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Volumen 6 (2021): Edición 4 (November 2021)

Volumen 6 (2021): Edición 3 (June 2021)

Volumen 6 (2021): Edición 2 (April 2021)

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Volumen 5 (2020): Edición 4 (November 2020)

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Volumen 5 (2020): Edición 2 (April 2020)

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Volumen 4 (2019): Edición 3 (August 2019)

Volumen 4 (2019): Edición 2 (May 2019)

Volumen 4 (2019): Edición 1 (February 2019)

Volumen 3 (2018): Edición 4 (November 2018)

Volumen 3 (2018): Edición 3 (August 2018)

Volumen 3 (2018): Edición 2 (May 2018)

Volumen 3 (2018): Edición 1 (February 2018)

Volumen 2 (2017): Edición 4 (December 2017)

Volumen 2 (2017): Edición 3 (August 2017)

Volumen 2 (2017): Edición 2 (May 2017)

Volumen 2 (2017): Edición 1 (February 2017)

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Volumen 1 (2016): Edición 2 (May 2016)

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Detalles de la revista
Formato
Revista
eISSN
2543-683X
Publicado por primera vez
30 Mar 2017
Periodo de publicación
4 veces al año
Idiomas
Inglés

Buscar

Volumen 2 (2017): Edición 2 (May 2017)

Detalles de la revista
Formato
Revista
eISSN
2543-683X
Publicado por primera vez
30 Mar 2017
Periodo de publicación
4 veces al año
Idiomas
Inglés

Buscar

5 Artículos

Expert Review

Acceso abierto

Science Mapping: A Systematic Review of the Literature

Publicado en línea: 21 Mar 2017
Páginas: 1 - 40

Resumen

AbstractPurpose

We present a systematic review of the literature concerning major aspects of science mapping to serve two primary purposes: First, to demonstrate the use of a science mapping approach to perform the review so that researchers may apply the procedure to the review of a scientific domain of their own interest, and second, to identify major areas of research activities concerning science mapping, intellectual milestones in the development of key specialties, evolutionary stages of major specialties involved, and the dynamics of transitions from one specialty to another.

Design/methodology/approach

We first introduce a theoretical framework of the evolution of a scientific specialty. Then we demonstrate a generic search strategy that can be used to construct a representative dataset of bibliographic records of a domain of research. Next, progressively synthesized co-citation networks are constructed and visualized to aid visual analytic studies of the domain’s structural and dynamic patterns and trends. Finally, trajectories of citations made by particular types of authors and articles are presented to illustrate the predictive potential of the analytic approach.

Findings

The evolution of the science mapping research involves the development of a number of interrelated specialties. Four major specialties are discussed in detail in terms of four evolutionary stages: conceptualization, tool construction, application, and codification. Underlying connections between major specialties are also explored. The predictive analysis demonstrates citations trajectories of potentially transformative contributions.

Research limitations

The systematic review is primarily guided by citation patterns in the dataset retrieved from the literature. The scope of the data is limited by the source of the retrieval, i.e. the Web of Science, and the composite query used. An iterative query refinement is possible if one would like to improve the data quality, although the current approach serves our purpose adequately. More in-depth analyses of each specialty would be more revealing by incorporating additional methods such as citation context analysis and studies of other aspects of scholarly publications.

Practical implications

The underlying analytic process of science mapping serves many practical needs, notably bibliometric mapping, knowledge domain visualization, and visualization of scientific literature. In order to master such a complex process of science mapping, researchers often need to develop a diverse set of skills and knowledge that may span multiple disciplines. The approach demonstrated in this article provides a generic method for conducting a systematic review.

Originality/value

Incorporating the evolutionary stages of a specialty into the visual analytic study of a research domain is innovative. It provides a systematic methodology for researchers to achieve a good understanding of how scientific fields evolve, to recognize potentially insightful patterns from visually encoded signs, and to synthesize various information so as to capture the state of the art of the domain.

Palabras clave

  • Science mapping
  • Knowledge domain visualization
  • Domain analysis
  • Systematic review
  • CiteSpace

Research Paper

Acceso abierto

Seeking Health Information Online: The Moderating Effects of Problematic Situations on User Intention

Publicado en línea: 21 Mar 2017
Páginas: 76 - 95

Resumen

AbstractPurpose

This study investigates how online user intention in searching health information is affected by problematic situations.

