E-Commerce

282E-Commerce5. Related worksThe distinctive features of our research are the application of the concept of topologicalprocessing, which deals with a subset as an element, and that the cellular space extends thetopological space, as seen in Section 2. The conceptual model in [2] is based on an ER modeland is the model where tree structure is applied. The approach in [3] aims at grouping dataof a graph structure where each node has attributes. The ER model, graph structure and treestructure are expressed as special cases of topological space, and a node with attributes isexpressed as one case of the cellular space. So these models are included in the function ofCDS. Many works dealing with XML schema have been done. The approach in [4] aims atintroducing simple formalism into XML schema definition for its complexity. Anequivalence relation of elements is supported in CDS, so that complexity and redundancy inschema definition are avoided if CDS is employed, and a homotopy preservation function isintroduced into CDS in the model for preserving information. As a result, the problemsdescribed in [5] do not need to be considered in CDS. Some works of inductive dataprocessing have been done recently. CDS also can be considered as one of those inductivesystems. The goal of research on the inductive database system of [7] is to develop amethodology for integrating a wide range of knowledge generation operators with arelational database and a knowledge base. The main achievement in [8] is a new inductivequery language extending SQL, with the goal of supporting the whole knowledge discoveryprocess, from pre-processing via data mining to post-processing. If you use the methods in[7], [8], the attributes according to users’ interests have to be designed in advance. Thereforeit is difficult to cope with changes in users’ interests. If you use CDS, a formula for atopological space without an attribute as a dimension in database designing can be createdso that the attributes of objects don’t need to be designed in advance. Plenty of CASE toolsare currently available, but they are effective for data structure that is already defined. Thedifferences from CDS are mainly that we apply a novel model, IMAH, for building CDS,and that CDS, not only visualizes objects, but can also model business logic using FormulaExpression, so that, if spaces are designed, they function immediately.6. Conclusion and Future WorkIn this paper, we have introduced an automatic attaching function into CDS. We haveapplied CDS to the development of a file permission information management system andverified its effectiveness. Using this function with the condition formula search, a user canget the data he/she wants from formulas as data storage according to user requirements.There are two points that we should emphasize for future work. First, the search conditionsof users, as well as data for input/output, are expressed as formulas. This certainly bringsthe system which is developing, including user requirements recursively. This will beconnected to the implementation of a process graph, which is a model for automatingbusiness processes. Second, the quality of the system using CDS is closely dependent onhow the formulas are designed. The design of formulas is fully various, because FormulaExpression is very simple in describing business objects and their relations. Therefore, thecreativity of a system developer who designs formulas becomes more important.