scholarly journals SKO Types: an entity-based scientific knowledge objects metadata schema

2015 ◽  
Vol 19 (1) ◽  
pp. 60-70 ◽  
Author(s):  
Hao Xu ◽  
Fausto Giunchiglia
Keyword(s):  
Knowledge Management ◽  
Scientific Knowledge ◽  
Digital Libraries ◽  
Scientific Publications ◽  
Content Type ◽  
Strategic Reading ◽  
The Past ◽  
Metadata Schema ◽  
Knowledge Objects ◽  
Knowledge Object

Purpose – This paper aims to propose an entity-based scientific metadata schema, i.e. Scientific Knowledge Object (SKO) Types. During the past 50 years, many metadata schemas have been developed in a variety of disciplines. However, current scientific metadata schemas focus on describing data, but not entities. They are descriptive, but few of them are structural and administrative. Design/methodology/approach – To describe entities in scientific knowledge, the theory of SKO Types is proposed. SKO Types is an entity-based theory for representing and linking SKOs. It defines entities, relationships between entities and attributes of each entity in the scientific domain. Findings – In scientific knowledge management, SKO Types serves as the basis for relating entities, entity components, aggregated entities, relationships and attributes to various tasks, e.g. linked entity, rhetorical structuring, strategic reading, semantic annotating, etc., that users may perform when consulting ubiquitous SKOs. Originality/value – SKO Types can be widely applied in various digital libraries and scientific knowledge management systems, while for the existing legacy of scientific publications and their associated metadata schemas.

Towards an Entity-Based Scientific Metadata Schema

2013 ◽  
Vol 423-426 ◽  
pp. 2751-2754
Author(s):  
Hao Xu
Keyword(s):  
Scientific Knowledge ◽  
Scientific Domain ◽  
Strategic Reading ◽  
The Past ◽  
Metadata Schema ◽  
Knowledge Objects

During the past fifty years, many metadata schemas have been developed in a variety of disciplines. However, current scientific metadata schemas focus on describing data, but not entities. They are descriptive, but few of them are structural and administrative. SKO Types is an entity-oriented theory for representing and linking Scientific Knowledge Objects by defining entities, relationships between entities, and attributes of each entity in the scientific domain. In SKO management, SKO Types serve as the basis for relating entities, entity components, aggregated entities, relationships and attributes to various tasks, e.g. linked entity, rhetorical structuring, strategic reading, semantic annotating, etc., that users may perform when consulting ubiquitous SKOs. In this paper, we propose an entity-based scientific metadata schema.

Mapping the field of knowledge management: a bibliometric analysis using R

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rayees Farooq
Keyword(s):  
Knowledge Management ◽  
Bibliometric Analysis ◽  
Digital Libraries ◽  
Analytical Techniques ◽  
R Package ◽  
Scientific Publications ◽  
Content Type ◽  
Number Of Publications ◽  
New Research ◽  
Over Time

Purpose The purpose of this study is to offer the bibliometric analysis of the Journal of Knowledge Management (JKM) to understand how the literature has developed over time. Design/methodology/approach This study used bibliometric approaches to analyze a sample of 669 studies from 1997 to 2021. This study focused on performance analysis and scientific mapping of articles using the R package. Findings The results indicate that the number of publications during the period has significantly increased which shows a growing interest of researchers in the JKM. This study highlights new emerging themes such as change management, change readiness, product innovation and digital libraries which uncover exciting avenues for new research opportunities. USA and UK were the most productive countries in terms of the number of citations followed by few European countries including Spain, Finland, Germany and Sweden. However, it is worth noting that India was the most productive country in the emerging economies. Practical implications This study will act as a guide for researchers of various fields to evaluate the development of scientific publications in a particular theme over time, especially for those who are in the field of knowledge management (KM). Originality/value This study aims to accomplish the systematic bibliometric analysis of the JKM for more than two decades, providing useful insights into the key developments in the field of KM. This study is more rigorous and comprehensive in terms of the analytical techniques used.

