UML Style Graphical Notation and Editor for OWL 2

Barzdins, Janis; Bārzdiņš, Guntis; Čerāns, Kārlis; Liepins, Renars; Sprogis, Arturs

doi:10.1007/978-3-642-16101-8_9

Cited by 41 publications

(8 citation statements)

References 2 publications

(1 reference statement)

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“…Finally, the concepts for class properties are different in the two technologies: while each class in UML is the single owner of its attributes and associations, properties are individual concepts and globally defined in OWL, and may be assigned to any class. Despite the differences between UML and OWL, some effort has been put in developing UML profiles for applying UML as a tool for OWL ontology development [49][50][51][52][53][54][55][56][57][58][59][60][61]. The motivation has been to exploit the standardized graphical notation in UML-which is very useful for human communication.…”

Section: Comparing Uml and Owlmentioning

confidence: 99%

“…Semantics for linking UML attributes to externally defined OWL properties were suggested in [44], while OGC Testbed 12 discussed and implemented conversion rules in ShapeChange, based on specific tagged values. The UML profiles for OWL described in [49][50][51][52][53][54][55][56][57][58][59][60][61] specified how UML could be used to develop RDF and OWL ontologies specifically. However, the profiles differ significantly from the profile in ISO 19103 and cannot be applied to models according to ISO/TC 211 standards.…”

Section: Semantics In Uml Models For Implementation As Owl Ontologiesmentioning

confidence: 99%

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Adapted Rules for UML Modelling of Geospatial Information for Model-Driven Implementation as OWL Ontologies

Jetlund

Onstein

Huang

2019

IJGI

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This study aims to improve the implementation of models of geospatial information in Web Ontology Language (OWL). Large amounts of geospatial information are maintained in Geographic Information Systems (GIS) based on models according to the Unified Modeling Language (UML) and standards from ISO/TC 211 and the Open Geospatial Consortium (OGC). Sharing models and geospatial information in the Semantic Web will increase the usability and value of models and information, as well as enable linking with spatial and non-spatial information from other domains. Methods for conversion from UML to OWL for basic concepts used in models of geospatial information have been studied and evaluated. Primary conversion challenges have been identified with specific attention to whether adapted rules for UML modelling could contribute to improved conversions. Results indicated that restrictions related to abstract classes, unions, compositions and code lists in UML are challenging in the Open World Assumption (OWA) on which OWL is based. Two conversion challenges are addressed by adding more semantics to UML models: global properties and reuse of external concepts. The proposed solution is formalized in a UML profile supported by rules and recommendations and demonstrated with a UML model based on the Intelligent Transport Systems (ITS) standard ISO 14825 Geographic Data Files (GDF). The scope of the resulting ontology will determine to what degree the restrictions shall be maintained in OWL, and different conversion methods are needed for different scopes.

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Section: Comparing Uml and Owlmentioning

confidence: 99%

Section: Semantics In Uml Models For Implementation As Owl Ontologiesmentioning

confidence: 99%

Adapted Rules for UML Modelling of Geospatial Information for Model-Driven Implementation as OWL Ontologies

Jetlund

Onstein

Huang

2019

IJGI

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“…There are numerous editors for UML diagrams, but as conventional UML editors cannot read and visualize OWL files, special ontology editors or plugins for UML editors have been developed. Examples include OWLGrEd [4], Visual Ontology Modeler (VOM) [57], and TopBraid Composer [96].…”

Section: Uml-based Ontology Visualizationsmentioning

confidence: 99%

Visualizing ontologies with VOWL

et al. 2016

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The Visual Notation for OWL Ontologies (VOWL) is a well-specified visual language for the user-oriented representation of ontologies. It defines graphical depictions for most elements of the Web Ontology Language (OWL) that are combined to a force-directed graph layout visualizing the ontology. In contrast to related work, VOWL aims for an intuitive and comprehensive representation that is also understandable to users less familiar with ontologies. This article presents VOWL in detail and describes its implementation in two different tools: ProtégéVOWL and WebVOWL. The first is a plugin for the ontology editor Protégé, the second a standalone web application. Both tools demonstrate the applicability of VOWL by means of various ontologies. In addition, the results of three user studies that evaluate the comprehensibility and usability of VOWL are summarized. They are complemented by findings from an interview with experienced ontology users and from testing the visual scope and completeness of VOWL with a benchmark ontology. The evaluations helped to improve VOWL and confirm that it produces comparatively intuitive and comprehensible ontology visualizations.

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“…The OWLGrEd notation [2] is a compact and complete UML-style notation for OWL 2 ontologies. It relies on Manchester OWL Syntax [8] for certain class expressions.…”

Section: Overview Of the Owlgred Notationmentioning

confidence: 99%

“…We refer to [2,1] for a more detailed explanation of the OWLGrEd notation and editor, as well as the principles of its visual extensions [4].…”

Section: Mandatorycourse Subclassof Inverse Teaches Only Professormentioning

confidence: 99%

Towards Self-explanatory Ontology Visualization with Contextual Verbalization

Liepins

Bojārs

Grūzītis

et al. 2016

Communications in Computer and Information Science

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Abstract. Ontologies are one of the core foundations of the Semantic Web. To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, the users first need to learn the visual notation before they can interpret it correctly. Controlled natural language representation would be readable right away and might be preferred in case of complex axioms, however, the structure of the ontology would remain less apparent. We propose to combine ontology visualizations with contextual ontology verbalizations of selected ontology (diagram) elements, displaying controlled natural language (CNL) explanations of OWL axioms corresponding to the selected visual notation elements. Thus, the domain experts will benefit from both the high-level overview provided by the graphical notation and the detailed textual explanations of particular elements in the diagram.

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UML Style Graphical Notation and Editor for OWL 2

Cited by 41 publications

References 2 publications

Adapted Rules for UML Modelling of Geospatial Information for Model-Driven Implementation as OWL Ontologies

Adapted Rules for UML Modelling of Geospatial Information for Model-Driven Implementation as OWL Ontologies

Visualizing ontologies with VOWL

Towards Self-explanatory Ontology Visualization with Contextual Verbalization

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