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

Recuperación multinivel de procesos de negocio basado en semántica del comportamiento

Retrieving business process (BP) is a fundamental step for reusing software components within new information services and software products. Nevertheless, this step is critical in many fields and it may incur in unnecessary resources consumption due to the complexity to find services matching exactly the user's requirements. Therefore, the development of intuitive, endowed with artificial intelligence and semantics-based methods which can recognize what the user really needs, become an important R&D area because it speeds up the deployment and configuration of new BP. In this context, this book summarizes the results of a scientific research project conduc- ted by Telematics Engineering Group of the University of Cauca (Colombia), in which a BP retrieval environment called BeMantics is defined. This environment is developed through two main modules: a repository module with pre-matching mechanisms based on behavioral semantics; and a structural, semantics and behavioral matching module which uses and error- correcting algorithm to refine the results obtained from repository. As a result the BeMantics environment provides a BP ranking according to their structural, semantics and behavioral similarity with regard to a query BP. This result is later analyzed through a pertinence eva- luation web tool which enables a group of human judges to emit relevance judgments on a set of test BPs. These relevance judgments allow obtaining a subset of BP considered as rele- vant, which let the pertinence tool to be used as basis for studying the relevance of the results achieved with the BeMantics environmen

Recuperación multinivel de procesos de negocio basado en semántica del comportamiento

Retrieving business process (BP) is a fundamental step for reusing software components within new information services and software products. Nevertheless, this step is critical in many fields and it may incur in unnecessary resources consumption due to the complexity to find services matching exactly the user’s requirements. Therefore, the development of intuitive, endowed with artificial intelligence and semantics-based methods which can recognize what the user really needs, become an important R&D area because it speeds up the deployment and configuration of new BP. In this context, this book summarizes the results of a scientific research project conduc- ted by Telematics Engineering Group of the University of Cauca (Colombia), in which a BP retrieval environment called BeMantics is defined. This environment is developed through two main modules: a repository module with pre-matching mechanisms based on behavioral semantics; and a structural, semantics and behavioral matching module which uses and error- correcting algorithm to refine the results obtained from repository. As a result the BeMantics environment provides a BP ranking according to their structural, semantics and behavioral similarity with regard to a query BP. This result is later analyzed through a pertinence eva- luation web tool which enables a group of human judges to emit relevance judgments on a set of test BPs. These relevance judgments allow obtaining a subset of BP considered as rele- vant, which let the pertinence tool to be used as basis for studying the relevance of the results achieved with the BeMantics environment

Business Process Repository based on Control Flow Patterns

Business processes have become essentials on internal operations within organizations. However, these require efficient storage mechanisms that allow their extraction and reuse. This paper proposes a method of storing and retrieval business process models, formally represented as graphs and whose search is based on control flow pattern

Dynamic Reconfiguration of Composite Convergent Services Supported by Multimodal Search

Composite convergent services integrate a set of functionalities from Web and Telecommunication domains. Due to the big amount of available functionalities, automation of composition process is required in many fields. However, automated composition is not feasible in practice if reconfiguration mechanisms are not considered. This paper presents a novel approach for dynamic reconfiguration of convergent services that replaces malfunctioning regions of composite convergent services considering user preferences. In order to replace the regions of services, a multimodal search is performed. Our contributions are: a model for representing composite convergent services and a region-based algorithm for reconfiguring services supported by multimodal search

Business Process Model Retrieval Based on Graph Indexing Method

Nowadays, business process reuse is very important and necessary inside large organizations that continually increase their process collections. Therefore, an efficient system to manage and search for concrete and relevant processes is necessary. Here we overcome to this problem proposing business process model retrieval based on a Graph Indexing Method. It takes into account a measure similarity between two graphs and provides a ranking of business process retrieved

Business Process Model Retrieval Based on Graph Indexing Method

Nowadays, business process reuse is very important and necessary inside large organizations that continually increase their process collections. Therefore, an efficient system to manage and search for concrete and relevant processes is necessary. Here we overcome to this problem proposing business process model retrieval based on a Graph Indexing Method. It takes into account a measure similarity between two graphs and provides a ranking of business process retrieved

Business Process Indexing Based on Similarity of Execution Cases

This paper presents EC-Indexer a new approach for Business Process indexing based on execution traces extracted from event-log files. Additionally, a tool implementing the proposed similarity mechanism was developed in order to evaluate the effectiveness by common measures as precision, recall, and f-measure. The results showed that even when the EC-Indexer approach scored low values of recall, it could reach high values of precision while reducing the execution time