Bibliometric analysis of the VINE Journal of Information and Knowledge Management Systems: 2000–2020

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md Anwarul Islam ◽  
Gunilla Widen
Keyword(s):  
Knowledge Management ◽  
Bibliometric Analysis ◽  
Research Collaboration ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Science Mapping ◽  
Content Type ◽  
The Past ◽  
Mapping Analysis ◽  
Information And Knowledge Management

Purpose VINE Journal of Information and Knowledge Management Systems (VJIKMS) is one of the oldest and leading journals in the knowledge management (KM) field. The purpose of this study is to conduct bibliometrics analysis of publications published in VJIKMS for the past two decades. For doing this, this paper covered the past two decades of publications and carried out a science mapping analysis of publications. Design/methodology/approach The methodology included bibliometrics and the science mapping analysis process. This paper imported the bibliographic information of VJIKMS from the abstract and citation database Scopus. Through bibliometrics method, this paper examined the citation results, author productivity, authorship pattern, research collaboration and other parameters of the selected publications. Afterward, this paper used VOSviewer software to carry out the science mapping of bibliometric networks. Findings The findings showed that VJIKMS published 718 publications during 2000–2020, which got cited 4,311 times (6 times per article) till date. Joint authorship and international collaboration have been increasing where 1,417 authors from 66 countries have published. The USA, the UK and Iran lead the KM publications in this journal. Nonaka’s publications and Journal of Knowledge Management (JKM) are highly cited references and journals in the VJIKMS. Research limitations/implications The findings of this study would help the KM students, researchers and practitioners to see the diffusion of KM globally, what are the promising areas to work and helps to know the various patterns of publications if they aim to publish in VJIKMS. Originality/value This is the first time a bibliometric analysis has been conducted to analysis of research publications published in VJIKMS. This presents a comprehensive analysis of publications between 2000 and 2020.

The Application of Data-Mining to Recommender Systems

2011 ◽  
pp. 45-50 ◽  
Author(s):  
J. Ben Schafer
Keyword(s):  
Data Mining ◽  
Knowledge Management ◽  
Electronic Commerce ◽  
Recommender Systems ◽  
Digital Libraries ◽  
Buying Behavior ◽  
Data Mining Techniques ◽  
The Past ◽  
A Site ◽  
Product Description

In a world where the number of choices can be overwhelming, recommender systems help users find and evaluate items of interest. They connect users with items to “consume” (purchase, view, listen to, etc.) by associating the content of recommended items or the opinions of other individuals with the consuming user’s actions or opinions. Such systems have become powerful tools in domains from electronic commerce to digital libraries and knowledge management. For example, a consumer of just about any major online retailer who expresses an interest in an item – either through viewing a product description or by placing the item in his “shopping cart” – will likely receive recommendations for additional products. These products can be recommended based on the top overall sellers on a site, on the demographics of the consumer, or on an analysis of the past buying behavior of the consumer as a prediction for future buying behavior. This paper will address the technology used to generate recommendations, focusing on the application of data mining techniques.

Application of Data Mining to Recommender Systems

2011 ◽  
pp. 44-48 ◽  
Author(s):  
J. Ben Schafer
Keyword(s):  
Data Mining ◽  
Knowledge Management ◽  
Electronic Commerce ◽  
Recommender Systems ◽  
Digital Libraries ◽  
Buying Behavior ◽  
Data Mining Techniques ◽  
The Past ◽  
A Site ◽  
Product Description

In a world where the number of choices can be overwhelming, recommender systems help users find and evaluate items of interest. They connect users with items to “consume” (purchase, view, listen to, etc.) by associating the content of recommended items or the opinions of other individuals with the consuming user’s actions or opinions. Such systems have become powerful tools in domains from electronic commerce to digital libraries and knowledge management. For example, a consumer of just about any major online retailer who expresses an interest in an item – either through viewing a product description or by placing the item in his “shopping cart” – will likely receive recommendations for additional products. These products can be recommended based on the top overall sellers on a site, on the demographics of the consumer, or on an analysis of the past buying behavior of the consumer as a prediction for future buying behavior. This paper will address the technology used to generate recommendations, focusing on the application of data mining techniques.

