LS3: Latent Semantic Analysis-based Similarity Search for Process Models
AbstractPlease note that due to an editorial mishap, the PDF of this publication had to be changed on 2017-10-19 (marked as ‘corrected version’).
Large process model collections in use today contain hundreds or even thousands of conceptual process models. Search functionalities can help in handling such large collections for purposes such as duplicate detection or reuse of models. One popular stream of search functionalities is similarity-based search which utilizes similarity measures for finding similar models in a large collection. Most of these approaches base on an underlying alignment between the activities of the compared process models. Yet, such an alignment seems to be quite difficult to achieve according to the results of the Process Model Matching contests conducted in recent years. Therefore, the Latent Semantic Analysis-based Similarity Search (LS3) technique presented in this article does not rely on such an alignment, but uses a Latent Semantic Analysis-based similarity measure for retrieving similar models. An evaluation with 138 real-life process models shows a strong performance in terms of Precision, Recall, F-Measure, R-Precision and Precision-at-k, thereby outperforming five other techniques for similarity-based search. Additionally, the run time of the LS3 query calculation is significantly faster than any of the other approaches.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms: Authors retain copyright and grant the journal 'Enterprise Modelling and Information Systems Architectures - International Journal of Conceptual Modeling' and the Gesellschaft für Informatik e.V. (GI) the permission of first publication, and the non-exclusive, irrevocable and non-time limited publication permission for the submitted work including the permissions to store, copy, distribute and reproduce their work in printed and electronic form for the duration of the legal copyright. This includes the right of translation. Authors grant the journal 'Enterprise Modelling and Information Systems Architectures - International Journal of Conceptual Modeling' and the Gesellschaft für Informatik e.V. (GI) the permission to license their work under a Creative Commons BY-SA 4.0 license that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) given an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). The submitting corresponding author on behalf of all co-authors asserts that she/he is entitled to the granting of the above mentioned permissions for the submitted work.