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Knowledge Base Lab
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The lab finds knowledge in vast amounts of data and reorganizes it into a form that can be used.
AboutAbout the lab
Discovering, organizing, and reusing knowledge.
The Knowledge Base Lab studies methods for finding useful knowledge and information in vast amounts of data.
It also aims to combine the extracted information with existing knowledge, organize and systematize it, and turn it into knowledge that can be used again and again.
The lab approaches this process of discovering, organizing, and reusing knowledge from the viewpoint of information similarity and abstraction, and studies it through both theory and experiments.
It also works on ways to link the results of machine learning, such as deep learning, with existing knowledge, and to solve problems in collaboration with people.
Key terms
- Knowledge discovery
- Finding useful relationships and rules in large amounts of data that people had not noticed
- Exploratory search
- A way of searching in which the user starts without a clear idea of what they want, and adjusts how they search while looking at the results
- Linked Open Data
- A mechanism for publishing data, linked to one another, so that anyone can use it
NewsLab news
A paper by Prof. Yoshioka and colleagues was published in REVIEW OF SOCIONETWORK STRATEGIES
A paper by Prof. Yoshioka and colleagues was published in ACS CATALYSIS
A paper by Associate Professor Li and colleagues was published in IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
A paper by Prof. Yoshioka and colleagues was published in Rev. Socionetwork Strateg.
ResearchResearch themes
From the viewpoint of information similarity and abstraction, the lab studies the discovery, organization, and reuse of knowledge. Its targets include a variety of information sources such as scholarly papers, the Web, Wikipedia, and chemical reaction data.
*Illustrative imageKnowledge discovery from paper databases
In collaboration with researchers in specific fields, the lab builds paper databases that are useful for research. It works on extracting information from papers, supporting the search of figures and tables by attributes such as materials and manufacturing methods, and building databases for research groups.
*Illustrative imageTechnologies for exploratory search
The lab supports searches that begin without a clear idea of what the user is looking for. It presents multi-perspective information contained in search results, such as person names, organization names, and positive or negative opinions, to suggest ways to narrow down results, and it compares multiple websites to extract distinctive information.
*Illustrative imageKnowledge extraction from Wikipedia
Treating Wikipedia, the largest encyclopedia on the Internet, as a large-scale source of knowledge, the lab extracts knowledge by focusing on the categories used to organize information, and publishes it as Linked Open Data.
*Illustrative imageDatabases of chemical reaction pathways
In designing chemical reactions, reaction pathways are considered by combining materials and catalysts. The goal is to design databases of chemical reactions produced under various conditions so that experimental chemists can search them according to their purposes.
MembersFaculty
Members of the Knowledge Base Lab include faculty and doctoral, master's, and undergraduate students.As of 2026
- ProfessorMasaharu Yoshioka
- Associate ProfessorJiyi Li
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “UIUC Library Main Stacks” Chevsapher / CC0 (cropped)
- Knowledge discovery from paper databases: “Stack of journals and books in the Central Geological Survey Library, MOEA” Kai3952 / CC BY-SA 4.0 (cropped)
- Technologies for exploratory search: “Magnifying glass with focus on paper” Niabot / CC BY-SA 3.0 (cropped)
- Knowledge extraction from Wikipedia: “Social Network Analysis Visualization” Martin Grandjean / CC BY-SA 3.0 (cropped)
- Databases of chemical reaction pathways: “Fluorescense Handful of light” Mateusz Urban / CC BY 4.0 (cropped)
- Related lab (Structured Intelligence Lab): “Costa's Minimal Surface” Anders Sandberg / CC BY-SA 3.0 (cropped)
- Related lab (Information Knowledge Network Lab): “Code on computer monitor (Unsplash)” Markus Spiske markusspiske / CC0 (cropped)
- Related lab (Media Creation Lab): “Photomosaic WLM2014 Winner” user:Fuzzypiggy / CC BY-SA 3.0 (cropped)
- Related lab (Algorithms Lab): “Sorting shellsort anim” Simpsons contributor / CC0 (cropped)
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