Design/methodology/approach

Based on the Theory of Reasoned Action, the Technology Acceptance Model, and Sense-making theory, we propose two dimensions of problematic situations: urgency and severity of health issues being searched online. Data were collected through a questionnaire survey among 214 Wuhan University students and analyzed using hierarchical regression analysis.

Findings

Perceived usefulness, perceived ease of use, and subjective norm can influence user intention to seek health information online. The urgency of problematic situations has a negative moderating effect on the relationship between perceived ease of use and user intention and the relationship between subjective norm and user intention. The severity of problematic situations has a negative moderating effect on the relationship between subjective norm and user intention.

Research limitations

The respondents of the survey are limited to students in one Chinese university, so whether this study’s results can be applied to another population or not remains to be verified. In addition, only two dimensions of problematic situations are considered in this study.

Practical implications

The paper puts forward the moderating effect of problematic situations and verifies it, which is the compensation for online health information-seeking behavior research. Besides, our analyses have implications for professional design of health care systems and related consumer information searches, and improve their performance.

Originality/value

Previous work has reported the effects of problematic situation on user intention to seek health information online, ignoring its influence on other factors. This empirical study extends that work to identify the influence of problematic situation when seeking intention-behavior data in two dimensions, urgency and severity.

Palabras clave

  • Health information seeking
  • Situation
  • Moderating effect
  • Urgency
  • Severity
Acceso abierto

Enhancing Navigability: An Algorithm for Constructing Tag Trees

Publicado en línea: 21 Mar 2017
Páginas: 56 - 75

Resumen

AbstractPurpose

This study introduces an algorithm to construct tag trees that can be used as a user-friendly navigation tool for knowledge sharing and retrieval by solving two issues of previous studies, i.e. semantic drift and structural skew.

Design/methodology/approach

Inspired by the generality based methods, this study builds tag trees from a co-occurrence tag network and uses the h-degree as a node generality metric. The proposed algorithm is characterized by the following four features: (1) the ancestors should be more representative than the descendants, (2) the semantic meaning along the ancestor-descendant paths needs to be coherent, (3) the children of one parent are collectively exhaustive and mutually exclusive in describing their parent, and (4) tags are roughly evenly distributed to their upper-level parents to avoid structural skew.

Findings

The proposed algorithm has been compared with a well-established solution Heymann Tag Tree (HTT). The experimental results using a social tag dataset showed that the proposed algorithm with its default condition outperformed HTT in precision based on Open Directory Project (ODP) classification. It has been verified that h-degree can be applied as a better node generality metric compared with degree centrality.

Research limitations

A thorough investigation into the evaluation methodology is needed, including user studies and a set of metrics for evaluating semantic coherence and navigation performance.

Practical implications

The algorithm will benefit the use of digital resources by generating a flexible domain knowledge structure that is easy to navigate. It could be used to manage multiple resource collections even without social annotations since tags can be keywords created by authors or experts, as well as automatically extracted from text.

Originality/value

Few previous studies paid attention to the issue of whether the tagging systems are easy to navigate for users. The contributions of this study are twofold: (1) an algorithm was developed to construct tag trees with consideration given to both semantic coherence and structural balance and (2) the effectiveness of a node generality metric, h-degree, was investigated in a tag co-occurrence network.

Palabras clave

  • Semantic coherence
  • Structural balance
  • Tag tree
  • Resources navigation
  • Algorithm
Acceso abierto

Provenance Description of Metadata Vocabularies for the Long-term Maintenance of Metadata

Publicado en línea: 21 Mar 2017
Páginas: 41 - 55

Resumen

AbstractPurpose

The purpose of this paper is to discuss provenance description of metadata terms and metadata vocabularies as a set of metadata terms. Provenance is crucial information to keep track of changes of metadata terms and metadata vocabularies for their consistent maintenance.

Design/methodology/approach

The W3C PROV standard for general provenance description and Resource Description Framework (RDF) are adopted as the base models to formally define provenance description for metadata vocabularies.

Findings

This paper defines a few primitive change types of metadata terms, and a provenance description model of the metadata terms based on the primitive change types. We also provide examples of provenance description in RDF graphs to show the proposed model.

Research limitations

The model proposed in this paper is defined based on a few primitive relationships (e.g. addition, deletion, and replacement) between pre-version and post-version of a metadata term. The model is simplified and the practical changes of metadata terms can be more complicated than the primitive relationships discussed in the model.

