Thanh Thoa Pham Thi

Modelling information manufacturing systems

The manufacture of an information product (IP) is akin to the manufacture of a physical product. Current approaches to model such information manufacturing systems (IMS), lack the ability to systematically represent the dynamic changes involved in manufacturing (or creating) an IP. They also have limitations to consistently include aspects of process and information management at an organisational level. This paper aims to address these limitations and presents a modelling approach, the IASDO model. Our work also represents a framework to evaluate the quality of the meta-models for IMS modelling which enable us to compare the IASDO model with current approaches.

A Conceptual Framework for Service Modelling in a Network of Service Systems

Although the service sector has dominated the modern economies, there is still a little research on service modelling, especially on new models, methods and frameworks. In this paper, we present a conceptual framework for service modelling in a network of service systems based on network configuration and shared information. We study firstly the needs for the conceptual framework and present the related works in literature. Then we propose and analyse the architecture of our framework that consists of three different levels: the Service level concerned with service operation, the Service system level concerned with service creation, and the Network of service systems level concerned with service specification. A case study of this framework shows that our approach is pertinent and efficient. This paper also opens new directions for future research in service design and innovation.

Discovering business rules from business process models

Discovering business rules from business process models are of advantage to ensure the compliance of business processes with business rules. Furthermore it provides the agility of business processes in case of business rules evolution. Current approaches are limited on types of rules that can be discovered. This paper analyses the expression power of some popular business process modelling languages in embedding business rules in its presentation and provides indicators to extract various types of business rules from business process models.

Information-Driven Framework for Collaborative Business Service Modelling

In the context of a network of enterprises, the competitive advantage of each enterprise depends greatly on the ability to use network architectures to collaborate efficiently in business services. The paper introduces a conceptual framework, called the CBSM (Collaborative Business Service Modelling) framework, which provides an intellectual foundation for understanding thoroughly and modelling effectively collaborative business services. The paper begins by presenting the necessity for and principles of the conceptual framework. Then it presents the architecture of the CBSM framework that consists of three different levels: the service level for service operation, the service system level for service creation, and the service value creation network level for service proposal. The paper continues with a discussion and review of the relevant literature, followed by the conclusion and suggestions for further research.

Discovering dynamic integrity rules with a rules-based tool for data quality analyzing

Rules based approaches for data quality solutions often use business rules or integrity rules for data monitoring purpose. Integrity rules are constraints on data derived from business rules into a formal form in order to allow computerization. One of challenges of these approaches is rules discovering, which is usually manually made by business experts or system analysts based on experiences. In this paper, we present our rule-based approach for data quality analyzing, in which we discuss a comprehensive method for discovering dynamic integrity rules.

An Information System Quality Framework Based on Information System Architectures

Recent approaches view the Quality of Information Systems (IS) as the result of an IS development process and the quality of IS products. As quality is regarded as a multidimensional concept and its meaning depends on the context and the perspectives, many different IS quality frameworks and models are proposed. Typically, these frameworks include a set of characteristics, so-called quality factors, contributing to the quality of IS. Some approaches are based on the IS delivery process for the selection of quality factors; while some other approaches do not clearly explain the rationale for their selection. Moreover, often relations or impacts among selected quality factors are not taken into account. Quality aspects of information are frequently considered isolated from IS quality. The impact of IS quality on information quality seems to be neglected in most approaches. A systematic analysis of objective quality factors impacting on the overall quality of IS is necessary. This would provide a systematic view on IS quality as well as the rationale for selected quality factors. By identifying the root causes of defects, it would help to improve IS quality. Our research aims to propose such a quality framework based on Information System Architecture, as it allows understanding the elements and relations of IS. Focusing on IS architecture, we can identify the rationale of each quality factor that impacts on IS quality. Quality factors are identified for various abstraction levels of IS architecture. Besides, we also present impacts among different quality factors that help to analyze the root causes of IS defects.

Preparing Detailed 3D Building Models for Google Earth Integration

Today’s spatially aware users are becoming more interested in retrieving personalised and task relevant information, requiring detailed 3D city models linked to non-spatial attribute data. However, current implementations of 3D city models are typically LoD2 that don’t include geometric or attribute details about many visible features (e.g. rooms) of a building. As such, value-added applications developed for web-based and wireless platforms are limited to querying for available non-spatial business data at the building level only. To overcome this, geometrically accurate 3D building models are necessary to enable users to visualize, interact, and query for task specific non-spatial business data. This paper proposes a workflow for creating detailed 3D building models with LoD3 from TLS data and uploading these models into Google Earth so that users can then explore the non-spatial business data of a building and its sub-components (e.g. windows, doors, rooms). Processing bottlenecks of the proposed workflow for detailed 3D building reconstruction are also discussed.

Monitoring Information Quality Within Web Service Composition and Execution

The composition of web services is a promising approach enabling flexible and loose integration of business applications. Numerous approaches related to web services composition have been developed usually following three main phases: the service discovery is based on the semantic description of advertised services, that is, the functionality of the service, meanwhile the service selection is based on nonfunctional quality dimensions of service, and finally, the service composition aims to support an underlying process. Most of those approaches explore techniques of static or dynamic design for an optimal service composition. One important aspect so far is mostly neglected, focusing on the output produced of composite web services. In this chapter, in contrast to many prominent approaches, we introduce a data quality perspective on web services. Based on a data quality management approach, we propose a framework for analyzing data produced by the composite service execution. Utilizing process information together with data in service logs, our approach allows identifying problems in service composition and execution. Analyzing the service execution history, our approach helps to improve common approaches of service selection and composition.

MODELLING COLLABORATIVE SERVICES - The COSEMO Model

Despite the dominance of the service sector in the last decades, there is still a need for a strong foundation on service design and innovation. Little attention has been paid on service modelling, particularly in the collaboration context. Collaboration is considered as one of the solutions for surviving or sustaining the business in the high competitive atmosphere. Collaborative services require various service providers working together according to agreements between them, along with service consumers, in order to coproduce services. In this paper, we address crucial issues in collaborative services such as collaboration levels, sharing data and processes due to business interdependencies between service stakeholders. Subsequently, we propose a model for Collaborative Service Modelling – the COSEMO model, which is able to cover identified issues. We also apply our proposed model to modelling an example of Travelling services in order to illustrate the relevance of our modelling approach to the matter in hand.

Collaborative Business Service Modelling in Knowledge-Intensive Enterprises

Nowadays, knowledge-intensive enterprises, which offer knowledge-based products and services to the market, play a vital role in the knowledge-based economy. In the global networked age, collaborative business services have raised as one of the most important knowledge-intensive services that help enterprises to gain the competitive advantage. These services greatly depend on the ability to use network architectures to collaborate efficiently with business partners. This paper introduces the KB-CBSM Knowledge-Based Collaborative Business Service Modelling approach, which aims at providing a conceptual foundation for modelling effectively and improving incrementally collaborative business services in knowledge-intensives enterprises. The paper begins by presenting the necessity and principles of the KB-CBSM approach. Next, it presents the conceptual foundation that consists of three levels: Service value creation network, Service system and Service levels. The paper continues with a discussion and review of the relevant literature and ends with the conclusion and suggestions for further research.