LogLogics: A logic for history-dependent business processes

نویسندگان

  • Kees M. van Hee
  • Olivia Oanea
  • Alexander Serebrenik
  • Natalia Sidorova
  • Marc Voorhoeve
چکیده

Choices in business processes are often based on the process history saved as a log-file listing events and their time stamps. In this paper we introduce LogLogics, a finite-path variant of the Timed Propositional Temporal Logic with Past, which can be in particular used for specifying guards in business process models. The novelty is due to the presence of boundary points corresponding to the starting and current observation points, which gives rise to a three-valued logic allowing us to distinguish between temporal formulas that hold for any log extended with some possible past and future (true), those that do not hold for any extended log (false) and those that hold for some but not all extended logs (unknown). We reduce the check of the truth value of a LogLogics formula to a check on a finite abstraction and present an evaluation algorithm. We also define LogLogics patterns for commonly occurring properties. c © 2006 Elsevier B.V. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Modelling History-Dependent Business Processes

Choices in business processes are often based on the process history saved as a log-file listing events and their time stamps. In this paper we introduce a finite-path variant of the timed propositional logics with past for specifying guards in business process models. The novelty is due to the introduction of boundary points start and now corresponding to the starting and current observation p...

متن کامل

Concept drift detection in business process logs using deep learning

Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...

متن کامل

Real-time Prediction and Synchronization of Business Process Instances using Data and Control Perspective

Nowadays, in a competitive and dynamic environment of businesses, organizations need to moni-tor, analyze and improve business processes with the use of Business Process Management Systems(BPMSs). Management, prediction and time control of events in BPMS is one of the major chal-lenges of this area of research that has attracted lots of researchers. In this paper, we present a...

متن کامل

Evaluation of Planet Factors of Smart City through Multi-layer Fuzzy Logic (MFL)

Internet of Things (IoT) approach is empowering smart city creativities all over the world. There is no specific tool or criteria for the evaluation of the services offered by the smart city. In this paper, a new Multilayer Fuzzy Inference System (MFIS) is proposed for the assessment of the Planet Factors of smart city (PFSC). The PFSC system is categorized into two levels. The proposed MFIS ba...

متن کامل

Cycle Time Reduction and Runtime Rebalancing by Reallocating Dependent Tasks

Business Process Management Systems (BPMS) is a complex information system that provides designing, administrating, and improving the business processes. Task allocation to human resources is one of the most important issues which should be managed more efficiently in BPMS. Task allocation algorithms are defined in order to meet the various policies of organizations. The most important of these...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Sci. Comput. Program.

دوره 65  شماره 

صفحات  -

تاریخ انتشار 2007