Reuse of Rules in a Mapping-Based Integration Tool

Automated modelling assistance by integrating heterogeneous information sources

“…Other works have considered the exchange of models/data between different meta-modelling tools [67] or technical spaces [68]. In [67] the authors propose a solution that creates transformation between different meta-modelling technologies by means of declarative mappings.…”

“…As a result, our approach is independent of a single technical space and thus enables the import, persistence, and querying of interdependent concepts that are originated from distinctive technical spaces and may be lost within single mappings. In [68] the maintenance of intra-space transformations is improved by automating the discovery and reuse of mappings between schema elements. In contrast, Extremo provides assistance during the import of artifacts from different technical spaces and the creation of new languages and models that are based on existing technical spaces, such as Ecore, regardless of their originating technical space.…”

“…Assistance Heterogeneous Sources Common Model Queries Dyck et al [59,60,61] Sen et al [62] Walter et al [63] ∼ (OWL) Mendieta et al [64] ∼ (SysML) Not extensible Kern, Dimitrieski et al [67,68] Ontology-based DSL development [70,71] ∼ (OWL) Moogle [34] ∼ (EMF) Not extensible Extremo Extensible Table 8 presents a feature-based summary of Extremo and the closest related works. In summary, our approach is novel in that it provides an assistant system that profits from the integration and querying of heterogeneous information sources.…”

“…Although some approaches have focussed on using specific technologies, such as Ontologies [63,69,70,71], to build (meta-)models, our approach is more general as a result of supporting different technologies. Moreover, there exist approaches that establish bridges between technical spaces [67,68], our contribution differs by providing a common data model to store, query, and establish assistance for information from different technical spaces. Further, in contrast to other existing approaches, which have devised query mechanisms to search for relevant models in a repository [34], our querying mechanism is extensible.…”