From data to knowledge: the relationships between vocabularies, linked data and knowledge graphs

2020 ◽  
Vol 77 (1) ◽  
pp. 93-105
Author(s):  
Junzhi Jia
Keyword(s):  
Big Data ◽  
Semantic Web ◽  
Linked Data ◽  
Design Methodology ◽  
Conceptual Analysis ◽  
Entity Recognition ◽  
Content Type ◽  
Data Layer ◽  
Knowledge Graphs ◽  
Organically Combine

PurposeThe purpose of this paper is to identify the concepts, component parts and relationships between vocabularies, linked data and knowledge graphs (KGs) from the perspectives of data and knowledge transitions.Design/methodology/approachThis paper uses conceptual analysis methods. This study focuses on distinguishing concepts and analyzing composition and intercorrelations to explore data and knowledge transitions.FindingsVocabularies are the cornerstone for accurately building understanding of the meaning of data. Vocabularies provide for a data-sharing model and play an important role in supporting the semantic expression of linked data and defining the schema layer; they are also used for entity recognition, alignment and linkage for KGs. KGs, which consist of a schema layer and a data layer, are presented as cubes that organically combine vocabularies, linked data and big data.Originality/valueThis paper first describes the composition of vocabularies, linked data and KGs. More importantly, this paper innovatively analyzes and summarizes the interrelatedness of these factors, which comes from frequent interactions between data and knowledge. The three factors empower each other and can ultimately empower the Semantic Web.

scholarly journals Big Data and analytics in tourism and hospitality: a perspective article

2019 ◽  
Vol 75 (1) ◽  
pp. 299-303 ◽  
Author(s):  
Marcello Mariani
Keyword(s):  
Big Data ◽  
Design Methodology ◽  
Conceptual Analysis ◽  
Digital Technologies ◽  
Research Field ◽  
Special Issue ◽  
Content Type ◽  
Literature Research ◽  
Tourism And Hospitality ◽  
Digital Entrepreneurship

Purpose This study aims to discuss the evolution of Big Data (BD) and Analytics in the tourism and hospitality field. It analyses the important role that BD has played so far in tourism and hospitality research and delineates how it might evolve in the future. Design/methodology/approach In line with the Platinum Jubilee Special Issue of Tourism Review, this work consists of a critical and conceptual analysis including a mini literature review of recent work in the area at the intersection of BD and tourism and hospitality research. Findings Findings suggest that tourism and hospitality scholars are increasingly aware of and adopting BD approaches to retrieve, collect, analyse, report and visualise their data. However, a number of avenues for improvement in the use and interpretation of BD and BD analytics as both sets of methods and technology need to be developed. Moreover, BD analytics promise to enhance a number of digital technologies in tourism and hospitality such as AI and IoT that heavily rely on data. As such, the authors envision that a new digital entrepreneurship field might be shaped within the tourism and hospitality literature. Research pathways for future inquiry at the intersection of BD and tourism and hospitality are outlined. Originality/value While thinking retrospectively about research revolving around BD and its role in the tourism and hospitality research field so far, this study also addresses the challenges pertaining to how BD research will be conducted in the next seven decades within tourism and hospitality.

A bibliographic study on big data: concepts, trends and challenges

2017 ◽  
Vol 23 (3) ◽  
pp. 555-573 ◽  
Author(s):  
Deepa Mishra ◽  
Zongwei Luo ◽  
Shan Jiang ◽  
Thanos Papadopoulos ◽  
Rameshwar Dubey
Keyword(s):  
Big Data ◽  
Citation Analysis ◽  
Design Methodology ◽  
Future Directions ◽  
Content Type ◽  
Current Trends ◽  
Bibliographic Study

Purpose The purpose of paper is twofold. First, it provides a consolidated overview of the existing literature on “big data” and second, it presents the current trends and opens up various future directions for researchers who wish to explore and contribute in this rapidly evolving field. Design/methodology/approach To achieve the objective of this study, the bibliographic and network techniques of citation and co-citation analysis was adopted. This analysis involved an assessment of 57 articles published over a period of five years (2011-2015) in ten selected journals. Findings The findings reveal that the number of articles devoted to the study of “big data” has increased rapidly in recent years. Moreover, the study identifies some of the most influential articles of this area. Finally, the paper highlights the new trends and discusses the challenges associated with big data. Research limitations/implications This study focusses only on big data concepts, trends, and challenges and excludes research on its analytics. Thus, researchers may explore and extend this area of research. Originality/value To the knowledge of the authors, this is the first study to review the literature on big data by using citation and co-citation analysis.