Looking for knowledge management in library and information science research

2020 ◽  
Vol 69 (8/9) ◽  
pp. 697-716
Author(s):  
Naresh Kumar Agarwal ◽  
Md. Anwarul Islam
Keyword(s):  
Knowledge Management ◽  
Design Methodology ◽  
Information Science ◽  
Science Research ◽  
Library And Information Science ◽  
Publication Trends ◽  
Content Type ◽  
The Past ◽  
Other Information

Purpose The purpose of this paper is to investigate the place of knowledge management (KM) in library and information science (LIS) research. The authors looked for KM articles published in top LIS journals since 2000. Design/methodology/approach The authors analyzed publication trends and the distribution of articles by KM-related terms used, region/country and information-setting type. The authors also identified the top-cited KM articles published in these LIS journals. Findings In total, 672 KM-related articles (only 3.84%) were found within the 17,491 articles published in these LIS journals. Research limitations/implications This low percentage shows that while it might seem like LIS people are advocating for KM in libraries and other information settings, the authors find that despite the synergies, KM is yet to find a broader place within other LIS concerns. Originality/value Research published during the past two decades has frequently discussed how KM is important for libraries and for LIS. However, the authors do not know the extent to which KM forms a part of LIS research.

scholarly journals Extracting scientific trends by mining topics from Call for Papers

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Noor Arshad ◽  
Abu Bakar ◽  
Saira Hanif Soroya ◽  
Iqra Safder ◽  
Sajjad Haider ◽  
...  
Keyword(s):  
Digital Libraries ◽  
Publication Output ◽  
Big Data Analytics ◽  
Research Administration ◽  
Privacy And Security ◽  
Scientific Publications ◽  
Data Set ◽  
Content Type ◽  
Computing Machinery ◽  
Novel Approach

Purpose The purpose of this paper is to present a novel approach for mining scientific trends using topics from Call for Papers (CFP). The work contributes a valuable input for researchers, academics, funding institutes and research administration departments by sharing the trends to set directions of research path. Design/methodology/approach The authors procure an innovative CFP data set to analyse scientific evolution and prestige of conferences that set scientific trends using scientific publications indexed in DBLP. Using the Field of Research code 804 from Australian Research Council, the authors identify 146 conferences (from 2006 to 2015) into different thematic areas by matching the terms extracted from publication titles with the Association for Computing Machinery Computing Classification System. Furthermore, the authors enrich the vocabulary of terms from the WordNet dictionary and Growbag data set. To measure the significance of terms, the authors adopt the following weighting schemas: probabilistic, gram, relative, accumulative and hierarchal. Findings The results indicate the rise of “big data analytics” from CFP topics in the last few years. Whereas the topics related to “privacy and security” show an exponential increase, the topics related to “semantic web” show a downfall in recent years. While analysing publication output in DBLP that matches CFP indexed in ERA Core A* to C rank conference, the authors identified that A* and A tier conferences not merely set publication trends, since B or C tier conferences target similar CFP. Originality/value Overall, the analyses presented in this research are prolific for the scientific community and research administrators to study research trends and better data management of digital libraries pertaining to the scientific literature.

A prospective retrospective: conceptual mapping of the intellectual structure and research trends of knowledge management over the last 25 years

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Elias G. Carayannis ◽  
João J.M. Ferreira ◽  
Cristina Fernandes
Keyword(s):  
Knowledge Management ◽  
Citation Index ◽  
Research Field ◽  
Research Trends ◽  
Intellectual Structure ◽  
Future Research ◽  
Scientific Publications ◽  
Content Type ◽  
Academic Field ◽  
Arts And Humanities