Practical implications

Formal provenance description of metadata vocabularies can improve maintainability of metadata vocabularies over time. Conventional maintenance of metadata terms is the maintenance of documents of terms. The proposed model enables effective and automated tracking of change history of metadata vocabularies using simple formal description scheme defined based on widely-used standards.

Originality/value

Changes in metadata vocabularies may cause inconsistencies in the longterm use of metadata. This paper proposes a simple and formal scheme of provenance description of metadata vocabularies. The proposed model works as the basis of automated maintenance of metadata terms and their vocabularies and is applicable to various types of changes.

Palabras clave

  • Metadata maintenance
  • Metadata vocabulary
  • Metadata term
  • Metadata provenance
  • Metadata longevity

News

5 Artículos

Expert Review

Acceso abierto

Science Mapping: A Systematic Review of the Literature

Publicado en línea: 21 Mar 2017
Páginas: 1 - 40

Resumen

AbstractPurpose

We present a systematic review of the literature concerning major aspects of science mapping to serve two primary purposes: First, to demonstrate the use of a science mapping approach to perform the review so that researchers may apply the procedure to the review of a scientific domain of their own interest, and second, to identify major areas of research activities concerning science mapping, intellectual milestones in the development of key specialties, evolutionary stages of major specialties involved, and the dynamics of transitions from one specialty to another.

Design/methodology/approach

We first introduce a theoretical framework of the evolution of a scientific specialty. Then we demonstrate a generic search strategy that can be used to construct a representative dataset of bibliographic records of a domain of research. Next, progressively synthesized co-citation networks are constructed and visualized to aid visual analytic studies of the domain’s structural and dynamic patterns and trends. Finally, trajectories of citations made by particular types of authors and articles are presented to illustrate the predictive potential of the analytic approach.

Findings

The evolution of the science mapping research involves the development of a number of interrelated specialties. Four major specialties are discussed in detail in terms of four evolutionary stages: conceptualization, tool construction, application, and codification. Underlying connections between major specialties are also explored. The predictive analysis demonstrates citations trajectories of potentially transformative contributions.

Research limitations

The systematic review is primarily guided by citation patterns in the dataset retrieved from the literature. The scope of the data is limited by the source of the retrieval, i.e. the Web of Science, and the composite query used. An iterative query refinement is possible if one would like to improve the data quality, although the current approach serves our purpose adequately. More in-depth analyses of each specialty would be more revealing by incorporating additional methods such as citation context analysis and studies of other aspects of scholarly publications.

Practical implications

The underlying analytic process of science mapping serves many practical needs, notably bibliometric mapping, knowledge domain visualization, and visualization of scientific literature. In order to master such a complex process of science mapping, researchers often need to develop a diverse set of skills and knowledge that may span multiple disciplines. The approach demonstrated in this article provides a generic method for conducting a systematic review.

Originality/value

Incorporating the evolutionary stages of a specialty into the visual analytic study of a research domain is innovative. It provides a systematic methodology for researchers to achieve a good understanding of how scientific fields evolve, to recognize potentially insightful patterns from visually encoded signs, and to synthesize various information so as to capture the state of the art of the domain.

Palabras clave

  • Science mapping
  • Knowledge domain visualization
  • Domain analysis
  • Systematic review
  • CiteSpace

Research Paper

Acceso abierto

Seeking Health Information Online: The Moderating Effects of Problematic Situations on User Intention

Publicado en línea: 21 Mar 2017
Páginas: 76 - 95

Resumen

AbstractPurpose

This study investigates how online user intention in searching health information is affected by problematic situations.

Design/methodology/approach

Based on the Theory of Reasoned Action, the Technology Acceptance Model, and Sense-making theory, we propose two dimensions of problematic situations: urgency and severity of health issues being searched online. Data were collected through a questionnaire survey among 214 Wuhan University students and analyzed using hierarchical regression analysis.

Findings

Perceived usefulness, perceived ease of use, and subjective norm can influence user intention to seek health information online. The urgency of problematic situations has a negative moderating effect on the relationship between perceived ease of use and user intention and the relationship between subjective norm and user intention. The severity of problematic situations has a negative moderating effect on the relationship between subjective norm and user intention.

Research limitations

The respondents of the survey are limited to students in one Chinese university, so whether this study’s results can be applied to another population or not remains to be verified. In addition, only two dimensions of problematic situations are considered in this study.

