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 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 pre- cision 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 perform- ance, it can be improved by using a filter phase which indexes business processes taking into account behavioral semantics propertie

Un enfoque multinivel para la recuperación de procesos de negocio

Nowadays business process reuse is critical in companies that need to build flexible and service-based business solutions in order to react quic­kly and cost-effective to dynamic market-conditions. For this reason, many companies have implemented approaches to find relevant business processes to be reused to create new software solutions performing re­quired business functionalities. This paper presents a multilevel retrieval approach that detects linguistic, structural, and behavioral properties to increase the precision level in recovering those business processes stored in a repository.Actualmente reutilizar procesos de negocio es un procedimiento crítico especialmente para compañías que requieren construir soluciones flexibles y soportadas por servicios con el fin de afrontar de manera efectiva y a bajo costo las condiciones cambiantes del mercado. Por esta razón, muchas de ellas han implementado métodos para encontrar procesos de negocio relevantes que puedan ser reutilizados en la creación de nuevas soluciones software que cumplan con una determinada función de negocio. Este artí­culo presenta un método multinivel que detecta similitudes entre procesos de negocio, teniendo en cuenta propiedades lingüísticas, estructurales y de comportamiento, con el fin de incrementar el nivel de precisión en la recuperación de aquellos procesos existentes en un repositorio

A multi level approach for business process retrieval

Nowadays business process reuse is critical in companies that need to build flexible and service-based business solutions in order to react quic­kly and cost-effective to dynamic market-conditions. For this reason, many companies have implemented approaches to find relevant business processes to be reused to create new software solutions performing re­quired business functionalities. This paper presents a multilevel retrieval approach that detects linguistic, structural, and behavioral properties to increase the precision level in recovering those business processes stored in a repository.Actualmente reutilizar procesos de negocio es un procedimiento crítico especialmente para compañías que requieren construir soluciones flexibles y soportadas por servicios con el fin de afrontar de manera efectiva y a bajo costo las condiciones cambiantes del mercado. Por esta razón, muchas de ellas han implementado métodos para encontrar procesos de negocio relevantes que puedan ser reutilizados en la creación de nuevas soluciones software que cumplan con una determinada función de negocio. Este artí­culo presenta un método multinivel que detecta similitudes entre procesos de negocio, teniendo en cuenta propiedades lingüísticas, estructurales y de comportamiento, con el fin de incrementar el nivel de precisión en la recuperación de aquellos procesos existentes en un repositorio

25 Desafíos de la Modelación de Procesos Semánticos

Process modeling has become an essential part of many organizations for documenting, analyzing and redesigning their business operations and to support them with suitable information systems. In order to serve this purpose, it is important for process models to be well grounded in for- mal and precise semantics. While behavioural semantics of process models are well understood, there is a considerable gap of research into the semantic aspects of their text labels and natural lan- guage descriptions. The aim of this paper is to make this research gap more transparent. To this end, we clarify the role of textual content in process models and the challenges that are associated with the interpretation, analysis, and improvement of their natural language parts. More specifically, we discuss particular use cases of semantic process modeling to identify 25 challenges. For each cha- llenge, we identify prior research and discuss directions for addressing themEl modelado de procesos se ha convertido en una parte esencial de muchas organizaciones para documentar, analizar, y rediseñar sus operaciones de negocios y apoyarlos con información apropiada. Para cumplir este fin, es importante para estos que estén completos dentro de una semántica formal y precisa. Mientras la semántica del comportamiento del modelado de procesos se entiende bien, hay una considerable laguna en la investigación entre los aspectos semánticos de sus rótulos textuales, y las descripciones en lenguaje natural. El objetivo de este artículo es hacer esta laguna en la investigación más transparente. Con este fin, clarificamos el papel del contenido textual en los modelos de proceso, y los retos relacionados con la interpretación, el análisis, y desarrollo de sus partes en lenguaje natural. De forma más específica, debatimos los casos particulares del uso del modelado de procesos semánticos para identificar 25 retos. Para cada reto, identificamos antes de la investigación y debatimos las direcciones para dirigirnos a ellos

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 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 pre- cision 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 perform- ance, it can be improved by using a filter phase which indexes business processes taking into account behavioral semantics properties

UniFlexView : a unified framework for consistent construction of BPMN and BPEL process views

Process view technologies allow organizations to create different granularity levels of abstraction of their business processes, therefore enabling a more effective business process management, analysis, interoperation, and privacy controls. Existing research proposed view construction and abstraction techniques for block-based (ie, BPEL) and graph-based (ie, BPMN) process models. However, the existing techniques treat each type of the two types of models separately. Especially, this brings in challenges for achieving a consistent process view for a BPEL model that derives from a BPMN model. In this paper, we propose a unified framework, namely UniFlexView, for supporting automatic and consistent process view construction. With our framework, process modelers can use our proposed View Definition Language to specify their view construction requirements disregarding the types of process models. Our UniFlexView's system prototype has been developed as a proof of concept and demonstration of the usability and feasibility of our framework. © 2019 John Wiley & Sons, Ltd

Finding available services in TOSCA-compliant clouds

The OASIS TOSCA specification aims at enhancing the por-ta-bility of cloud applications by defining a language to describe and manage them across heterogeneous clouds. A service template is defined as an orchestration of typed nodes, which can be instantiated by matching other service templates. In this paper, we define and implement the notions of {em exact} and {it plug-in matching} between TOSCA service templates and node types. We then define two other types of matching ({em flexible} and {em white-box}), each permitting to ignore larger sets of non-relevant syntactic differences when type-checking service templates with respect to node types. The paper also describes how a service template that plug-in, flexibly or white-box matches a node type can be suitably adapted so as to exactly match it

Similarity of business process models : metrics and evaluation

It is common for large and complex organizations to maintain repositories of business process models in order to document and to continuously improve their operations. Given such a repository, this paper deals with the problem of retrieving those process models in the repository that most closely resemble a given process model or fragment thereof. The paper presents three similarity metrics that can be used to answer such queries: (i) label matching similarity that compares the labels attached to process model elements; (ii) structural similarity that compares element labels as well as the topology of process models; and (iii) behavioral similarity that compares element labels as well as causal relations captured in the process model. These similarity metrics are experimentally evaluated in terms of precision and recall, and in terms of correlation of the metrics with respect to human judgement. The experimental results show that all three metrics yield comparable results, with structural similarity slightly outperforming the other two metrics. Also, all three metrics outperform traditional search engines when it comes to searching through a repository for similar business process models

25 Challenges of Semantic Process Modeling

Process modeling has become an essential part of many organizations for documenting, analyzing and redesigning their business operations and to support them with suitable information systems. In order to serve this purpose, it is important for process models to be well grounded in formal and precise semantics. While behavioural semantics of process models are well understood, there is a considerable gap of research into the semantic aspects of their text labels and natural language descriptions. The aim of this paper is to make this research gap more transparent. To this end, we clarify the role of textual content in process models and the challenges that are associated with the interpretation, analysis, and improvement of their natural language parts. More specifically, we discuss particular use cases of semantic process modeling to identify 25 challenges. For each challenge, we identify prior research and discuss directions for addressing them