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Conceptual elevation of data in business process modeling was first formulated in 2003. The research community responded to this new idea enthusiastically. In the past decade, there have been numerous research activities concerning the interactions between business processes/activities and data in many aspects of business process management. Many of the advancements have or will have impacted on design/modeling,...
Combining big data with machine learning is a powerful tool for business intelligence (BI). Developed in the database community, The traditional ETL-data warehouse-OLAP approach to BI is effective to deal with multi-dimensional data (i.e. data cubes) but not suitable for flexible analytics such as exploration with ad hoc queries and process/data changes. Process mining techniques developed in the...
A business process (BP or workflow) is an assembly of tasks to accomplish a business goal. Business process management (BPM) aims to provide support for the design, configuration/implementation, enactment and monitoring, diagnose/analysis, and re-design of workflow. Business analytics or intelligence (BI) is a necessary step towards re-design/improvement. The traditional methodology for BI is the...
Business process (or workflow) management is vital in enterprise application systems. Current workflow management systems (WfMSs) do not provide a clear separation between execution management and data management, such a lack of separation causes serious difficulties in managing data consistency and process change. This paper argues for an "execution independence" principle of isolating...
An important omission in current development practice for business process (or workflow) management systems is modeling of data & access for a business process, including relationship of the process data and the persistent data in the underlying enterprise database(s). This paper develops and studies a new approach to modeling data for business processes: representing data used by a process as...
National Trauma Data Bank (NTDB) is the largest repository of statistically robust trauma data in the United States, assembled from trauma centers across the country. NTDB data has been commonly used in risk adjusted studies in the medical communities to describe patterns of injury, interventions and patient outcomes in order to better tailor trauma treatment. The studies have led to significant improvements...
Data and its manipulation are essential in business processes (BPs). It is desirable to ensure within BP executions that every update to a database server guarantees to satisfy all relevant data integrity constraints (ICs). Furthermore, the earlier in a BP execution a violation is detected the more dependable the BP is. This paper studies the Process Safety Problem (PSP): will an incoming message...
Artifact-centric business process models allow to describe artifacts (data objects) and their life cycles, which allow designers to focus on individual artifact in business processes, thus simplifies the design and analysis of business process model. However, this feature is a double-edged sword. The description of the relationships between artifacts becomes a new and nontrivial problem. It is better...
WSDL Web services are built around the request-reply framework, requiring service invocation to be bundled together with all relevant data in a single message. Inefficiency becomes evident as Web service providers begin to offer more robust services that require massive datasets (e.g., multimedia and scientific data). Under the WSDL standards, these hefty datasets must be ported to an appropriate...
Integrating service description, discovery, and invocation functionalities presents several fundamental problems in the management of web services and is a basic problem for composing Web services over a network. In this paper, we present the design of a system called "semantic service, wrapper, and invocation manager" (SSWiM) which provides these key functionalities. In particular, SSWiM...
BPEL is used for specifying Web services. In spite of numerous recent efforts in both statically analyzing service specifications and support for service execution, there is still an urgent need for quality assurance for BPEL services in two aspects: (1) lack of tools, techniques to aid under-standing BPEL service specifications and execution in order to make informed decisions about the correctness...
The main objective of composing web services is to identify usable web services through discovery and to orchestrate or assemble selected services according to the goal specification. In this paper, we formulate and study a framework of composing web services through discovery from a given goal service. A general algorithm for composition with or without a goal service invocation request is developed...
A goal of the service oriented paradigm/SOA is to facilitate automated service composition. Motivated by scenarios in e-business and e-science, the automated composition problem starts with a specification of a "goal" service and a set of searchable existing services. The composition problem relies on discovering relevant services at the semantic level, mainly, through entry/exit conditions,...
Business artifacts are the core entities used by businesses to record information pertinent to their operations. Business operational models are representations of the processing of business artifacts. Traditional process modeling approaches focus on the actions taken to achieve a certain goal (verb-centric). Business artifact-centric modeling starts by identifying what is acted upon (noun-centric),...
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