Purpose Knowledge and its management and, more recently, strategic knowledge management (SKM) represent major challenges for the organisations of the 21st century. Despite the importance of this knowledge field, and the significant quantity of research that has focussed on this theme, there is a dearth of studies in the literature undertaking a systematic SKM review. This study aims to provide a currently complete and systematic SKM review to stimulate and contribute to furthering this academic field and correspondingly set out an agenda for future research. Design/methodology/approach This paper sourced the data from the science citation index expanded (SCI-expanded), the social sciences citation index (SSCI) and the arts and humanities citation index (A&H CI) databases. This research spanned references published in journals belonging to the categories of management, business and economics without any chronological filter. The search returned a total of 99 references with their dates of publication between 1995 (1 reference) and 2018 (7 references). Findings The results included the identification of three core approaches to this study field: SKM models and competitive advantage, SKM implementation and the Systematic SKM approach. Practical implications This current study seeks to undertake the mapping of the scientific publications, the intellectual structure and research trends in the SKM field to: identify the fundamental contributions to the SKM research field; determine the research pathways establishing its intellectual structure and the scientific journals with the greatest impact on the field and identify the SKM research field geographical distribution and its collaborative structure. Originality/value This study defines a roadmap for an informed research agenda that proposes multiple directions: the usage and development of an innovative theory that may open new paths for future research and theoretical construction; a more sophisticated understanding of the concept and its applicability; approaching the shortcomings interrelated with the content across different levels of analysis; and the application of relevant and appropriate methodologies for operationalizing SKM.

scholarly journals Knowledge management in franchising: a research agenda

2019 ◽  
Vol 23 (4) ◽  
pp. 763-785 ◽  
Author(s):  
Judith Jacob Iddy ◽  
Ilan Alon
Keyword(s):  
Knowledge Management ◽  
Web Of Science ◽  
Governance Structure ◽  
Future Research ◽  
Network Growth ◽  
Content Type ◽  
Performance Outcome ◽  
The Past ◽  
Research Domain

Purpose This paper aims to offer a comprehensive systematic review of knowledge management (KM) in franchising literature over the past 29 years. Design/methodology/approach By means of bibliometric citation analysis, ISI Web of Science (WoS) database is used to analyze articles from 1990-2018. A total of 169 articles by 369 authors across 40 countries published in 113 journals from 200 institutions were clustered and examined through HistCites and VOSviewer. Findings The exploration of KM in franchising is associated with 3 factors: governance structure; performance outcome; and franchise network growth. The findings also reveal that KM in franchising is still an emerging discipline encompassing conflicting results which offer potential for future research. Research limitations/implications Identified research gaps and contradicting views in the literature offer opportunities for researchers to contribute to this research domain by empirically testing the role of absorptive capacity, replication vs adaptation strategies and new franchising formats, such as micro/social franchising. Originality/value This study is unique in its examination of KM in franchising. It also highlights the value of knowledge in franchise chain performance.

Is organizational learning being absorbed by knowledge management? A systematic review

2018 ◽  
Vol 22 (2) ◽  
pp. 299-325 ◽  
Author(s):  
Delio Ignacio Castaneda ◽  
Luisa Fernanda Manrique ◽  
Sergio Cuellar
Keyword(s):  
Knowledge Management ◽  
Organizational Learning ◽  
Design Methodology ◽  
Web Of Science ◽  
Content Type ◽  
Isi Web Of Science ◽  
The Past ◽  
Search Terms ◽  
Nuclear Processes ◽  
Practical Implications

Purpose This paper aims to focus on research regarding organizational learning (OL) and knowledge management (KM), and to specifically investigate whether OL has been conceptually absorbed by KM. Design/methodology/approach This study is based on 16,185 articles from the Scopus and ISI Web of Science databases, using VantagePoint 10.0 software. The method used in this study is a systematic literature review covering KM and OL publications from the 1970s, when the OL field started to grow, up to 2016. Findings Nuclear processes of OL, creation and acquisition of knowledge, have been conceptually absorbed by KM literature in the past years. Research limitations/implications Only two databases have been considered, Scopus and ISI Web of Science, because of their academic prestige. However, these databases include a large number of articles on KM and OL. Search terms used could exclude some relevant terms, although all major descriptive terms have been included. Practical implications This paper identifies thematic clusters in KM and OL, evolution of both fields, most cited authors and representative journals by topic. Originality/value This is the first paper to jointly analyse the evolution of KM and OL. This paper shows a conceptual absorption of OL into KM, which may enrich academic discussion and also provide some clarity to the conceptualization of these two fields.

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