Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Haruo Kimoto

dblp:41/5410 · DBLP profile ↗
← Back
3ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none

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

Databases, data management, data science and information retrieval · 3 · 1 first-authorArtificial intelligence and machine learning · 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.

Databases, data mining, and information retrieval
2 papers
Information retrieval · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval
evaluation		 0.011998
Lessons from BMIR-J2: A Test Collection for Japanese IR Systems · SIGIR 1998
Information retrieval › evaluation
test collection		 0.011998
Lessons from BMIR-J2: A Test Collection for Japanese IR Systems · SIGIR 1998
Information retrieval › document retrieval › concept-based retrieval
thesaurus-based retrieval		 0.011990
Construction of a Dynamic Thesaurus and its Use for Associated Information Retrieval · SIGIR 1990

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

term weighting · 0.0connectionist approaches · 0.0
YearPublicationVenuePosition
1998 Lessons from BMIR-J2: A Test Collection for Japanese IR Systems
Tsuyoshi Kitani, Yasushi Ogawa, Tetsuya Ishikawa, Haruo Kimoto, Ikuo Keshi, Jun Toyoura, Toshikazu Fukushima, Kunio Matsui, Yoshihiro Ueda, Tetsuya Sakai, Takenobu Tokunaga, Hiroshi Tsuruoka, Hidekazu Nakawatase, Teru Agata
 SIGIR4
1992 A Standard Naming Method of Data Elements Using a Semantic Dictionary
Jun Sekine, Masaru Nakagawa, Haruo Kimoto, Kiyoshi Kurokawa
 DEXA3
1990 Construction of a Dynamic Thesaurus and its Use for Associated Information Retrieval
abstract
An information retrieval system based on a dynamic thesaurus was developed utilizing the connectionist approach. The dynamic thesaurus consists of nodes, which represent each term of a thesaurus, and links, which represent the connections between nodes. Term information that is automatically extracted from user's relevant documents is used to change node weights and generate links. Node weights and links reflect a user's particular interest. A document retrieval experiment was conducted in which both a high recall rate and a high precision rate were achieved.
Haruo Kimoto, Toshiaki Iwadera
 SIGIR1