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).



Ongoing Projects

OurMovieSimilarity: Cognitive Similarity-based Recommendation
BIBIDA: BIg BIbliography DAta analytics
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SocioPedia: Event Knowledge Entailment Framework
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TubePlunger: Understanding Political Polarities of Korean Political YouTube Channels
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OurPlaces: Crowdsourcing Our Places for Cross-Cultural Recommendation
HuoYan: Outliers Detection by Graph Embedding
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ECE-LexiconCollector
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CompNego: Nature-inspired Computational Negotiation for Edges
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DynamicSeo: Search Engine Optimizer
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KEpedia: Multiple-domains Knowledge Graph Visualization and Search System
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Best 11
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RainbowSocial
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Finished Projects

Dakgalbi: Scalable Recommendation Framework based on Information Fusion
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Story Engineering: from Quantizing to Understanding Stories
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FindingMetaphor: Understanding Metaphor in Literatures
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