Business process retrieval based on behavioral semantics
This paper develops a framework for retrieving business processes considering search requirements based on behavioral semantics properties; it presents a framework called “BeMantics” for retrieving business processes based on structural, linguistics, and behavioral semantics properties. The relevanc...
- Autores:
-
Figueroa, Cristhian
Corrales, Juan Carlos
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2011
- Institución:
- Universidad EIA .
- Repositorio:
- Repositorio EIA .
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eia.edu.co:11190/131
- Acceso en línea:
- https://repository.eia.edu.co/handle/11190/131
- Palabra clave:
- REI00180
PLANIFICACIÓN ESTRATÉGICA
STRATEGIC PLANNING
ORGANIZACIÓN E INDUSTRIA
ORGANIZATION AND INDUSTRY
BUSINESS PROCESS
BEHAVIORAL SEMANTICS
SUB - GRAPH ISOMORPHISM
CONTROL - FLOW PATTERNS
BUSINESS PROCESS REPOSITORY
PROCESO DE NEGOCIO
SEMÁNTICA DEL COMPORTAMIENTO
ISOMORFISMO DE GRAFOS
PATRONES DE FLUJO DE CONTROL
REPOSITORIO DE PROCESOS DE NEGOCIO
- Rights
- openAccess
- License
- Derechos Reservados - Universidad EIA, 2020
Summary: | This paper develops a framework for retrieving business processes considering search requirements based on behavioral semantics properties; it presents a framework called “BeMantics” for retrieving business processes based on structural, linguistics, and behavioral semantics properties. The relevance of the framework is evaluated retrieving business processes from a repository, and collecting a set of relevant business processes manually issued by human judges. The “BeMantics” framework scored high precision values (0.717) but low recall values (0.558), which implies that even when the framework avoided false negatives, it prone to false positives. The highest precision value was scored in the linguistic criterion showing that using semantic inference in the tasks comparison allowed to reduce around 23.6 % the number of false positives. Using semantic inference to compare tasks of business processes can improve the precision; but if the ontologies are from narrow and specific domains, they limit the semantic expressiveness obtained with ontologies from more general domains. Regarding the performance, it can be improved by using a filter phase which indexes business processes taking into account behavioral semantics properties. |
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