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Yoshio Tateno

dblp:70/6193 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 3

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.

Interdisciplinary, comprehensive, and emerging computing
3 papers
Bioinformatics and computational biology · 63% Medical and health informatics · 37%
Databases, data mining, and information retrieval
1 paper
Database theory · 100%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › biomedical text mining
biomedical event extraction
0.112008
BioCaster: detecting public health rumors with a Web-based text mining system · Bioinform. 2008
Bioinformatics and computational biology
biomedical text mining
0.112008
BioCaster: detecting public health rumors with a Web-based text mining system · Bioinform. 2008
Bioinformatics and computational biology › biomedical text mining
named entity recognition
0.112008
BioCaster: detecting public health rumors with a Web-based text mining system · Bioinform. 2008
Medical and health informatics › public health › public health informatics
outbreak detection
0.112008
BioCaster: detecting public health rumors with a Web-based text mining system · Bioinform. 2008
Medical and health informatics › public health › public health informatics
public health surveillance
0.112008
BioCaster: detecting public health rumors with a Web-based text mining system · Bioinform. 2008
Bioinformatics and computational biology › data integration
database integration
0.011994
Toward Unification of Taxonomy Databases in a Distributed Environment · ISMB 1994
Database theory
database schema
0.011998
Formal design and implementation of an improved DDBJ DNA database with a new schema and object-oriented library · Bioinform. 1998
Distributed systems
distributed data processing
0.011994
Toward Unification of Taxonomy Databases in a Distributed Environment · ISMB 1994

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

topic classification · 0.1ontology-based text mining · 0.1entity-relationship modeling · 0.0associative information structure · 0.0
YearPublicationVenuePosition
2008 BioCaster: detecting public health rumors with a Web-based text mining system
abstract
SUMMARY: BioCaster is an ontology-based text mining system for detecting and tracking the distribution of infectious disease outbreaks from linguistic signals on the Web. The system continuously analyzes documents reported from over 1700 RSS feeds, classifies them for topical relevance and plots them onto a Google map using geocoded information. The background knowledge for bridging the gap between Layman's terms and formal-coding systems is contained in the freely available BioCaster ontology which includes information in eight languages focused on the epidemiological role of pathogens as well as geographical locations with their latitudes/longitudes. The system consists of four main stages: topic classification, named entity recognition (NER), disease/location detection and event recognition. Higher order event analysis is used to detect more precisely specified warning signals that can then be notified to registered users via email alerts. Evaluation of the system for topic recognition and entity identification is conducted on a gold standard corpus of annotated news articles. AVAILABILITY: The BioCaster map and ontology are freely available via a web portal at http://www.biocaster.org.
Nigel Collier, Son Doan, Ai Kawazoe, Reiko Matsuda Goodwin, Mike Conway, Yoshio Tateno, Hung Quoc Ngo 0002, Dinh Dien, Asanee Kawtrakul, Koichi Takeuchi, Mika Shigematsu, Kiyosu Taniguchi
Bioinform.6
1998 Formal design and implementation of an improved DDBJ DNA database with a new schema and object-oriented library
abstract
MOTIVATION: The DNA Data Bank of Japan (DDBJ) has developed a new DNA database system with a new schema design to accommodate rapid change and growth of requirements on the system. RESULTS: The new schema and systems were created using an object-oriented design approach. The design was accomplished in accordance with ANSI/SPARC three-level schema architecture. First, the conceptual schema was designed using a functional model named AIS (associative information structure) and was visualized in extended diagram format. The model is a natural extension of an ER (entity relationship) model and describes real-world objects in binary associations between entities with the concept of order. Second, the schema was mapped on a relational database as a physical schema. All details are concentrated in this schema and the layer lying above enjoys physical independence. Finally, as another layer, external modeling was introduced for the database applications interface. It provides set-at-a-time basis operations and was implemented as a C++ object-oriented library. On this common framework of a new schema, a new annotator's workbench named Yamato II and a World Wide Web (WWW) submission system named Sakura have been successfully developed to improve drastically daily transactions in the DDBJ. AVAILABILITY: Sakura is available at the following address: http://sakura.ddbj.nig.ac.jp. CONTACT: [email protected]
Toshitsugu Okayama, Takuro Tamura, Takashi Gojobori, Yoshio Tateno, Kazuho Ikeo, Satoru Miyazaki, Kaoru Fukami-Kobayashi, Hideaki Sugawara
Bioinform.4
1994 Toward Unification of Taxonomy Databases in a Distributed Environment
Hajime Kitakami, Yoshio Tateno, Takashi Gojobori
ISMB2