Research

From Knowledge Engineering Lab
Revision as of 03:45, 7 May 2019 by Kelab (Talk | contribs)

Jump to: navigation, search

AI-driven Dynamic Game Balancing

  • Project website [1]
  • Video []

Search Engine Optimization

  • Project website [2]
  • Video []

OurMovieSimilarity: Cognitive Similarity-based Recommendation

  • How to measure the cognitive similarity between users?
  • Project website [3]
  • Video []

Dakgalbi: Scalable Recommendation Framework based on Information Fusion

  • Data is represented as a matrix. There have many kinds of matrix based on the types of data. DakGalBi system is able to process the matrix by incremental consolidation. The more data it has received, the more accurate it produces the predictions.
  • Project website [4]
  • Video []

Sports Data Analytics

  • Project website [5]
  • Video []

BIBIDA: Big Bibliography Data Analytics

  • Project website [6]
  • Video []

Computational Negotiation: From Internet of Things to Internet of Agents

  • With the developing of Internet of Things (IoT), a new concept is introduced, which is named Internet of Agent (IoA), this concept enables connected agent into smart agent which includes three conceptual standpoints: Identification, Communication and Interaction. Our research focuses on the interaction of smart agents in terms of computational negotiation which is able to apply various domains such as smart transportation, smart home and so on.
  • Project website [7]
  • Video [8]

SocioScope: a Framework for Capturing Internet of Social Knowledge

  • Social data is one of important material for representing social activities. However, efficiently collecting social data from multiple sources is extremely hard due its big-data attributes. Moreover, discovering hidden patterns between social data to understand our society is actually a big challenge. Especially, knowledge around us is not stable but dynamically change over time, therefore, we need to refresh it promptly. SocioScope is created as an automatically tool to overcome aforementioned problems. In addition, other researchers can utilize SocioScope as a framework for reducing their effort time with essential tasks (i.e., collecting data, pre-processing data, and analyzing data).
  • Demo [9]
  • Video [10]

StoryQ: from Quantizing to Understanding Stories

  • This research project aims to model and analyze stories of the narrative work (i.e., artworks that contain stories) computationally. Our previous studies on this area are mainly based on the character network (i.e., social networks between characters that appear in the narrative work).
  • Project website [11]

Social RecSys

  • This is extended from MyMovieHistory project.
  • This application is personal diary about movie watching history, and you can see many information about the movies, analyzed your history using PC and Mobile.

MyMovieHistory

  • Collecting and analyzing personal lifelogging data on movies
  • Personalized recommender services on movies
  • MyMovieHistory WEBSITE

CoCharNet: Extracting Social Networks using Character Co-occurrence in Movies