KEL RESEARCH PROJECT PORTAL
The Knowledge Engineering Laboratory (KEL) has extensive experiences with data mining, semantic, and recommender systems.
The KEL is currently studying on the computational processes of discovering patterns in the big data through diverse intelligent methods (e.g., artificial intelligence, machine learning, statistics, and database systems).



OurMovieSimilarity: Cognitive Similarity-based Recommendation
SELECT
BIBIDA: BIg BIbliography DAta analytics
SELECT
Dakgalbi: Scalable Recommendation Framework based on Information Fusion
SELECT
SocioPedia: Event Knowledge Entailment Framework
SELECT
TubePlunger: Understanding Political Polarities of Korean Political YouTube Channels
SELECT
Story Engineering: from Quantizing to Understanding Stories
SELECT
OurPlaces: Crowdsourcing Our Places for Cross-Cultural Recommendation
SELECT
FindingMetaphor: Understanding Metaphor in Literatures
SELECT
HuoYan: Outliers Detection by Graph Embedding
SELECT
ECE-LexiconCollector
SELECT
CompNego: Nature-inspired Computational Negotiation for Edges
SELECT