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.

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.

The advancement of the Internet of Things, big data, and mobile computing leads to the need for smart services that enable the context awareness and the adaptability to their changing contexts. Today, designing a smart service system is a complex task due to the lack of an adequate model support in awareness and pervasive environment. In this paper, we present the concept of a context-aware smart service system and propose a knowledge model for context-aware smart service systems. The proposed model organizes the domain and context-aware knowledge into knowledge components based on the three levels of services: Services, Service system, and Network of service systems. The knowledge model for context-aware smart service systems integrates all the information and knowledge related to smart services, knowledge components, and context awareness that can play a key role for any framework, infrastructure, or applications deploying smart services. In order to demonstrate the approach, two case studies about chatbot as context-aware smart services for customer support are presented.

Abstract-Today a lot of digital evidences for crime investigation includes a geospatial component. This data comes from various sources such as smartphones, tablets, navigation systems, digital camera with global positioning system (GPS), etc. The geospatial data plays a crucial role in crime investigation such as helping to tracking suspects, profiling serial offenders, recognizing trends in criminal activities, just a few. Many techniques and Geographic Information Systems (GIS) tools have been used to extract, analyse and visualise geospatial data. However, in some specific circumstances, the existing tools are not suitable for use as they don't meet investigators' needs. This paper presents a bespoke forensic GIS tool based on specific requirements of the investigators of a law enforcement Department. Firstly the paper discusses some existing forensic GIS tools/environments in practices, and then it presents some investigators requirements and show the unsuitability of the existing tools. The paper continues with the presentation of the system architecture of the new tool and its components. It also introduces various applications and use cases which have been deploying at the Department as an evaluation of the developed tool.

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