Automated Service Composition Based on Behaviors: The Roman Model

Giacomo, Giuseppe De; Mecella, Massimo; Patrizi, Fabio

doi:10.1007/978-1-4614-7518-7_8

Cited by 18 publications

(20 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the interest of providing a complete review of the current state-of-theart WSC methods, and since non-deterministic WSC methods are scarce in the literature, other methods such as ones that are semi-automatic or deterministic in their problem formulation are also reviewed. However, methods that are radically different from the scope of this article, e.g., those that consider web services as stateful [95] or model them as automata, [96] will not be reviewed. Table 4 presents the reviewed methods along with their features.…”

Section: Web Service Composition Methodsmentioning

confidence: 99%

Non-deterministic planning methods for automated web service composition

Markou

Refanidis

2015

AIR

View full text Add to dashboard Cite

Web service composition (WSC) is the task of generating new composite web services that exhibit functionalities not supported by any single web service. In its simplest form this is achieved by linking existing web services in sequence. More complex forms link services in parallel or use alternative paths. WSC can be considered a planning task, with the web services being the planning operators and the initial state and the goals being provided by the user. Particularly, since web services operate in a stochastic environment, their output is not predictable, and the problem is formulated as a non-deterministic planning one. This article presents a critical, comprehensive and up-to-date review of the literature concerning alternative non-deterministic planning methods, including probabilistic planning, determinization methods, planning in the belief state space and translationbased methods. Furthermore, the article reviews existing implementations of WSC systems, employing a variety of planning approaches, and discusses the degree in which the current achievements from the non-deterministic planning field have been adopted successfully. To the best of our knowledge, this is the first review of its kind, one that provides a thorough introduction to the vast area of automated web service composition.

show abstract

Section: Web Service Composition Methodsmentioning

confidence: 99%

Non-deterministic planning methods for automated web service composition

Markou

Refanidis

2015

AIR

View full text Add to dashboard Cite

show abstract

“…A further research area related to process adaptation is the one of Web service composition [44,4,50,51,2,66,15]. Notably, most of the approaches to Web service composition adopt planning-based techniques, as the SmartPM approach does.…”

Section: Related Workmentioning

confidence: 99%

Supporting adaptiveness of cyber-physical processes through action-based formalisms

Marrella

Mecella

Sardiña

2018

AIC

Self Cite

View full text Add to dashboard Cite

Cyber Physical Processes (CPPs) refer to a new generation of business processes enacted in many application environments (e.g., emergency management, smart manufacturing, etc.), in which the presence of Internet-of-Things devices and embedded ICT systems (e.g., smartphones, sensors, actuators) strongly influences the coordination of the real-world entities (e.g., humans, robots, etc.) inhabitating such environments. A Process Management System (PMS) employed for executing CPPs is required to automatically adapt its running processes to anomalous situations and exogenous events by minimising any human intervention. In this paper, we tackle this issue by introducing an approach and an adaptive Cognitive PMS, called SmartPM, which combines process execution monitoring, unanticipated exception detection and automated resolution strategies leveraging on three wellestablished action-based formalisms developed for reasoning about actions in Artificial Intelligence (AI), including the situation calculus, IndiGolog and automated planning. Interestingly, the use of SmartPM does not require any expertise of the internal working of the AI tools involved in the system.

show abstract

“…Another research area (that is highly related to BPM) where the use of planning contributed to tackle complex challenges is the one of web service composition [11,89,90,6,20]. Among the most interesting works in this area, only few of them employ domain-independent planners to generate compositions of atomic web services [80,102,86,52,51].…”

Section: Related Workmentioning

confidence: 99%

Automated Planning for Business Process Management

Marrella

2018

J Data Semant

View full text Add to dashboard Cite

Business Process Management (BPM) is a central element of today's organizations. Over the years its main focus has been the support of business processes (BPs) in highly controlled domains. Howeverin the current era of Big Data and Internet-of-Thingsseveral real-world domains are becoming cyber-physical (e.g., consider the shift from traditional manufacturing to Industry 4.0), characterized by ever-changing requirements, unpredictable environments and increasing amounts of data and events that influence the enactment of BPs. In such unconstrained settings, BPM professionals lack the needed knowledge to model all possible BP variants/contingencies at the outset. Consequently, BPM systems must increase their level of automation to provide the reactivity and flexibility necessary for process management. On the other hand, the Artificial Intelligence (AI) community has concentrated its efforts on investigating dynamic domains that involve active control of computational entities and physical devices (e.g., robots, software agents, etc.). In this context, Automated Planning, which is one of the oldest areas in AI, is conceived as a model-based approach to synthesize autonomous behaviours in automated way from a model. In this paper, we discuss how automated planning techniques can be leveraged to enable new levels of automation and support for solving concrete problems in the BPM field that were previously tackled with hard-coded solutions. To this aim, we first propose a methodology that shows how a researcher/practitioner should approach the task of encoding a concrete problem as an appropriate planning problem. Then, we discuss the

show abstract

Automated Service Composition Based on Behaviors: The Roman Model

Cited by 18 publications

References 34 publications

Non-deterministic planning methods for automated web service composition

Non-deterministic planning methods for automated web service composition

Supporting adaptiveness of cyber-physical processes through action-based formalisms

Automated Planning for Business Process Management

Contact Info

Product

Resources

About