A Method of Visual Presentation of Data Schemas

Lelde Lāce; Aiga Romāne; Mikus Grasmanis; Kārlis Čerāns

A Method of Visual Presentation of Data Schemas

Lelde Lāce
, Aiga Romāne
, Mikus Grasmanis
, Kārlis Čerāns

University of Latvia

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

We describe and demonstrate a method of automated creation of refined visualizations of Linked data endpoint schemas, based on their pre-computed structure information. The visualization uses UML class diagram style structure with classes, associations, and attributes, as well as subclass structure. Due to the pre-computed nature of the data schemas, visualization can avoid repeating the subclass properties and links at a superclass level and present parts of larger data schemas in a compact and conceivable way.

Original language	English
Pages (from-to)	57-62
Number of pages	6
Journal	CEUR Workshop Proceedings
Volume	3508
Publication status	Published - 2023
Externally published	Yes
Event	8th International Workshop on the Visualization and Interaction for Ontologies, Linked Data and Knowledge Graphs, VOILA! 2023 - Athens, Greece Duration: 6 Nov 2023 → …

Keywords

Linked data endpoint schema
UML class diagrams
Visual schema

Cite this

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title = "A Method of Visual Presentation of Data Schemas",

abstract = "We describe and demonstrate a method of automated creation of refined visualizations of Linked data endpoint schemas, based on their pre-computed structure information. The visualization uses UML class diagram style structure with classes, associations, and attributes, as well as subclass structure. Due to the pre-computed nature of the data schemas, visualization can avoid repeating the subclass properties and links at a superclass level and present parts of larger data schemas in a compact and conceivable way.",

keywords = "Linked data endpoint schema, UML class diagrams, Visual schema",

author = "Lelde Lāce and Aiga Romāne and Mikus Grasmanis and Kārlis {\v C}erāns",

note = "Publisher Copyright: {\textcopyright} 2023 Copyright for this paper by its authors.; 8th International Workshop on the Visualization and Interaction for Ontologies, Linked Data and Knowledge Graphs, VOILA! 2023 ; Conference date: 06-11-2023",

year = "2023",

language = "English",

volume = "3508",

pages = "57--62",

journal = "CEUR Workshop Proceedings",

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TY - JOUR

T1 - A Method of Visual Presentation of Data Schemas

AU - Lāce, Lelde

AU - Romāne, Aiga

AU - Grasmanis, Mikus

AU - Čerāns, Kārlis

PY - 2023

Y1 - 2023

N2 - We describe and demonstrate a method of automated creation of refined visualizations of Linked data endpoint schemas, based on their pre-computed structure information. The visualization uses UML class diagram style structure with classes, associations, and attributes, as well as subclass structure. Due to the pre-computed nature of the data schemas, visualization can avoid repeating the subclass properties and links at a superclass level and present parts of larger data schemas in a compact and conceivable way.

AB - We describe and demonstrate a method of automated creation of refined visualizations of Linked data endpoint schemas, based on their pre-computed structure information. The visualization uses UML class diagram style structure with classes, associations, and attributes, as well as subclass structure. Due to the pre-computed nature of the data schemas, visualization can avoid repeating the subclass properties and links at a superclass level and present parts of larger data schemas in a compact and conceivable way.

KW - Linked data endpoint schema

KW - UML class diagrams

KW - Visual schema

UR - https://www.scopus.com/pages/publications/85175701403

M3 - Conference article

AN - SCOPUS:85175701403

SN - 1613-0073

VL - 3508

SP - 57

EP - 62

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 8th International Workshop on the Visualization and Interaction for Ontologies, Linked Data and Knowledge Graphs, VOILA! 2023

Y2 - 6 November 2023

ER -

A Method of Visual Presentation of Data Schemas

Abstract

Keywords

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