Taehee Lee

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A base of clearly defined product information is a key foundation for an e-commerce system. The manipulation and exchange of semantically enriched and precise product information can enhance the quality of an e-commerce system and offer a high level of inter-operability with other systems. Product information consists of product attributes and the(More)
This paper proposes a novel way of automatically developing data warehouse configuration in rule-based CRM systems. Rule-based CRM systems assume that marketing activities are represented as a set of IF-THEN rules. Currently, to provide good quality CRM functionalities, CRM systems seek to combine conventional CRM methodologies with data warehousing(More)
A base of clearly defined product information is a key foundation for an e-commerce system. The manipulation and exchange of semantically enriched and precise product information can enhance the quality of an e-commerce system and offer a high level of interoperability with other systems. Product information consists of product attributes and the(More)
An ontology-based product-recommender system can help catalog administrators in B2B marketplaces maintain up-to-date product databases by acquiring mapping information between the new product data and existing data. The proposed approach is keyword-based and independent of the underlying physical structure of product ontology. With a Bayesian belief network(More)
The server placement algorithm is to locate the given number of cache servers at " proper " coordinates in the network. A typical objective to determine good locations may be simply to find the set of client clusters in which the Euclidean center of each cluster is the location of the cache server. We claim, however, that the objective should also consider(More)
Recently researchers have tried to apply ontology to the product information domain. From a practical point of view, a key problem to streamline this trend is how to make a product ontology database operational. Technical solutions should consider the characteristics that a pragmatic product ontology database contains; first, the database size is quite(More)
As the wide use of online business transactions, the volume of product information that needs to be managed in a system has become drastically large, and the classification task of such data has become highly complex. The heterogeneity among competing standard classification schemes makes the problem only harder. However, the classification task is an(More)
In e-commerce environment, business partners exchange product information in the form of e-catalogs. Since each business player uses his/her own classification and identification code for describing e-catalogs, it is not easy to match his/her product with the e-catalog requested by his/her partner. To date, these matches have been accomplished through the(More)