Towards a Visual SPARQL-DL Query Builder

Querying ontologies is an every-day activity that users need. This interaction will improve when the query is more expressive and easier to develop. For this purpose, a visual query language is an ideal mean for users and ontology engineers for creating queries taking advantage of the easy-to-understand and low time and cost characteristics, specially, for users which does not know textual query languages. On the other side, SPARQL-DL is a powerful and expressive textual query language for OWL-DL based ontologies that can combine TBox/ABox/RBox queries. Considering the advantage of both, we present in this work a visual query language that can be interpreted as SPARQL-DL sentences and thus being used for querying ontologies for its structure and/or instance information. Altogether, we use this idea to create a modified version of crowd, a Web modelling tool with reasoning support, that enables to implement and tests the presented graphical language along with the needed SPARQL-DL support for solving queries with the user’s provided OWL 2 ontologies in any of its linearisations.X Workshop Innovación en Sistemas de Software (WISS)Red de Universidades con Carreras en Informática (RedUNCI

Towards a Visual SPARQL-DL Query Builder

Querying ontologies is an every-day activity that users need. This interaction will improve when the query is more expressive and easier to develop. For this purpose, a visual query language is an ideal mean for users and ontology engineers for creating queries taking advantage of the easy-to-understand and low time and cost characteristics, specially, for users which does not know textual query languages. On the other side, SPARQL-DL is a powerful and expressive textual query language for OWL-DL based ontologies that can combine TBox/ABox/RBox queries. Considering the advantage of both, we present in this work a visual query language that can be interpreted as SPARQL-DL sentences and thus being used for querying ontologies for its structure and/or instance information. Altogether, we use this idea to create a modified version of crowd, a Web modelling tool with reasoning support, that enables to implement and tests the presented graphical language along with the needed SPARQL-DL support for solving queries with the user’s provided OWL 2 ontologies in any of its linearisations.X Workshop Innovación en Sistemas de Software (WISS)Red de Universidades con Carreras en Informática (RedUNCI

Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering

The definition of suitable visual paradigms for ontology modelling is still an open issue. Despite obvious differences between the expressiveness of conceptual modelling (CM) languages and ontologies, many proposed tools have been based on UML, EER and ORM. Additionally, all of these tools support only one CM as visual language, reducing even more their modelling capabilities. In previous works, we have presented crowd as a Web architecture for graphical ontology designing in UML and logical reasoning to verify the relevant properties of these models. The aim of this tool is to extend the reasoning capabilities on top of visual representations as much as possible. In this paper, we present an extended crowd architecture and a new prototype focusing on an ontology-driven metamodel to enable different CMs visual languages for ontology modelling. Thus facilitating inter-model assertions across models represented in different languages, converting between modelling languages and reasoning on them. Finally, we detail the new architecture and demonstrate the usage of the prototype with simple examples.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering

The definition of suitable visual paradigms for ontology modelling is still an open issue. Despite obvious differences between the expressiveness of conceptual modelling (CM) languages and ontologies, many proposed tools have been based on UML, EER and ORM. Additionally, all of these tools support only one CM as visual language, reducing even more their modelling capabilities. In previous works, we have presented crowd as a Web architecture for graphical ontology designing in UML and logical reasoning to verify the relevant properties of these models. The aim of this tool is to extend the reasoning capabilities on top of visual representations as much as possible. In this paper, we present an extended crowd architecture and a new prototype focusing on an ontology-driven metamodel to enable different CMs visual languages for ontology modelling. Thus facilitating inter-model assertions across models represented in different languages, converting between modelling languages and reasoning on them. Finally, we detail the new architecture and demonstrate the usage of the prototype with simple examples

Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering

The definition of suitable visual paradigms for ontology modelling is still an open issue. Despite obvious differences between the expressiveness of conceptual modelling (CM) languages and ontologies, many proposed tools have been based on UML, EER and ORM. Additionally, all of these tools support only one CM as visual language, reducing even more their modelling capabilities. In previous works, we have presented crowd as a Web architecture for graphical ontology designing in UML and logical reasoning to verify the relevant properties of these models. The aim of this tool is to extend the reasoning capabilities on top of visual representations as much as possible. In this paper, we present an extended crowd architecture and a new prototype focusing on an ontology-driven metamodel to enable different CMs visual languages for ontology modelling. Thus facilitating inter-model assertions across models represented in different languages, converting between modelling languages and reasoning on them. Finally, we detail the new architecture and demonstrate the usage of the prototype with simple examples.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Hacia un lenguaje gráfico para SPARQL-DL

