Knowledge Information Systems Course

SATOH Tetsuji (Professor)  Best Faculty Member 2014 (Research)

Theme : Information Access, Mapping the Knowledge and Community Analysis, and Contents Engineering

The spread of the Internet has accelerated the transmission of personal information transmission and created a new environment where we can access the information anytime. In this environment, content is composed of fragmentary information written by many writers and related mutually. I study the field of data engineering; examples are Information Access Technology, which describes the structure of the intricately related information network as knowledge and accesses it easily, component technologies to build participatory digital libraries or map technology of knowledge space adapted to individuals and situations, and the elucidation of formation and a change of the author community.

SUZUKI Nobutaka (Professor)  Chief, Knowledge Information Systems Course

Theme : XML, Structured Documents,and Algorithms

Structured documents, such as XML and HTML, have become the de facto standard data format on the Web and have been spreading rapidly. On the other hand, a number of important problems on schema languages (e.g., DTD, W3C XML Schema) and query languages (e.g., XPath) have been shown to be intractable. One of my research interests is to find efficient algorithms for solving such intractable problems (e.g., identifying subclasses of problems that can be solved efficiently).

UDA Norihiko (Professor)  

Theme : Digital Library, Sharing of Information Resources, and Elucidation of Knowledge Phenomena

The objective of the College of Knowledge and Library Sciences, School of Informatics is “The elucidation of a knowledge phenomenon.” We acquire knowledge from teachers or books, although there are many things that seem natural but are not comprehended. An example is the mechanism of communicating knowledge—what kind of “knowledge” we share when we use the “records” saved in the library or the Web. I study the technology directly linked to a knowledge phenomenon through the construction of the information system for sharing information resources. The digital library is the advanced social framework that manages the transfer and sharing of knowledge.

KATO P. Makoto (Associate Professor)  

Theme : Data Search, Web Data Mining, Search Behavior Analysis

The goal of my research is to encourage people’s data-driven decision making by realizing easy access to knowledge inferred from quantitative data, for counteracting inaccurate or uncertain information on the Web. Topics of my interest include crawling, organization, search, understanding, summarization, reasoning, presentation, and search behavior understanding of data, especially, statistical data published on the Web, based on machine learning techniques.

SAKAGUCHI Tetsuo (Associate Professor)  

Theme : Anti-spam Technologies for E-mail, Technologies of Applications on the Next-Generation Internet, and the Development of Systems which Boost the Storing and Sharing of Information

On the Internet, the opportunities and methods of getting and transmitting information are increasing but people have not yet been able to master most of them. In e-mail communication, it is essential to sift out spam from important e-mail messages. We can also use the Internet for wide-ranging purposes, not only in accessing the next-generation WWW such as WEB2.0. Thus, I study technical developments that enable humans to store and share information easily for proper purposes through the Internet.

SEKI Yohei (Associate Professor)  

Theme : Information Access, Natural Language Processing, and Communication Support

My research interests lie in the area of information access technologies (IAT) from texts, such as news, the Web, etc.—in particular, sentiment analysis, summarization, and multilingual application. My recent work includes collaborative annotation technologies based on collective intelligence, cross-media (or cross-document genre) IAT, and evaluations on IAT.

TAKAKU Masao (Associate Professor)  

Theme : Information Retrieval, Information Behavior, and Digital Library

My research area is information retrieval and information integration systems. Recent research explores an effective methodology on creating, disseminating, managing and providing digital documents, and develops an user study based approach on how people seek documents and learn from them.

TEZUKA Taro (Associate Professor)  

Theme : Machine Learning, Time Series Analysis

I am working on developing methods of time series analysis based on machine learning. In addition to theoretical analysis on signal processing that uses sparse modeling and kernel methods, I am implementing systems that utilize these methods for analyzing data obtained from neural activity.

TOKII Maki (Assistant Professor)  

Theme : Computational Physics, and Computer Simulation

“Magnetic materials” are applied to various aspects. An example is the “storage medium,” which records various data (information), such as letters, numeral values, images and sound, and the parts of the machine. My research interest is the theoretical calculation of magnetic materials.

ITO Hiroyoshi (Assistant Professor)  

Theme : Machine Learning, Social Network Analysis, Human Computation

I have studied machine learning models especially theories and applications of matrix decomposition for documents and social network analysis. I am interested in modeling the mechanisms of friendships in SNS, and cooperative model learning by human and machine.

MATSUMURA Atsushi (Assistant Professor)  

Theme : Knowledge Information Retrieval System, The Knowledge Excavation from Information, Analysis of Users Demand

The bigger the volume of information, the more important it is to be able to cull what is useful. I thus study the methods of finding and organizing knowledge from various sources, the relationship between situations and the demand, and the aim of utilizing the knowledge information retrieval systems that connect the people’s demand and the knowledge that is omnipresent in society.

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