A page on LabLog, a review site (not the lab's official page)
XML and Structured Documents (Suzuki) Lab
Machine-translated · View original
A lab that explores methods for efficiently solving problems involving structured documents such as XML.

AboutAbout the lab
Efficiently solving complex problems in structured documents.
Prof. Suzuki's lab conducts algorithm research on structured documents such as XML and HTML.
XML and HTML are widely used as de facto standard formats on the Web, but schema languages (such as DTD and W3C XML Schema) and query languages (such as XPath) involve many complex problems that cannot be solved within practical time.
The lab develops methods for solving such problems efficiently.
Key terms
- Structured documents
- Documents that have a structure, such as XML and HTML. They are widely used as de facto standard formats on the Web
- Schema language
- A language for defining the structure of data. Examples include DTD and W3C XML Schema
- Query language
- A language for finding the needed parts of data. Examples include XPath
ResearchResearch themes
Structured documents such as XML and HTML are widely used as de facto standard formats on the Web. The lab develops methods for efficiently solving problems related to their schema languages and query languages that are fundamental and important but cannot be solved within practical time.
*Illustrative imageEfficiently Solving Problems in Structured Documents
The lab develops methods for efficiently solving complex problems related to schema languages and query languages that cannot be solved within practical time. For example, it studies how to find subclasses of such problems that can be solved within practical time.
*Illustrative imageMatching Methods and Task Assignment
The lab studies matching with multidimensional preferences, and matching methods for cases where some participants have preferences and others do not. It also works on task assignment in crowdsourcing.
MembersFaculty
- ProfessorNobutaka Suzuki
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to XML and Structured Documents (Suzuki) Lab
Knowledge Lab (Mikiko Yokoyama)School of Informatics, College of Knowledge and Library SciencesKnowledge, language, and meaning. Using an analytic-philosop…
Information Retrieval Lab (Pham Huu Long)School of Informatics, College of Knowledge and Library SciencesInformation retrieval, machine learning, information managem…
Life Phenomena Elucidation LabSchool of Informatics, College of Knowledge and Library SciencesElucidation of biological phenomena, relationships among var…
Fusion Intelligence Design LabSchool of Informatics, College of Knowledge and Library SciencesMachine learning, social network analysis, and human computa…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “Digital Background” Smile_Eh / CC0 (cropped)
- Efficiently Solving Problems in Structured Documents: “Servers in a Rack” Abigor / CC BY-SA 3.0 (cropped)
- Matching Methods and Task Assignment: “Crowdsourcing process2” Dbrabham / CC BY 3.0 (cropped)
- Related lab (Knowledge Lab (Mikiko Yokoyama)): “Hamamatsu Municipal Sakuma Library reading room ac (4)” Asturio Cantabrio / CC BY-SA 4.0 (cropped)
- Related lab (Information Retrieval Lab (Pham Huu Long)): “Strand Bookstore shelves” Acebarry / CC0 (cropped)
- Related lab (Life Phenomena Elucidation Lab): “DNA sequence” MIKI Yoshihito from Sapporo City,Hokkaido., JAPAN / CC BY 2.0 (cropped)
- Related lab (Fusion Intelligence Design Lab): “Estimating Greenhouse Gas Concentration from Space using Machine Learning at Laboratoire LMD” Ecole polytechnique / Jérémy Barande / CC BY-SA 2.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.