Esta línea de investigación se desarrolla en forma colaborativa entre docentes-investigadores de la Universidad Nacional del Comahue y de la Universidad Nacional del Sur, en el marco de proyectos de investigación financiados por las universidades antes mencionadas. El objetivo general de este trabajo es el desarrollo de metodologías que integren consultas textuales y gráficas con razonamiento automático, en ambientes de modelado conceptual y ontológico. Así como el uso de razonamiento para la identificación de errores en la ingeniería ontológica es vital y tiene consecuencias evidentes, es esencial que sea también considerado en la generación de consultas, junto con el soporte gráfico para la interacción de los usuarios con los modelos

Interoperabilidad entre lenguajes de modelado conceptual en crowd

Esta línea de investigación se desarrolla en forma colaborativa entre docentesinvestigadores de la Universidad Nacional del Comahue y de la Universidad Nacional del Sur, en el marco de proyectos de investigación financiados por las universidades antes mencionadas. El objetivo general del trabajo de investigación es desarrollar una nueva versión de la herramienta Web crowd, que permita la interoperabilidad de los lenguajes de modelado conceptual UML, EER y ORM, a partir de un metamodelo de unificación. Se pretende trabajar también en el soporte gráfico para sendos lenguajes, favoreciendo la comunicación entre usuarios mediante el uso de lenguajes comunes entre ellos. Como trabajo futuro, planeamos extender la codificación actual de la herramienta, basada en Lógicas Descriptivas, para una validación intra- e inter-lenguajes.Eje: Innovación en Sistemas de Software.Red de Universidades con Carreras en Informática (RedUNCI

Herramienta web para interoperabilidad conceptual entre UML, EER y ORM 2

La presente investigación se desarrolla mediante el trabajo colaborativo de docentes investigadores de la Universidad Nacional del Comahue (UNCo) y de la Universidad Nacional del Sur (UNS), en el contexto de proyectos de investigación financiados por las universidades indicadas. El objetivo general de esta línea de investigación y desarrollo es el diseño e implementación de una herramienta Web que permita facilitar la interoperabilidad entre los lenguajes de modelado UML, EER y ORM 2. Para esto, se considera un metamodelo integrador, llamado KF, el cual formaliza las bases de los distintos lenguajes, permitiendo así, identificar las similitudes entre los lenguajes previamente mencionados. El resultado de esta implementación será integrado a crowd, la cual es una herramienta para modelado visual ontológico utilizando lenguajes de modelado conceptual, desarrollada por nuestros grupos de investigación.Eje: Innovación en sistemas de software.Red de Universidades con Carreras en Informátic

Towards a Visual SPARQL-DL Query Builder

Querying ontologies is an every-day activity that users need. This interaction will improve when the query is more expressive and easier to develop. For this purpose, a visual query language is an ideal mean for users and ontology engineers for creating queries taking advantage of the easy-to-understand and low time and cost characteristics, specially, for users which does not know textual query languages. On the other side, SPARQL-DL is a powerful and expressive textual query language for OWL-DL based ontologies that can combine TBox/ABox/RBox queries. Considering the advantage of both, we present in this work a visual query language that can be interpreted as SPARQL-DL sentences and thus being used for querying ontologies for its structure and/or instance information. Altogether, we use this idea to create a modified version of crowd, a Web modelling tool with reasoning support, that enables to implement and tests the presented graphical language along with the needed SPARQL-DL support for solving queries with the user’s provided OWL 2 ontologies in any of its linearisations.X Workshop Innovación en Sistemas de Software (WISS)Red de Universidades con Carreras en Informática (RedUNCI

Towards Conceptual Modelling Interoperability in a Web Tool for Ontology Engineering

The definition of suitable visual paradigms for ontology modelling is still an open issue. Despite obvious differences between the expressiveness of conceptual modelling (CM) languages and ontologies, many proposed tools have been based on UML, EER and ORM. Additionally, all of these tools support only one CM as visual language, reducing even more their modelling capabilities. In previous works, we have presented crowd as a Web architecture for graphical ontology designing in UML and logical reasoning to verify the relevant properties of these models. The aim of this tool is to extend the reasoning capabilities on top of visual representations as much as possible. In this paper, we present an extended crowd architecture and a new prototype focusing on an ontology-driven metamodel to enable different CMs visual languages for ontology modelling. Thus facilitating inter-model assertions across models represented in different languages, converting between modelling languages and reasoning on them. Finally, we detail the new architecture and demonstrate the usage of the prototype with simple examples.Sociedad Argentina de Informática e Investigación Operativa (SADIO