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Yoshikiyo Kato

dblp:85/6678 · DBLP profile ↗
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5ranked-venue papers
2as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-authorSoftware engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Software maintenance and evolution · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software maintenance and evolution
software modularization
0.012001
Exploiting the Map Metaphor in a Tool for Software Evolution · ICSE 2001

Methods — techniques the papers use, named apart from their topics

visualization · 0.0map metaphor · 0.0
YearPublicationVenuePosition
2009 Identifying Information Sender Configuration of Web Pages
abstract
The source of a piece of information is a crucial element to consider when judging the credibility of that information. In this paper, we address the task of identifying the information source which is cast as a problem of identifying the {\em information sender configuration (ISC)} of a Web page. An information sender of a Web page is an entity which is involved in the publication of the information on the page. An ISC of a Web page describes the information senders of the page and the relationship among them. Information sender extraction is thus a subtask of identifying ISC, and we present a method for extracting information senders from Web pages and offer preliminary evaluation. The ISC provides a basis for deeper analysis of information on the Web.
Yoshikiyo Kato, Daisuke Kawahara, Kentaro Inui, Sadao Kurohashi, Tomohide Shibata
Web Intelligence1
2007 Narrative based Topic Visualization for Chronological Data
abstract
This paper proposes several methods visualizing topics in documents, (i) Word Colony represents the dependency relationships among term occurrences in a target document. It helps users get an overview of a document. Using Word Colony with pictures gives users a more intuitive impression, (ii) topic sequence is a concatenation of Word Colonies for segmented documents. It shows plots as a story's topic transitions. (Hi) topic matrix represents relations among topics based on latent contexts within a collection of documents. Several visualization techniques enable users to visualize topics in a document in different ways. It gives variations of viewpoint and triggers the creative imagination.
Mina Akaishi, Yoshikiyo Kato, Ken Satoh, Koichi Hori
IV2
2006 Strategies Emerging from Game Play: Experience from an Educational Game for Academic Career Design
Yoshikiyo Kato, Hiroko Shoji
KES (3)1
2004 Using Design Information to Support Model-Based Fault Diagnosis Tasks
Katsuaki Tanaka, Yoshikiyo Kato, Shinichi Nakasuka, Koichi Hori
KES2
2001 Exploiting the Map Metaphor in a Tool for Software Evolution
abstract
Software maintenance and evolution are the dominant activities in the software lifecycle. Modularization can separate design decisions and allow them to be independently revolved, but modularization often breaks down and complicated global changes are required. Tool support can reduce the costs of these unfortunate changes, but current tools are limited in their ability to manage information for large-scale software evolution. We argue that the map metaphor can serve as an organizing principle for the design of effective tools for performing global software changes. We describe the design of Aspect Browser, developed around the map metaphor, and discuss a case study of removing a feature from a 500000 line program written in Fortran and C.
William G. Griswold, Jimmy J. Yuan, Yoshikiyo Kato
ICSE3