Business process models play an important role in today's enterprises, hence, model
repositories may contain hundreds of models. These models are, for example, reused during …

A better treatment of subprocesses by process model similarity techniques can provide
improved results to stakeholders, allowing them to define which levels in the subprocess …

Process Model Matching (PMM) refers to the automatic identification of corresponding
activities between a pair of process models. Due to the wider applicability of PMM …

Process model matching techniques aim at automatically identifying activity
correspondences between two process models that represent the same or similar behavior …

Semantic Web services (SWs) and P2P computing have emerged as new paradigms for
solving complex problems by enabling large-scale aggregation and sharing of distributed …

Over the last decade, graphs have gained in popularity and have been widely used to model
complex real world structures and data in various application domains. This leads to a rapid …

In this paper, we propose a novel approach for graph based web service matching. Our
approach is inspired by spectral graph matching methods, in particular, by eigen-based …

With the rapid proliferation of business process model collections, a fast and efficient
systems to find process models from hundreds or thousands model is necessary. Similarity …

Semantic Web services (SWs) paradigm is considered as the most dominant technology of
the Service-Oriented Computing (SOC). SWs have emerged as a major technology for …

Recent attempts have been done to measure similarity of process models based on graph
matching. This problem is known to be difficult and its computational complexity is …