Mikyoung Lee
Pai Chai University
10 Papers
10 Citations
Mikyoung Lee is an academic researcher from Pai Chai University. The author has contributed to research in topics: Ontology (information science) & Semantic reasoner. The author has an hindex of 2, co-authored 10 publications.
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Papers
Application of Trend Detection of Technical Terms to Technology Opportunity Discovery
Mi-Nyeong Hwang,Min-Hee Cho,Myunggwon Hwang,Mikyoung Lee,Do-Heon Jeong +4 more
- 08 Dec 2011
TL;DR: This paper proposes a new approach to trend detections for technical terms extracted from academic literature and describes its application and introduces how the proposed method can be applied to InSciTe, a service that supports technology opportunity discovery (TOD).
26
Patent
System and method of automatic complete searching using entity type for database and storage media having program source thereof
Hanmin Jung,Mikyoung Lee,Pyung Kim,Seung Woo Lee,Dong In Park,Won-Kyung Sung +5 more
- 31 Oct 2008
TL;DR: In this article, an automatic completion type search system and method using the entity types of a DB and a storage medium in which a program source therefor is recorded is described, where entities retrieved using an entered query term are classified on a type basis and displayed in an automatically completed list.
3
Patent
Rule reasoner, and dynamic materialization method for wild pattern rules including the same
Seungwoo Lee,Hanmin Jung,Mikyoung Lee,Jae Han Kim,Beom Jong You,Pyung Kim +5 more
- 01 Dec 2009
TL;DR: In this article, a Rete network builder for reasoning rule reasoner includes: a network builder, a network expander, and a network implementer for generating reasoned triple by implementing the network builder or generating reasoning rule where the wild pattern rule is dynamically materialized.
2
Patent
Rules reasoner, method for dynamically materializing wild pattern rules having the same
Seungwoo Lee,Hanmin Jung,Pyung Kim,Mikyoung Lee,Jae Han Kim,Beom Jong You +5 more
- 02 Jun 2011
TL;DR: In this article, a regulation inference engine and dynamic materializing method including a wild pattern regulation are provided to increase the deduction performance and effectiveness of a regulation by reducing a join computation and the number of join nodes.
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