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Featured researches published by Akane Takezaki.


international semantic technology conference | 2016

Designing of Ontology for Domain Vocabulary on Agriculture Activity Ontology (AAO) and a Lesson Learned

Sungmin Joo; Seiji Koide; Hideaki Takeda; Daisuke Horyu; Akane Takezaki; Tomokazu Yoshida

This paper proposes Agriculture Activity Ontology (AAO) as a basis of the core vocabulary of agricultural activity. Since concepts of agriculture activities are formed by the various context such as purpose, means, crop, and field, we organize the agriculture activity ontology as a hierarchy of concepts discriminated by various properties such as purpose, means, crop and field. The vocabulary of agricultural activity is then defined as the subset of the ontology. Since the ontology is consistent, extendable, and capable of some inferences thanks to Description Logics, so the vocabulary inherits these features. The vocabulary is also linked to existing vocabularies such as AGROVOC. It is expected to use in the data format in the agricultural IT system. The vocabulary is adopted as the part of “the guideline for agriculture activity names for agriculture IT systems” issued by Ministry of Agriculture, Forestry and Fisheries (MAFF), Japan. Also we investigated the usefulness of the ontology as the method for defining the domain vocabulary.


annual srii global conference | 2014

Youth-Mediated Knowledge Transfer and Data Acquisition Service for Agricultural Decision Support: A Trial for Illiterate Farmers in Vietnam

Seishi Ninomiya; Yumiko Mori; Toshiyuki Takasaki; Takaharu Kameoka; Atsuko Tanaka; Kyosuke Yamamoto; Kazuhiro Nishioka; Tran Than Thi Ngan Hoa; Akane Takezaki; Ryoichi Ikeda

Proper technology transfer based on scientific data is inevitable for farmers to promote sustainable agriculture which is a common target of modern food production. In under-developing countries, illiteracy of farmers is one of the major reasons for them to receive sufficient information and knowledge for such sustainable food production. In this study, we conducted a trial to examine effectiveness of an idea to transfer agricultural knowledge and information to illiterate farmers through their children educated at school as messengers between their illiterate parents and remote experts by utilizing several ICT tools including a multilingual machine translator which can bridge the famers and even foreign experts.


World conference on agricultural information and IT, IAALD AFITA WCCA 2008, Tokyo University of Agriculture, Tokyo, Japan, 24 - 27 August, 2008 | 2008

Development of a dictionary for the morpheme analysis of agricultural information.

Akane Takezaki; M. Saito; A. Okabe; T. Nagatsuka; S. Ninomiya


Agricultural Information Research | 2012

Field and Weather Monitoring with Youths as Sensors for Agricultural Decision Support

Takashi Togami; Seishi Ninomiya; Kyosuke Yamamoto; Yumiko Mori; Toshiyuki Takasaki; Yasukazu Okano; Ryoichi Ikeda; Akane Takezaki; Takaharu Kameoka


Agricultural Information Research | 2009

Construction of an agricultural linguistic resource by combining automatically extracted terms with AGROVOC.

Daisuke Horyu; Takuji Kiura; Akane Takezaki; Mitsuyuki Saito; Akiko Okabe


F1000Research | 2017

Development and application of agriculture ontologies

Hideaki Takeda; Sungmin Joo; Daisuke Horyu; Akane Takezaki


international semantic web conference | 2016

Agriculture Activity Ontology : An Ontology for Core Vocabulary of Agriculture Activity.

Sungmin Joo; Seiji Koide; Hideaki Takeda; Daisuke Horyu; Akane Takezaki; Tomokazu Yoshida


F1000Research | 2016

A vocabulary based on agriculture activity ontology to facilitate incompatibility among agriculture IT system

Hideaki Takeda; Sungmin Joo; Daisuke Horyu; Akane Takezaki


Agricultural Information Research | 2016

Characteristics Analysis of Customer Vocabulary from Vegetable-Product Reviews

Akane Takezaki; Yuji Oura; Yoshinobu Kono; Takuji Kiura; Takeshi Hayashi


Agricultural Information Research | 2016

Concept Extraction Methods for Agricultural Product–Related Texts Based on Natural Language Processing Techniques: A Case Study of Online Vegetable-Product Reviews

Akane Takezaki; Yuji Oura; Yoshinobu Kono; Takuji Kiura; Takeshi Hayashi

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Daisuke Horyu

National Agriculture and Food Research Organization

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Takuji Kiura

National Agriculture and Food Research Organization

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Hideaki Takeda

National Institute of Informatics

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Sungmin Joo

National Institute of Informatics

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Akiko Okabe

National Agriculture and Food Research Organization

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