scholarly journals “Happy slaves”? The adaptation problem and identity politics in the writings of Amartya Sen

2016 ◽  
Vol 43 (12) ◽  
pp. 1178-1193
Author(s):  
Tony Burns
Keyword(s):  
Identity Politics ◽  
Design Methodology ◽  
Conceptual Analysis ◽  
Practical Implication ◽  
Methodological Approach ◽  
Mary Wollstonecraft ◽  
Amartya Sen ◽  
Content Type ◽  
The Relationship ◽  
Practical Implications

Purpose The purpose of this paper is to examine the relationship between Amartya Sen’s notion of adaptation and his views on identity politics by focussing on the issue of slavery and, more specifically, on the example of the happy or contented slave. Design/methodology/approach The paper is text based. The methodological approach adopted is that of conceptual analysis, as is typical for work of this kind. Findings The paper concludes that the example of the happy or contented slave is indeed a fruitful one for those interested in exploring the relationship between Sen’s views on “the adaptation problem” and his views on identity politics, especially in relation to the subjection of women. Here Sen’s debt to the ideas of Mary Wollstonecraft and John Stuart Mill is particularly important. Research limitations/implications One implication of the argument of the paper is that there is a need to consider more carefully the differences that exist between the views of Wollstonecraft and Mill, so far as the example of the happy or contented slave is concerned. Practical implications One practical implication of the paper is that, hopefully, it establishes the continued relevance of the ideas of thinkers such as Wollstonecraft and Mill today, not least because of the influence that they have had on theoreticians such as Amartya Sen. Social implications The paper addresses issues which are of considerable social and political significance, especially for women in underdeveloped societies today. Originality/value The example of the happy or contented slave has not received much discussion in the literature on Sen, although Sen himself has suggested that the distinction between happiness and contentment is an important one, which does merit further discussion.

Big data analysis of trends in the second-hand apparel market: a comparison between 2014 and 2019

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanghee Kim ◽  
Hongjoo Woo
Keyword(s):  
Big Data ◽  
Design Methodology ◽  
Semantic Network ◽  
Distribution Channels ◽  
Subject Area ◽  
Future Research ◽  
Semantic Network Analysis ◽  
Content Type ◽  
The Past ◽  
Network Patterns

Purpose According to the perspective of evolutionary economic theory, the marketplace continuously evolves over time, following the changing needs of both customers and firms. In accordance with the theory, the second-hand apparel market has been rapidly expanding by meeting consumers’ diverse preferences and promoting sustainability since 2014. To understand what changes in consumers’ consumption behaviors regarding used apparel have driven this growth, the purpose of this study is to examine how the second-hand apparel market product types, distribution channels and consumers’ motives have changed over the past five years. Design/methodology/approach This study collected big data from Google through Textom software by extracting all Web-exposed text in 2014, and again in 2019, that contained the keyword “second-hand apparel,” and used the Node XL program to visualize the network patterns of these words through the semantic network analysis. Findings The results indicate that the second-hand apparel market has evolved with various changes over the past five years in terms of consumer motives, product types and distribution channels. Originality/value This study provides a comprehensive understanding of the changing demands of consumers toward used apparel over the past five years, providing insights for retailers as well as future research in this subject area.

Spirituality and social responsibility performance

2017 ◽  
Vol 8 (1) ◽  
pp. 63-82 ◽  
Author(s):  
Katelin Barron ◽  
Shih Yung Chou
Keyword(s):  
Social Responsibility ◽  
Design Methodology ◽  
Conceptual Analysis ◽  
Core Values ◽  
Time Orientation ◽  
Spiritual Values ◽  
Socially Responsible ◽  
Religiously Affiliated ◽  
Content Type ◽  
Higher Power

