Strategy, networks and systems in the global translation services market

The globalisation of markets has led to an increased demand for language translation services that support and enable communication between economic partners. For example, technical documents, software systems, business documents and web sites all need to be translated into multiple languages for individual national markets, and the information that they contain changes periodically. This paper sets out a theoretical framework that describes the architectures of business processes within and between separate firms that are used to support the delivery and management of services. This is done by coordinating the fit between externally generated problem complexity, from customers, and the internally generated complexity of different potential network configuration solutions. The theoretical framework is an architecture of how complexity is generated and managed at the different structural levels and across the different processual stages of an industry. A case study of thebigword, a major international translation services company, illustrates how the framework is applied in practice. The case study analyses the implementation of an electronic market platform which enables the coordination of the different stakeholders involved in the translation services market. These stakeholders include translators, translation services companies and their clients in a global business network.     

企业服务总线中消息路由器的设计与实现

消息路由器需要解决服务发现与匹配、消息交换并发控制、消息交换生命周期管理等问题。为此,设计一种满足JBI规范的规范化消息路由器,并介绍该路由器的体系结构、消息路由算法以及消息交换状态控制机。给出企业服务总线的应用示例,证明该消息路由器在复杂企业应用集成环境中的有效性、可靠性与安全性。     

Time prediction based on process mining

Process mining allows for the automated discovery of process models from event logs. These models provide insights and enable various types of model-based analysis. This paper demonstrates that the discovered process models can be extended with information to predict the completion time of running instances. There are many scenarios where it is useful to have reliable time predictions. For example, when a customer phones her insurance company for information about her insurance claim, she can be given an estimate for the remaining processing time. In order to do this, we provide a configurable approach to construct a process model, augment this model with time information learned from earlier instances, and use this to predict e.g., the completion time. To provide meaningful time predictions we use a configurable set of abstractions that allow for a good balance between “overfitting” and “underfitting”. The approach has been implemented in ProM and through several experiments using real-life event logs we demonstrate its applicability.     

Configurable multi-perspective business process models

A configurable process model provides a consolidated view of a family of business processes. It promotes the reuse of proven practices by providing analysts with a generic modeling artifact from which to derive individual process models. Unfortunately, the scope of existing notations for configurable process modeling is restricted, thus hindering their applicability. Specifically, these notations focus on capturing tasks and control-flow dependencies, neglecting equally important ingredients of business processes such as data and resources. This research fills this gap by proposing a configurable process modeling notation incorporating features for capturing resources, data and physical objects involved in the performance of tasks. The proposal has been implemented in a toolset that assists analysts during the configuration phase and guarantees the correctness of the resulting process models. The approach has been validated by means of a case study from the film industry.     

Bayesian network based business information retrieval model

The quality of business information can significantly affect the operation level of enterprise. This paper analyses the problem of business information retrieval (BIR). A Bayesian Network Based business information retrieval model (BN-BIRM) is proposed by means of Bayesian network (BN) and information retrieval (IR) theory and a method for query adaptation is presented. In this model the customized query requirement of enterprise (CQR) is expressed in terms of the predefined illustrative documents related to business domain. The similarities between the documents and the query are evaluated with the conditional probabilities among the nodes in the BN. In the experiments, BN-BIRM is compared with the Belief Network model based on vector space model (VSM) ranking strategy and the Inference Network model based on TF-IDF ranking strategy. The experimental results show that BN-BIRM is effective for collecting business information on a large scale.

模型驱动的业务流程建模工具

业务流程管理与面向服务架构为企业的高效整合提供了解决方案。基于模型驱动开发理论,提出一个精炼的业务流程元模型,解决模型间的转换问题,探讨模型实例控制流结构和语义的校验方法,根据模型驱动架构设计并实现基于该元模型的流程建模工具。     

一种目标驱动的移动业务流程的分析方法

随着移动互联网的发展,如何改进现有的业务流程来更好地满足用户的需求成为企业普遍面临的问题。然而,对于企业中哪些业务需要移动化以及如何移动化,目前仍然缺乏相应的分析方法。针对该问题,提出一种基于目标的移动业务流程分析方法。该方法认为企业的各个业务流程都是为了满足一定的用户需求,因此提出建立企业业务流程模型与用户需求模型之间的对应关系,然后通过识别移动环境下用户需求的变化来改进企业的业务流程。以一个医院的业务流程为案例说明了所提方法的可行性。     

科研机构科技信息管理平台总体架构与功能设计

介绍了科研机构科技信息管理平台的科技管理信息系统和科技信息服务系统及其子系统,并对各子系统的功能模块和业务流程进行了详细介绍,对科研机构研发和建设科技信息管理平台具有重要的借鉴意义.