crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks

Braun, Germán; Giménez, Christian; Cecchi, Laura; Fillottrani, Pablo Rubén

doi:10.1007/s13218-020-00657-8

Cited by 4 publications

(6 citation statements)

References 21 publications

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“…A plethora of ontology visualizations exists, but VOWL appears to be the most prominent visualization with respect to practical use and user familiarity for several concepts related to RDF constraints. Combining findings of several surveys [1,3,17,28,30,42] and two works [8,22] presenting visualization tools, 84 ontology visualization tools were identified. Widoco [20], a widely used tool to create ontology documentations, uses WebVOWL [39] to visualize ontologies.…”

Section: Semantic Web Visualizationsmentioning

confidence: 99%

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Visual notations for viewing RDF constraints with UnSHACLed

Lieber

Meester

Heyvaert

et al. 2022

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The quality of knowledge graphs can be assessed by a validation against specified constraints, typically use-case specific and modeled by human users in a manual fashion. Visualizations can improve the modeling process as they are specifically designed for human information processing, possibly leading to more accurate constraints, and in turn higher quality knowledge graphs. However, it is currently unknown how such visualizations support users when viewing RDF constraints as no scientific evidence for the visualizations’ effectiveness is provided. Furthermore, some of the existing tools are likely suboptimal, as they lack support for edit operations or common constraints types. To establish a baseline, we have defined visual notations to represent RDF constraints and implemented them in UnSHACLed, a tool that is independent of a concrete RDF constraint language. In this paper, we (i) present two visual notations that support all SHACL core constraints, built upon the commonly used visualizations VOWL and UML, (ii) analyze both notations based on cognitive effective design principles, (iii) perform a comparative user study between both visual notations, and (iv) present our open source tool UnSHACLed incorporating our efforts. Users were presented RDF constraints in both visual notations and had to answer questions based on visualization task taxonomies. Although no statistical significant difference in mean error rates was observed, all study participants preferred ShapeVOWL in a self assessment to answer RDF constraint-related questions. Furthermore, ShapeVOWL adheres to more cognitive effective design principles according to our performed comparison. Study participants argued that the increased visual features of ShapeVOWL made it easier to spot constraints, but a list of constraints – as in ShapeUML – is easier to read. However, also that more deviations from the strict UML specification and introduction of more visual features can improve ShapeUML. From these findings we conclude that ShapeVOWL has a higher potential to represent RDF constraints more effective compared to ShapeUML. But also that the clear and efficient text encoding of ShapeUML can be improved with visual features. A one-size-fits-all approach to RDF constraint visualization and editing will be insufficient. Therefore, to support different audiences and use cases, user interfaces of RDF constraint editors need to support different visual notations.

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Section: Semantic Web Visualizationsmentioning

confidence: 99%

“…Addresses must only have values for the property postalAddress with an exception for rdf:type (7). Constraints of the ex:organizationShape are not considered for validation (8). ShapeVOWL also visualizes optional accompanying logos for constraint types (9).…”

Section: Visual Examplementioning

confidence: 99%

Visual notations for viewing RDF constraints with UnSHACLed

Lieber

Meester

Heyvaert

et al. 2022

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“…Based on these motivations, we have developed an open source graphical tool for designing ER VT temporal diagrams [2,4,5], named crowd-ER VT 5 and based on the architecture presented in [9]. The idea behinds the tool is: (i) to define a suitable abstraction level for temporal modelling tasks involving both users and the underlying methodologies of conceptual data modelling; and (ii) to understand better how logic-based knowledge representation systems can be integrated with visual languages in a tool.…”

Section: The Er Vt Web Toolmentioning

confidence: 99%

“…(1) the development of a non-trivial extension of the tool crowd [9] to draw temporal conceptual schemas, featuring an option to populate the schema with timestamped instances, which can be automatically mapped into TDL-Lite KBs;…”

Section: Introductionmentioning

confidence: 99%

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Automated Reasoning in Temporal DL-Lite

Tahrat,

Braun,

Artale

et al. 2020

Preprint

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This paper investigates the feasibility of automated reasoning over temporal DL-Lite (TDL-Lite) knowledge bases (KBs). We test the usage of off-the-shelf LTL reasoners to check satisfiability of TDL-Lite KBs. In particular, we test the robustness and the scalability of reasoners when dealing with TDL-Lite TBoxes paired with a temporal ABox. We conduct various experiments to analyse the performance of different reasoners by randomly generating TDL-Lite KBs and then measuring the running time and the size of the translations. Furthermore, in an effort to make the usage of TDL-Lite KBs a reality, we present a fully fledged tool with a graphical interface to design them. Our interface is based on conceptual modelling principles and it is integrated with our translation tool and a temporal reasoner.

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A framework for interoperability between models with hybrid tools

2022

Self Cite

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Complex system development and maintenance face the challenge of dealing with different types of models due to language affordances, preferences, sizes, and so forth that involve interaction between users with different levels of proficiency. Current conceptual data modelling tools do not fully support these modes of working. It requires that the interaction between multiple models in multiple languages is clearly specified to ensure they keep their intended semantics, which is lacking in extant tools. The key objective is to devise a mechanism to support semantic interoperability in hybrid tools for multi-modal modelling in a plurality of paradigms, all within one system. We propose FaCIL, a framework for such hybrid modelling tools. We design and realise the framework FaCIL, which maps UML, ER and ORM2 into a common metamodel with rules that provide the central point for management among the models and that links to the formalisation and logic-based automated reasoning. FaCIL supports the ability to represent models in different formats while preserving their semantics, and several editing workflows are supported within the framework. It has a clear separation of concerns for typical conceptual modelling activities in an interoperable and extensible way. FaCIL structures and facilitates the interaction between visual and textual conceptual models, their formal specifications, and abstractions as well as tracking and propagating updates across all the representations. FaCIL is compared against the requirements, implemented in crowd 2.0, and assessed with a use case. The proof-of-concept implementation in the web-based modelling tool crowd 2.0 demonstrates its viability. The framework also meets the requirements and fully supports the use case.

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crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks

Cited by 4 publications

References 21 publications

Visual notations for viewing RDF constraints with UnSHACLed

Visual notations for viewing RDF constraints with UnSHACLed

Automated Reasoning in Temporal DL-Lite

A framework for interoperability between models with hybrid tools

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