Purpose This paper aims to discuss how religiously and non-religiously affiliated individuals may view the three core workplace spiritual values: transcendence, existence of a higher power and interconnectedness. Additionally, this paper studies how the contrasts between the views of religiously and non-religiously affiliated individuals about the three core spiritual values affect their performance of social responsibility initiatives. Design/methodology/approach A conceptual analysis was used. Findings This paper suggests that religiously and non-religiously affiliated individuals view the three core spiritual values differently. Drawing upon the three core spiritual values viewed by religiously and non-religiously affiliated individuals, this paper proposes the following. First, religiously affiliated individuals will focus on implementing social responsibility initiatives for a longer time orientation compared to non-religiously affiliated individuals. Second, when engaging in social responsibility, religiously affiliated individuals will focus on implementing a smaller scope of social responsibility initiatives than non-religiously affiliated individuals. Finally, religiously affiliated individuals will focus on implementing a larger scale of social responsibility initiatives than non-religiously affiliated individuals. Originality/value This paper is one of the very first studies addressing how religiously and non-religiously affiliated individuals view core values of spirituality. Additionally, this paper advances the literature by contrasting how religiously and non-religiously affiliated individuals engage in socially responsible initiatives in accordance with how they view spirituality.

Optimisation of resource management in construction projects: a big data approach

2019 ◽  
Vol 16 (2) ◽  
pp. 82-93 ◽  
Author(s):  
Habeeb Kusimo ◽  
Lukumon Oyedele ◽  
Olugbenga Akinade ◽  
Ahmed Oyedele ◽  
Sofiat Abioye ◽  
...  
Keyword(s):  
Big Data ◽  
Resource Management ◽  
Construction Industry ◽  
Construction Projects ◽  
Design Methodology ◽  
Key Factors ◽  
Content Type ◽  
Management Processes ◽  
Qualitative Research Methodology ◽  
The Uk

Purpose The purpose of this paper is to identify challenges faced in resource management in the UK construction industry and to propose some solutions to these problems. Design/methodology/approach Based on a qualitative research methodology, 14 experts from the UK construction industry were chosen to be participants in the study. The participants were equally divided into two focus groups to discuss resource management using five projects as case studies. Thematic analysis of the discussion reveals seven key factors that affect resource management. Findings The results show that most of the problems identified are due to poor data management processes and the practice of having data in silos. Overcoming this challenge requires the adoption of big data approaches for resource management to allow the integration of large and different forms of data. Originality/value This study seeks to bring to the fore challenges faced in resource management by the UK construction industry and to outline some solutions to address them.

Theory of advice as an information object targeted at an unmade decision

2019 ◽  
Vol 76 (1) ◽  
pp. 212-230
Author(s):  
Allen J. Flynn
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Design Methodology ◽  
Conceptual Analysis ◽  
Content Type ◽  
Information Object ◽  
Advice Giving ◽  
Information And Communication ◽  
Practical Implications ◽  
Scientific Fields

Purpose The purpose of this paper is to advance an understanding of the concept of advice and its relationship to documents, information and knowledge. Design/methodology/approach A conceptual analysis of a sample of 48 relevant advice studies and two books, directly informed by documentation and information theories, was conducted to find out how researchers have approached advice conceptually since 1940. Further gains in understanding advice came from analyzing its relationship with environmental uncertainty. Findings Researchers have studied advice in the context of human-human, machine-machine and information and communication technology-intermediated interactions. Advice has been conceptualized and categorized in many different ways. Over time, conceptualizations of advice have broadened and become more general. In this light, it is theorized that advice is as an information object targeted at an unmade decision. This conceptualization of advice permits situated and momentary advice documents. A newly developed content-based framework of advice leads to an advice typology with four content-based categories of best possible advice: correct answers, probabilities, possibilities, and acknowledgments of the unknown. Research limitations/implications The refined advice theory, content-based advice framework and related typology of advice contributed here are small steps toward improved clarity about the nature of advice. These findings are limited in their focus to advice theory and advice categorization. Practical implications Scholars, practitioners and information system developers may reconsider advice theory and make use of the content-based framework and related advice typology in their work. These contributions will help advice-givers and the developers of advice-giving information systems and advice networks to provide better advice. Originality/value This paper fills a need for a clear and straightforward overall conceptualization of advice that accounts for advice documents and is informed by how advice has been previously conceptualized in multiple scientific fields.

scholarly journals Influence of Big Data in managing cyber assets

2019 ◽  
Vol 9 (4) ◽  
pp. 503-514
Author(s):  
Amit Mitra ◽  
Kamran Munir
Keyword(s):  
Big Data ◽  
Asset Management ◽  
Design Methodology ◽  
Insurance Industry ◽  
Manufacturing Industries ◽  
Time Data ◽  
Content Type ◽  
Innovative Leadership ◽  
Data Flows ◽  
Desk Research

