Process Model Matching @ OAEI 2017

This page informs about the Process Model Matching track, which was a new OAEI track in 2016 and is now offered a second time in 2017. We provide a short description and link to the relevant resources.

About

In 2013 and again in 2015 the community interested in process modeling conducted an evaluation campaign similar to the OAEI. Instead of matching ontologies, the task was to match process models described in different formalisms like BPMN and Petri Nets. More information can be found at the webpage of the 2015 contest.

At the OAEI 2016 we offered a subset of the tasks from the Process Model Matching Contest as OAEI track, by converting the process models to an ontological representation. By offering this track, we hoped to gain insights in how far ontology matching systems are capable of solving the more specific problem of matching process models. This was track was also motivated by the discussions at the end of the 2015 Ontology Matching workshop, where many participants showed their interest in such a track. Unfortunately, in 2016 only around 3 matching systems participated in this track. Nevertheless, the results were surprisingly good compared to the state of the art process model matching systems (see here). In 2017 we are offering the track again in the hope of attracting a higher number of participants.

The BPMN representation of the process models was converted to a set of assertions (ABox) using the vocabulary defined in the BPMN 2.0 ontology (TBox). For that reason the resulting matching task is a special type of instance matching task where each ABox is described by the same TBox. That means that aver instance matching system should be able create meaningful mappings with a limited amount of adapting the system to the specifics of this track.

Dataset

The subset from the original contest that we have chosen is the University Admission dataset. It consist of process models that describe the process of university admission for different universities. Typical activities within that domain are Sending acceptance, Invite student for interview, or Wait for response. These examples illustrate one of the main differences to the ontology matching task: The labels are usually verb-object phrases that are sometimes extended with more words. Another important difference is obviously related to the existence of an execution order (i.e., the model is a complex sequence of activities) which can be understood as the counterpart to a type hierarchy.

The references alignment contains correspondences between instances of the class task as well as some correspondences between events. There are also some cases where tasks are matched on events (where it makes sense). The collection consists of 9 models ("Cologne", "Frankfurt", "FU_Berlin", "Hohenheim", "IIS_Erlangen", "Muenster", "Potsdam", "TU_Munich", "Wuerzburg"), for each pair exists an alignment in the gold standard. However, there is only an alignment named "Cologne-Frankfurt.rdf" and no alignment "Frankfurt-Cologne.rdf".

Note that we are currently investigating to add another dataset to this track. We know that we are already a little late with respect to that. So in case you want to participate, please sent a mail to the main contact address below indicating your interest in participation. We will then inform you via mail once we decided upon an additional dataset.

SEALS Support

This track runs in SEALS mode. i.e., the dataset is available as SEALS testsuite that can be executed via the SEALS client made available at the general OAEI webpage. This version is the ontology based version of the dataset.

Anatomy Testsuite

Please feel free to write at any time a mail (contact below), if there are problems related to the testsuite!

In paralell, we will also offer the ontologies themselves for download (see above), which might be helpful for local tests. However, these files might differ slightly from the SEALS testsuite, which should be taken as reference.

Contact

If you have any questions or remarks, feel free to contact us.