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Aligning textual and model-based process descriptions
dc.contributor.author | Sànchez-Ferreres, Josep |
dc.contributor.author | van der Aa, Han |
dc.contributor.author | Carmona Vargas, Josep |
dc.contributor.author | Padró, Lluís |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2019-02-11T11:30:20Z |
dc.date.available | 2020-10-30T01:27:10Z |
dc.date.issued | 2018-01-01 |
dc.identifier.citation | Sànchez, J. [et al.]. Aligning textual and model-based process descriptions. "Data and knowledge engineering", 1 Gener 2018, vol. 118, núm. November, p. 25-40. |
dc.identifier.issn | 0169-023X |
dc.identifier.uri | http://hdl.handle.net/2117/128873 |
dc.description.abstract | Process model descriptions are an ubiquitous source of information that exists in any organization. To reach different types of stakeholders, distinct descriptions are often kept, so that process understandability is boosted with respect to individual capabilities. While the use of distinct representations allows more stakeholders to interpret process information, it also poses a considerable challenge: to keep different process descriptions aligned. In this paper, a novel technique to align process models and textual descriptions is proposed. The technique is grounded on projecting knowledge extracted from these two representations into a uniform representation that is amenable for comparison. It applies a tailored linguistic analysis of each description, so that the important information is considered when aligning description’ elements. Compared to existing approaches that address this use case, our technique provides more comprehensive alignments, which encompass process model activities, events and gateways. Furthermore, the technique, which has been implemented into the platform nlp4bpm.cs.upc.edu, shows promising results based on experiments with real-world data. |
dc.format.extent | 16 p. |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Representació del coneixement |
dc.subject.lcsh | Big data |
dc.subject.other | Business process managementProcess modelsNatural language processingAlignments |
dc.title | Aligning textual and model-based process descriptions |
dc.type | Article |
dc.subject.lemac | Dades massives |
dc.contributor.group | Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals |
dc.contributor.group | Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural |
dc.identifier.doi | 10.1016/j.datak.2018.09.001 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0169023X18301496 |
dc.rights.access | Open Access |
local.identifier.drac | 23518275 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Sànchez, J.; van der Aa, H.; Carmona, J.; Padro, L. |
local.citation.publicationName | Data and knowledge engineering |
local.citation.volume | 118 |
local.citation.number | November |
local.citation.startingPage | 25 |
local.citation.endingPage | 40 |
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