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Kaneiwa Lab
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The lab studies artificial intelligence that learns the meaning of language and knowledge.
AboutAbout the lab
Teaching AI the meaning of language and knowledge.
The Kaneiwa Lab studies how artificial intelligence acquires and represents knowledge, and how it performs reasoning and learning based on that knowledge.
A distinguishing feature is that the lab targets data of meaning itself, namely language and knowledge, rather than images or audio.
Another research topic is AI that learns ontologies, which represent knowledge of a specific domain.
The lab has released FROST, a database and query language for the Semantic Web, and also works on research into programming support for game software using generative AI.
Key terms
- Deep learning
- A learning algorithm modeled on neurons in the human brain. It automatically learns features, including the meaning and context of words
- Embedding
- A method of having AI learn the concepts of words by using the semantic structure that words carry
- Ontology
- A conceptualization of things and events in the real world made by humans. It can represent knowledge of a specific domain
- Semantic Web
- A Web that handles meaning and content rather than mere text. It aims at an intelligent Web whose meaning computers can interpret
ResearchResearch themes
The Kaneiwa Lab studies how artificial intelligence acquires knowledge, how it represents that knowledge, and how it reasons and learns from it. The goal is AI that can handle the meaning of language and knowledge, the core of human thought, in a logically correct way.
*Illustrative imageLanguage Learning That Underpins Generative AI
Using deep learning, which underlies large language models such as ChatGPT, the lab has AI learn the semantic structure of language through embeddings. The aim is AI capable of logically correct reasoning.
*Illustrative imageAcquiring, Representing, and Reasoning with Knowledge
As basic research, the lab addresses how knowledge, which is essential to AI, is acquired, how it is represented on computers, and how reasoning and learning are carried out from it.
*Illustrative imageKnowledge Representation and Reasoning
The lab explores ways to represent the meaning of knowledge structurally and to derive unknown information from it. It studies reasoning systems that represent facts and background knowledge with symbols and derive answers to questions.
*Illustrative imageAI That Learns Ontologies
An ontology conceptualizes things and events in the real world to represent knowledge of a specific domain. The lab aims to build AI that learns the properties of categories and technical terms from data and can estimate answers to questions.
MembersFaculty
The members of the Kaneiwa Lab are faculty and doctoral, master's, and undergraduate students.
- ProfessorKen Kaneiwa
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
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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: “Bookshelves in Faculty of Arts Library, Chulalongkorn University” Geonuch / CC BY-SA 4.0 (cropped)
- Language Learning That Underpins Generative AI: “Numerical Keys on a Vintage Typewriter” Mathieu Landretti / CC BY-SA 4.0 (cropped)
- Acquiring, Representing, and Reasoning with Knowledge: “Ui Central Library, Crystal of Knowledge Library” Kaliper1 / CC BY-SA 4.0 (cropped)
- Knowledge Representation and Reasoning: “Diagram and chart of a logic gate” Fernanda Araújo. / CC0 (cropped)
- AI That Learns Ontologies: “GFO taxonomy tree” Leechuck at English Wikipedia / CC BY-SA 3.0 (cropped)
- Related lab (江上 周作 研究室): “Archaeological Linked Data Cloud (inverse)” Florian Thiery / CC BY 4.0 (cropped)
- Related lab (植野 真臣 研究室): “Bayesian network” Sachs K, Gifford D, Jaakkola T, Sorger P, Lauffenburger DA. / CC BY-SA 4.0 (cropped)
- Related lab (岡本 一志 研究室): “Shopping online with bank card” Bogdan Hoyaux / European Commission / CC BY 4.0 (cropped)
- Related lab (小泉 直也 研究室): “Stylised flower as light installation in public park Rudaki, Dushanbe, Tajikistan” Stesso / CC0 (cropped)
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