Takahide Matsutsuka

Model-based architecture for the Intranet

We propose a system called CEE (Cooperative Environment for Enterprise-computing) which is based on a new architecture for the Intranet. CEE works based on the enterprise model which consists of the organization, business function/process conforming to IDEFO, and resources such as persons and documents. CEE integrates enterprise information and applications based on the enterprise model and enable the following functions on the WWW. 1) CEE automatically generates and maintains WWW pages and links according to business objects in the enterprise model. 2) CEE manages documents linked to the enterprise model and provides check-in/out and version control functions. 3) CEE promotes concurrent engineering by providing notification on the creation or modification of the output document of a process to the succeeding processes. 4) CEE provides document-based project management on the IDEFO chart in addition to traditional time-based project management on the Gantt chart.

Enterprise model-based software architecture with server component integration

Many companies are seeking new information systems that support more business activities than current systems. Such a system should enable more rapid information collection and sharing, and promote increased automation. Furthermore, there is a strong technological demand for the integration of various business systems and rapid modification of business processes and rules embedded in the system. To meet this demand, we propose enterprise model-based software development and associated software architecture with integrated server components. An experimental but practical system has been developed and evaluated in projects located in various countries. This paper discusses the viability of enterprise model-based software architecture with integrated server components such as a business application system, a Web server, a workflow server, and a directory server.

An optimistic method for updating information in distributed collaborative work

Proposes a new method for updating information in distributed collaborative work. The effective performance of collaborative work distributed among several locations requires that information be replicated and freely updated in each distributed server. This is difficult to achieve with existing information-sharing methods such as the WWW and workflow. Our optimistic lock control method enables the direct updating of replicated information in any server while maintaining consistency among all the servers. A server failure is not critical to other servers because there is no master server. This method differs from the traditional master-slave method in which updates are performed in a specific master server. This paper also addresses the dynamic deployment of a new server. Our method is being used on a trial basis for an international software development project between Japan and India.

Applying Semantic Technologies to Public Sector: A Case Study in Fraud Detection

Fraudulent claims cost both the public and private sectors an enormous amount of money each year. The existence of data silos is considered one of the main barriers to cross-region, cross-department, and cross-domain data analysis that can detect abnormalities not easily seen when focusing on single data sources. An evident advantage of leveraging Linked Data and semantic technologies is the smooth integration of distributed data sets. This paper reports a proof-of-concept study in the benefit fraud detection area. We believe that the design considerations, study outcomes, and learnt lessons can help making decisions of how one should adopt semantic technologies in similar contexts.

Practical experiences of designing a distributed collaborative system

The PI-CEE(Project Information Cooperative Enterprise Environment) system is a project information management system that uses Java applications and is based on the model-based distributed collaborative work support concept. It is designed to achieve optimal performance with model-based Java applications for application to large-scale projects. We applied the first prototype of PI-CEE to a large-scale project. The result was twofold: memory use and response time worsened with increases in data quantity. Our design concept is based on doing four things: designing a server transaction system and database, implementing client cache management, making improvements in server-client communication, and multiple-server replication. We discuss our system, the general lessons that we learned from its application, and the problems we encountered and their resolutions.