Hangkyu Kim

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For efficiently managing Web Services (WS) transactions which are executed across multiple loosely-coupled autonomous organizations, isolation is commonly relaxed. A Web services operation of a transaction releases locks on its resources once its jobs are completed without waiting for the completions of other operations. However, those early unlocked(More)
For efficiently managing Web Services (WS) transactions which are executed across multiple loosely-coupled autonomous organizations , isolation is commonly relaxed. A Web service operation of a transaction releases locks on its resources once its jobs are completed without waiting for the completions of other operations. However, those early unlocked(More)
For the intelligent business process management, ebXML registry needs to efficiently store and process semantic information. Even though ebXML registry provides two basic information models to define and associate semantics between registry objects; e.g., classification information model and association information model, they cannot express all semantics(More)
Community structure is one of the most important and characteristic features of social networks. Numerous methods for discovering implicit user communities from a social graph of users have been proposed in recent years. However, most of them have performance and scalability issues which make them hardly applicable to population-wide analysis of modern(More)
In this paper, we propose an ontology-based lifelog management system, called OntLMS, which is built by utilizing the existing lifelog management system based on the relational data model. We design ontology for modelling lifelog data and provide both one-time and incremental conversion methods that transform lifelog data in the relational database into(More)
Social network users often want to send a message to a group of recipients. An algorithm that recommends other possible recipients given an initial set of recipients is introduced in this paper. The algorithm uses different types of local user data: profile, friendship graph, posts, and social interactions (likes, comments, tags). Experimental evaluation(More)
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