Abstract
Business Process annotation with semantic tags taken from an ontology is becoming a crucial activity for business designers. In fact, semantic annotations help business process comprehension, documentation, analysis and evolution. However, building a domain ontology and annotating a process with semantic concepts is a difficult task.
In this work, we propose an automated technique to support the business designer both in domain ontology creation/extension and in the semantic annotation of process models expressed in BPMN. We use natural language processing of the labels appearing in the process elements to construct a domain ontology skeleton or to extend an existing ontology, if available. Semantic annotations are automatically suggested to the business designer, based on a measure of similarity between ontology concepts and the labels of the process elements to be annotated.
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References
Storey, V.C.: Comparing relationships in conceptual modeling: Mapping to semantic classifications. IEEE Trans. on Knowl. and Data Eng. 17(11), 1478–1489 (2005)
Mendling, J., Recker, J.: Towards systematic usage of labels and icons in business process models. In: Proc. of EMMSAD 2008. CEUR WS, vol. 337, pp. 1–13 (2008)
Hepp, M., Leymann, F., Domingue, J., Wahler, A., Fensel, D.: Semantic business process management: A vision towards using semantic web services for business process management. In: Proc. of ICEBE 2005 (2005)
Di Francescomarino, C., Tonella, P.: Crosscutting concern documentation by visual query of business processes. In: Proc. of BPD 2008 (2008)
Di Francescomarino, C., Ghidini, C., Rospocher, M., Serafini, L., Tonella, P.: Reasoning on semantically annotated processes. In: ICSOC, pp. 132–146 (2008)
Koschmider, A., Oberweis, A.: Ontology based business process description. In: Proc. of CAiSE 2005. LNCS, pp. 321–333. Springer, Heidelberg (2005)
Thomas, O., Fellmann, M.: Semantic epc: Enhancing process modeling using ontology languages. In: Proc. of ESWC 2007. CEUR-WS, vol. 251 (2007)
De Nicola, A., Lezoche, M., Missikoff, M.: An ontological approach to business process modeling. In: Proc. of IICAI 2007, December 2007, pp. 1794–1813 (2007)
Dimitrov, M., Alex Simov, S.S., Konstantinov, M.: A bpmo based semantic business process modelling environment. In: Proc. of the ESWC 2007. CEUR-WS, vol. 251 (2007)
Born, M., Dörr, F., Weber, I.: User-friendly semantic annotation in business process modeling. In: Weske, M., Hacid, M.-S., Godart, C. (eds.) WISE Workshops 2007. LNCS, vol. 4832, pp. 260–271. Springer, Heidelberg (2007)
Lin, D.: Dependency based evaluation of minipar. In: Proc. of the Workshop on the Evaluation of Parsing Systems, LREC, Granada, Spain (1998)
Miller, G.A.: Nouns in WordNet. In: WordNet: An Electronic Lexical Database (1998)
Lin, D.: An information-theoretic definition of similarity. In: ICML 1998, pp. 296–304 (1998)
Ide, N., Véronis, J.: Word sense disambiguation: The state of the art. Computational Linguistics 24, 1–40 (1998)
Wang, X.: OWSD: A tool for word sense disambiguation in its ontology context. In: International Semantic Web Conference (Posters & Demos) (2008)
Cormen, T.H., Leiserson, C.E., Rivest, R.L.: Introduction to Algorithms. MIT Press, Cambridge (1990)
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Di Francescomarino, C., Tonella, P. (2009). Supporting Ontology-Based Semantic Annotation of Business Processes with Automated Suggestions. In: Halpin, T., et al. Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2009 2009. Lecture Notes in Business Information Processing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01862-6_18
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DOI: https://doi.org/10.1007/978-3-642-01862-6_18
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