Practical implications

The paper puts forward the moderating effect of problematic situations and verifies it, which is the compensation for online health information-seeking behavior research. Besides, our analyses have implications for professional design of health care systems and related consumer information searches, and improve their performance.

Originality/value

Previous work has reported the effects of problematic situation on user intention to seek health information online, ignoring its influence on other factors. This empirical study extends that work to identify the influence of problematic situation when seeking intention-behavior data in two dimensions, urgency and severity.

Palabras clave

  • Health information seeking
  • Situation
  • Moderating effect
  • Urgency
  • Severity
Acceso abierto

Enhancing Navigability: An Algorithm for Constructing Tag Trees

Publicado en línea: 21 Mar 2017
Páginas: 56 - 75

Resumen

AbstractPurpose

This study introduces an algorithm to construct tag trees that can be used as a user-friendly navigation tool for knowledge sharing and retrieval by solving two issues of previous studies, i.e. semantic drift and structural skew.

Design/methodology/approach

Inspired by the generality based methods, this study builds tag trees from a co-occurrence tag network and uses the h-degree as a node generality metric. The proposed algorithm is characterized by the following four features: (1) the ancestors should be more representative than the descendants, (2) the semantic meaning along the ancestor-descendant paths needs to be coherent, (3) the children of one parent are collectively exhaustive and mutually exclusive in describing their parent, and (4) tags are roughly evenly distributed to their upper-level parents to avoid structural skew.

Findings

The proposed algorithm has been compared with a well-established solution Heymann Tag Tree (HTT). The experimental results using a social tag dataset showed that the proposed algorithm with its default condition outperformed HTT in precision based on Open Directory Project (ODP) classification. It has been verified that h-degree can be applied as a better node generality metric compared with degree centrality.

Research limitations

A thorough investigation into the evaluation methodology is needed, including user studies and a set of metrics for evaluating semantic coherence and navigation performance.

Practical implications

The algorithm will benefit the use of digital resources by generating a flexible domain knowledge structure that is easy to navigate. It could be used to manage multiple resource collections even without social annotations since tags can be keywords created by authors or experts, as well as automatically extracted from text.

Originality/value

Few previous studies paid attention to the issue of whether the tagging systems are easy to navigate for users. The contributions of this study are twofold: (1) an algorithm was developed to construct tag trees with consideration given to both semantic coherence and structural balance and (2) the effectiveness of a node generality metric, h-degree, was investigated in a tag co-occurrence network.

Palabras clave

  • Semantic coherence
  • Structural balance
  • Tag tree
  • Resources navigation
  • Algorithm
Acceso abierto

Provenance Description of Metadata Vocabularies for the Long-term Maintenance of Metadata

Publicado en línea: 21 Mar 2017
Páginas: 41 - 55

Resumen

AbstractPurpose

The purpose of this paper is to discuss provenance description of metadata terms and metadata vocabularies as a set of metadata terms. Provenance is crucial information to keep track of changes of metadata terms and metadata vocabularies for their consistent maintenance.

Design/methodology/approach

The W3C PROV standard for general provenance description and Resource Description Framework (RDF) are adopted as the base models to formally define provenance description for metadata vocabularies.

Findings

This paper defines a few primitive change types of metadata terms, and a provenance description model of the metadata terms based on the primitive change types. We also provide examples of provenance description in RDF graphs to show the proposed model.

Research limitations

The model proposed in this paper is defined based on a few primitive relationships (e.g. addition, deletion, and replacement) between pre-version and post-version of a metadata term. The model is simplified and the practical changes of metadata terms can be more complicated than the primitive relationships discussed in the model.

Practical implications

Formal provenance description of metadata vocabularies can improve maintainability of metadata vocabularies over time. Conventional maintenance of metadata terms is the maintenance of documents of terms. The proposed model enables effective and automated tracking of change history of metadata vocabularies using simple formal description scheme defined based on widely-used standards.

Originality/value

Changes in metadata vocabularies may cause inconsistencies in the longterm use of metadata. This paper proposes a simple and formal scheme of provenance description of metadata vocabularies. The proposed model works as the basis of automated maintenance of metadata terms and their vocabularies and is applicable to various types of changes.

Palabras clave

  • Metadata maintenance
  • Metadata vocabulary
  • Metadata term
  • Metadata provenance
  • Metadata longevity

News

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