. this paper proposes a WEB data schema and a domain data model. It also puts forward the web table positioning and web table records extracting based on WEB data schema and an integration algorithm based on the main data model. The experiment results are given to show effectiveness of the proposed algorithm and model.

scholarly journals A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020

2021 ◽  
Vol 18 (3) ◽  
pp. 952 ◽  
Author(s):  
Leonardo B. Furstenau ◽  
Bruna Rabaioli ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Decision Making ◽  
Network Analysis ◽  
Web Of Science ◽  
Future Research ◽  
Future Trends ◽  
Damage Prevention ◽  
Over Time ◽  
The Web

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.

A five-decade review of gender-based occupational segregation: A bibliometric study of influential authors, institutions, and research clusters

2021 ◽  
Vol 30 (2) ◽  
pp. 117-128
Author(s):  
Leena Sachdeva ◽  
Kumkum Bharti ◽  
Mridul Maheshwari
Keyword(s):  
Wage Differential ◽  
Web Of Science ◽  
Occupational Segregation ◽  
Extensive Field ◽  
Organisational Structures ◽  
Gender Based ◽  
Changes Over Time ◽  
Over Time ◽  
The Web

Despite the proliferation of occupational segregation research, only a limited amount has explored it from a gender perspective. The attention that has been given is widely scattered and requires an analysis to identify the major works undertaken and the changes over time. This study aimed to examine and assimilate articles published on gender-based occupational segregation through a bibliometric analysis. The study examined 512 articles published from the early 1970s to 2020 that were retrieved from the Web of Science database. The findings suggest that gender and occupational segregation remain an extensive field of research, although this research comes mainly from North American and European countries. The low representation from developing countries indicates that more research is needed based on these different socio-cultural settings. This study identified three dominant research clusters, namely gendered organisational structures and systems, measurement of occupational segregation, and wage differential. Studies also covered areas including conceptualization, LGBTQ issues, and the role of legislation and institutions in reducing workplace inequalities; thus, providing a direction for scholars and practitioners.

scholarly journals The Trending Academic Library Job Market: An Analysis of Library Position Announcements from 2011 with Comparisons to 1996 and 1988

2015 ◽  
Vol 76 (6) ◽  
pp. 716-739 ◽  
Author(s):  
Therese F. Triumph ◽  
Penny M. Beile
Keyword(s):  
Work Experience ◽  
Academic Library ◽  
The United States ◽  
Primary Objective ◽  
Job Market ◽  
Current State ◽  
Emerging Trends ◽  
Job Advertisements ◽  
Salary Information ◽  
Over Time

The primary objective of the study was to describe the number, types and titles, requested qualifications and skills, salary information, and locations of positions advertised in 2011 on the ALA JobLIST and ARL Job Announcements websites and in the print version of the Chronicle of Higher Education for purposes of determining the current state of the academic library job market in the United States. To investigate changes in the academic library job market and identify emerging trends over a 23-year period, results also were compared to studies that analyzed position announcements from 1996 and 1988. Content analysis of 957 unique academic library job advertisements revealed relative stasis in the market regarding the number of positions advertised, presence of administrative duties, geographic distribution of positions, and, to some extent, educational requirements. However, other comparisons were more dynamic. Specifically, there has been a decline in foreign language skills and prior work experience requirements over time while computer skills are increasingly sought. Perhaps most striking is the proliferation of new position titles that have emerged over time, which serves as an indication that library positions are becoming increasingly specialized.

The Google Knowledge Graph

2014 ◽  
Vol 30 (4) ◽  
pp. 15-17 ◽  
Keyword(s):  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Social Impact ◽  
Knowledge Graph ◽  
Content Type ◽  
Principal Source ◽  
Pertinent Information ◽  
Practical Implications ◽  
The Web

Purpose – This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach – This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings – Becoming increasingly reliant on the web as a principal source of finding information is altering our brains and the way that we obtain and hold knowledge. We are becoming less reliant on our memories to hold knowledge, instead using technology – and search engines like Google in particular – to deposit and retrieve information. Practical implications – The paper provides strategic insights and practical thinking that have influenced some of the world's leading organizations. Social implications – The paper provides strategic insights and practical thinking that can have a broader social impact. Originality/value – The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

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