In this paper, we describe the hypothesis and the design of an empirical study to investigate the... more In this paper, we describe the hypothesis and the design of an empirical study to investigate the impact of adopting an ontology-driven modularization (ODM) technique and an ontology-neutral modularization (ONM) technique on the comprehension of the resulting modules of the conceptual model. More specifically, we intend to measure the impact of these modularization techniques on the comprehension and understandability of the modules by novice modelers – a category of users that greatly benefit from such modularization techniques. While much effort in ontology-driven modularization has been devoted into maintaining the semantic aspects of the original conceptual model during the modularization process, this research effort aims to contribute by performing an empirical validation of such techniques. Since little empirical research has yet been conducted in this area, we plan to perform an experimental study in order to capture the differences between adopting an ontology-driven modula...
2019 13th International Conference on Research Challenges in Information Science (RCIS), 2019
In recent years, there has been a growth in the use of reference conceptual models to capture inf... more In recent years, there has been a growth in the use of reference conceptual models to capture information about complex and critical domains. However, as the complexity of domain increases, so does the size and complexity of the models that represent them. Over the years, different techniques for complexity management in large conceptual models have been developed. In particular, several authors have proposed different techniques for model abstraction. In this paper, we leverage on the ontologically well-founded semantics of the modeling language OntoUML to propose a novel approach for model abstraction in conceptual models. We provide a precise definition for a set of Graph-Rewriting rules that can automatically produce much-reduced versions of OntoUML models that concentrate the models’ information content around the ontologically essential types in that domain, i.e., the so-called Kinds. The approach has been implemented using a model-based editor and tested over a repository of ...
... de Informática Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) Rio de JaneiroRJ... more ... de Informática Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) Rio de JaneiroRJBrasil {gfigueiredo, acosta, lucena, casanova}@ inf. ... CASANOVA, MA; BREITMAN, Karin Koogan; BRAUNER, Daniela F.; Marins, A..(2007) Database Conceptual Schema Matching ...
—In recent years, there has been a growth in the use of reference conceptual models, in general, ... more —In recent years, there has been a growth in the use of reference conceptual models, in general, and domain ontologies, in particular, to capture information about complex and critical domains. These models play a fundamental role in different types of critical semantic interoperability tasks. Therefore, it is essential that domain experts are able to understand and reason using the models' content. In other words, it is important that conceptual models are cognitively tractable. However, it is unavoidable that when the information of the represented domain grows, so does the size and complexity of the artifacts and models that represent them. For this reason, more sophisticated techniques for complexity management in ontology-driven conceptual models, need to be developed. Some approaches are based on the notion of model modularization. In this paper, we follow the work on model modularization to present an approach for view extraction for the ontology-driven conceptual modeling language OntoUML. We provide a formal definition for ontological views over OntoUML conceptual models that completely leverages on the ontologically well-grounded real-world semantics of that language. Moreover, we present a plug-in tool, particularly developed for an OntoUML model-based editor that implements this formal view structure in terms of queries defined over the OntoUML metamodel embedded in that tool.
In this paper, we describe the hypothesis and the design of an empirical study to investigate the... more In this paper, we describe the hypothesis and the design of an empirical study to investigate the impact of adopting an ontology-driven modularization (ODM) technique and an ontology-neutral modularization (ONM) technique on the comprehension of the resulting modules of the conceptual model. More specifically, we intend to measure the impact of these modularization techniques on the comprehension and understandability of the modules by novice modelers – a category of users that greatly benefit from such modularization techniques. While much effort in ontology-driven modularization has been devoted into maintaining the semantic aspects of the original conceptual model during the modularization process, this research effort aims to contribute by performing an empirical validation of such techniques. Since little empirical research has yet been conducted in this area, we plan to perform an experimental study in order to capture the differences between adopting an ontology-driven modula...
2019 13th International Conference on Research Challenges in Information Science (RCIS), 2019
In recent years, there has been a growth in the use of reference conceptual models to capture inf... more In recent years, there has been a growth in the use of reference conceptual models to capture information about complex and critical domains. However, as the complexity of domain increases, so does the size and complexity of the models that represent them. Over the years, different techniques for complexity management in large conceptual models have been developed. In particular, several authors have proposed different techniques for model abstraction. In this paper, we leverage on the ontologically well-founded semantics of the modeling language OntoUML to propose a novel approach for model abstraction in conceptual models. We provide a precise definition for a set of Graph-Rewriting rules that can automatically produce much-reduced versions of OntoUML models that concentrate the models’ information content around the ontologically essential types in that domain, i.e., the so-called Kinds. The approach has been implemented using a model-based editor and tested over a repository of ...
... de Informática Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) Rio de JaneiroRJ... more ... de Informática Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) Rio de JaneiroRJBrasil {gfigueiredo, acosta, lucena, casanova}@ inf. ... CASANOVA, MA; BREITMAN, Karin Koogan; BRAUNER, Daniela F.; Marins, A..(2007) Database Conceptual Schema Matching ...
—In recent years, there has been a growth in the use of reference conceptual models, in general, ... more —In recent years, there has been a growth in the use of reference conceptual models, in general, and domain ontologies, in particular, to capture information about complex and critical domains. These models play a fundamental role in different types of critical semantic interoperability tasks. Therefore, it is essential that domain experts are able to understand and reason using the models' content. In other words, it is important that conceptual models are cognitively tractable. However, it is unavoidable that when the information of the represented domain grows, so does the size and complexity of the artifacts and models that represent them. For this reason, more sophisticated techniques for complexity management in ontology-driven conceptual models, need to be developed. Some approaches are based on the notion of model modularization. In this paper, we follow the work on model modularization to present an approach for view extraction for the ontology-driven conceptual modeling language OntoUML. We provide a formal definition for ontological views over OntoUML conceptual models that completely leverages on the ontologically well-grounded real-world semantics of that language. Moreover, we present a plug-in tool, particularly developed for an OntoUML model-based editor that implements this formal view structure in terms of queries defined over the OntoUML metamodel embedded in that tool.
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Papers by Guylerme Figueiredo