Purpose Today, Big Data plays an imperative role in the creation, maintenance and loss of cyber assets of organisations. Research in connection to Big Data and cyber asset management is embryonic. Using evidence, the purpose of this paper is to argue that asset management in the context of Big Data is punctuated by a variety of vulnerabilities that can only be estimated when characteristics of such assets like being intangible are adequately accounted for. Design/methodology/approach Evidence for the study has been drawn from interviews of leaders of digital transformation projects in three organisations that are within the insurance industry, natural gas and oil, and manufacturing industries. Findings By examining the extant literature, the authors traced the type of influence that Big Data has over asset management within organisations. In a context defined by variability and volume of data, it is unlikely that the authors will be going back to restricting data flows. The focus now for asset managing organisations would be to improve semantic processors to deal with the vast array of data in variable formats. Research limitations/implications Data used as evidence for the study are based on interviews, as well as desk research. The use of real-time data along with the use of quantitative analysis could lead to insights that have hitherto eluded the research community. Originality/value There is a serious dearth of the research in the context of innovative leadership in dealing with a threatened asset management space. Interpreting creative initiatives to deal with a variety of risks to data assets has clear value for a variety of audiences.

Extraction, analysis and publication of bibliographical references within an institutional repository

2016 ◽  
Vol 34 (2) ◽  
pp. 259-267 ◽  
Author(s):  
Götz Hatop
Keyword(s):  
Semantic Web ◽  
Citation Analysis ◽  
Open Source Software ◽  
Linked Data ◽  
Software Components ◽  
Institutional Repository ◽  
Semantic Web Technologies ◽  
Content Type ◽  
Web Technologies ◽  
Reference Information

Purpose – The academic tradition of adding a reference section with references to cited and otherwise related academic material to an article provides a natural starting point for finding links to other publications. These links can then be published as linked data. Natural language processing technologies are available today that can perform the task of bibliographical reference extraction from text. Publishing references by the means of semantic web technologies is a prerequisite for a broader study and analysis of citations and thus can help to improve academic communication in a general sense. The paper aims to discuss these issues. Design/methodology/approach – This paper examines the overall workflow required to extract, analyze and semantically publish bibliographical references within an Institutional Repository with the help of open source software components. Findings – A publication infrastructure where references are available for software agents would enable additional benefits like citation analysis, e.g. the collection of citations of a known paper and the investigation of citation sentiment.The publication of reference information as demonstrated in this article is possible with existing semantic web technologies based on established ontologies and open source software components. Research limitations/implications – Only a limited number of metadata extraction programs have been considered for performance evaluation and reference extraction was tested for journal articles only, whereas Institutional Repositories usually do contain a large number of other material like monographs. Also, citation analysis is in an experimental state and citation sentiment is currently not published at all. For future work, the problem of distributing reference information between repositories is an important problem that needs to be tackled. Originality/value – Publishing reference information as linked data are new within the academic publishing domain.

Big Data information governance by accountants

2018 ◽  
Vol 26 (1) ◽  
pp. 153-170 ◽  
Author(s):  
Emily M. Coyne ◽  
Joshua G. Coyne ◽  
Kenton B. Walker
Keyword(s):  
Big Data ◽  
Life Cycle ◽  
Design Methodology ◽  
Decision Makers ◽  
Accounting Profession ◽  
Content Type ◽  
Data Life Cycle ◽  
Information Governance ◽  
And Control ◽  
Strong Ability

Purpose Big Data has become increasingly important to multiple facets of the accounting profession, but accountants have little understanding of the steps necessary to convert Big Data into useful information. This limited understanding creates a gap between what accountants can do and what accountants should do to assist in Big Data information governance. The study aims to bridge this gap in two ways. Design/methodology/approach First, the study introduces a model of the Big Data life cycle to explain the process of converting Big Data into information. Knowledge of this life cycle is a first step toward enabling accountants to engage in Big Data information governance. Second, it highlights informational and control risks inherent to this life cycle, and identifies information governance activities and agents that can minimize these risks. Findings Because accountants have a strong ability to identify the informational and control needs of internal and external decision-makers, they should play a significant role in Big Data information governance. Originality/value This model of the Big Data life cycle and information governance provides a first attempt to formalize knowledge that accountants need in a new field of the accounting profession.

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