H
Hangkyu Kim
Researcher at KAIST
Publications - 8
Citations - 108
Hangkyu Kim is an academic researcher from KAIST. The author has contributed to research in topics: Compensating transaction & Online transaction processing. The author has an hindex of 4, co-authored 8 publications receiving 107 citations.
Papers
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Book ChapterDOI
Maintaining consistency under isolation relaxation of web services transactions
TL;DR: This paper proposes a mechanism to ensure the consistent executions of isolation-relaxing WS transactions, and proposes a new Web services Transaction Dependency management Protocol (WTDP), which helps organizations manage the WS transactions easily without data inconsistency.
Journal ArticleDOI
A framework for ensuring consistency of Web Services Transactions
TL;DR: This paper proposes a mechanism to ensure the consistent executions of isolation-relaxing WS transactions, and proposes a new Web services Transaction Dependency management Protocol (WTDP), which helps organizations manage the WS transactions easily without data inconsistency.
Patent
System for aborting web services automatically and method thereof
Chankyu Park,Daeha Lee,Jinyoung Moon,Byoung Youl Song,Kim Roc Kwon,Seung Woo Jung,Hyun Kyu Cho,Ham Ho Sang,Yoon-Joon Lee,Jungsook Kim,Choi Seung Rak,Hyukjae Jang,Hangkyu Kim +12 more
TL;DR: In this article, a protocol manager generates and manages a first subtransaction object by a request of the second web service application program, and a local compensator compensates the first sub-transaction if a global transaction coordinator sends a command to compensate a second subtransactions already committed.
Proceedings ArticleDOI
Semantic Business Registry Information Model
TL;DR: This paper proposes a new ebXML registry information model, i.e., a semantic information model (SIM), to express OWL constructs in ebX ML registries, and addresses how to embed OWL semantics in the eb XML registry.
Proceedings ArticleDOI
OntLMS: An Ontology-Based Lifelog Management System
TL;DR: An ontology-based lifelog management system, called OntLMS, is built by utilizing the existing lifelogs management system based on the relational data model, which supports expressive, user-centric queries such as a structured query and a keyword query, as well as a visual query.