Graphically structured icons for knowledge tagging

Ma, Xiaoyue; Cahier, Jean-Pierre

doi:10.1177/0165551514542388

Cited by 7 publications

(9 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…VDL-based iconic tags are a new approach to tag visualization (Ma and Cahier, 2014b). The core idea is visualizing both the content of a single tag and the structure of a set of tags (Bertin, 2011).…”

Section: Vdl-based Iconic Tcsmentioning

confidence: 99%

Comparative study of graphic-based tag clouds: theory and experimental evaluation for information search

2020

OIR

Self Cite

View full text Add to dashboard Cite

PurposeGraphic-based tag clouds aim to visually represent tag content and tag structure, and then to better represent tagged information for later search. However, few studies have clarified the features among varied visualization approaches involved in graphic-based tag clouds and compared them for the purpose of information search.Design/methodology/approachAfter reviewing four kinds of graphic-based tag clouds, an experimental demonstration was conducted in our study to verify how user performs in information search for a general seeking task by using them. Precision ratio, recall ratio, clicks on search and time for search were four variables tested in the experiment. Also, two supplementary tests were respectively carried out to manifest how graphic-based tag clouds contributed to the identification of target tags and tag clusters.FindingsThe experimental results showed that compared to tag content visual tag structure was more important to find related tags from tag clouds for information search. In addition, tag clouds that visually represented the semantic relationships within tags could make user more confident about their search result and carry out a shorter learning process during searching, which signified a tag-based information search path when visual elements were applied.Originality/valueThis research is one of the first to illustrate systematically the graphic-based tag clouds and their impacts on information search. The research findings could suggest on how to build up more effective and interactive tag clouds and make proposition for the design of search user interface by using graphic-based tag clouds.

show abstract

Section: Vdl-based Iconic Tcsmentioning

confidence: 99%

Comparative study of graphic-based tag clouds: theory and experimental evaluation for information search

2020

OIR

Self Cite

View full text Add to dashboard Cite

show abstract

“…Based on the current textual tag representation situation, two methods could be used to better explicate the tag structure. One was making use of ontology to cluster social tags (Zervas and Sampson, 2014), and another was applying visual tools to imply the relationship between tags (Ma and Cahier, 2014b).…”

Section: Literature Backgroundmentioning

confidence: 99%

“…VDL-based iconic tags (VDL stands for Visual Distinctive Language) are well-structured icons that solve the representation problems of textual tags (Ma and Cahier, 2014b). These special tags apply symbols to signify tag content and use graphical codes to visualize semantic structure of tags.…”

Section: Introductionmentioning

confidence: 99%

“…These special tags apply symbols to signify tag content and use graphical codes to visualize semantic structure of tags. Experimental results previously demonstrated that VDL-based iconic tags have more information-tagging advantages compared with textual tags (Ma and Cahier, 2014a) (Ma and Cahier, 2014b). However, as a critical criterion to evaluate a tagging method, the way VDL-based iconic tags are used for information searching has not been described in former studies.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Information search by applying VDL-based iconic tags: an experimental study

Xue

Zhang

et al. 2019

Self Cite

View full text Add to dashboard Cite

Purpose Visual Distinctive Language (VDL)-based iconic tags are structured visual information annotation. They explicate the content and organization of tagged information by graphical and symbolic features in order to improve the vocabulary problems of textual tags. The purpose of this paper is to investigate how these special icons help in tagged-based user information searching. Design/methodology/approach A two-stage experiment was designed and conducted so as to follow and quantify the searching process in specific searching target case and no specific searching target case when using VDL-based iconic tags. Findings The experimental results manifested that VDL-based iconic tags enhanced the role of tag in information searching. They could make user better understand tag clusters, which, in turn, provide global structure of involved topics. Also, VDL-based iconic tags helped user to find out searching target more quickly with higher accuracy by taking advantages of visual representation of tag categories and symbolic signification of tag content. Originality/value This study is one of the first to verify how structured icons work in information searching and how user’s graphical cognition impacts on tag-based information searching process. The research findings are dedicated to the theory of VDL-based iconic tags, as well as to a new visualization method for search user interface design.

show abstract

“…In this case, the solution consists in the design of an iconic language with a proper syntax and semantics. It allows the generation of numerous icons by the combination of a limited number of components, such as colors or pictograms, and it can also improve the interpretation of icons [2].…”

Section: Introductionmentioning

confidence: 99%

Formalization of the semantics of iconic languages: An ontology-based method and four semantic-powered applications

Lamy

Soualmia

2017

Knowledge-Based Systems

View full text Add to dashboard Cite

International audienceIconic languages can represent concepts by the combination of graphical components (such as colors or pictograms). There are numerous examples, from traffic signs to computer user interface icons. However, these languages do not associate formalized semantics to their icons, which raises various problems: inconsistent combinations of graphical components, different interpretations of a given icon by two persons, difficulties to map the icons to the concepts of existing termino-ontological resources, etc. In this article, we describe a method that formalizes the semantics of an iconic language with an ontology. This method was initially developed for the VCM iconic language (Visualization of Concepts in Medicine), which enables to represent the main medical concepts (antecedents, disorders, treatments, etc.) by icons. We show that it can be generalized to other iconic languages, including traffic signs. We also describe four practical applications made possible by the formalization of the language semantics: the verification of icons consistency, the semi-automatic alignment with terminologies, the automatic generation of a pictogram lexicon and the automatic generation of icon labels. The article also presents the VCM ontology, the implementation details of a semantic iconic server with fast response times, and the evaluation results obtained when evaluating the four applications

show abstract

Graphically structured icons for knowledge tagging

Cited by 7 publications

References 49 publications

Comparative study of graphic-based tag clouds: theory and experimental evaluation for information search

Comparative study of graphic-based tag clouds: theory and experimental evaluation for information search

Information search by applying VDL-based iconic tags: an experimental study

Formalization of the semantics of iconic languages: An ontology-based method and four semantic-powered applications

Contact Info

Product

Resources

About