九州大学 研究者情報
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廣川 佐千男(ひろかわ さちお) データ更新日:2018.06.22



主な研究テーマ
データマップ法と概念グラフによる次世代検索エンジンの研究開発
キーワード:検索エンジン マトリックス検索 概念グラフ 大学発ベンチャー
2006.08.
リンク情報とWebデータの半構造性を融合した高品質コンテンツ・マイニング
キーワード:Webマイニング、データマイニング、WWW、XML、文書検索、検索エンジン、特許検索、データベース
2001.04.
専門検索サイトの動的統合による専門検索サイトの動的統合による次世代検索システムの研究開発
キーワード:検索エンジン メタサーチ
1993.04.
構成的論理の推論構造の研究
キーワード:証明論 型理論 ラムダ計算 線形論理 適切さの論理 直観主義論理
1997.01.
従事しているプロジェクト研究
テキストマイニングによる医療プロセスのキーファクター抽出
2015.04, 代表者:廣川佐千男, 九州大学
医療機関には、検査などの数値データと医師や看護師による診療記録などのテキストデータが蓄積されている。電子カルテの普及と医療情報の標準化により、その量は飛躍的に増えているが、十分に活用されていない。
本研究の第一の目的は、これんらの医療情報に基く医療プロセスのキーファクター抽出法の開発である。機械学習SVM(support vector machine) の属性撰択を発展させ、医療プロセスの各段階で得られる因子(数値データやテキスト中の重要語)が、回復や退院という医療活動の最終目的にどれだけ影響を与えるかを定量的に評価することでキーファクターを特定する。
第二の目的は、抽出されたキーファクターの妥当性を検証する対話的可視化システムの構築えある。例えば回復が長引く患者のキーファクターが他の数値データや単語とどのように関連するかを可視化することで医療プロセスの意味を解釈できるシステムを開発する。.
データマップ法と概念グラフによる次世代検索エンジンの研究開発
2006.08, 代表者:廣川佐千男, 九州大学
インターネットの普及により、大量の情報を容易に収集できるようになったが、一方では氾濫する情報の全体像の把握と効率的な絞込みが大きな課題となっている。特に、一般に使われているYahoo!、Google等の検索エンジンのように情報が一次元的に表示される形式では、大量の情報を閲覧することは困難である。本研究では、こうした大量の情報に対して、全体像を把握し、さまざまな視点から情報を眺めることによって、情報の傾向を見出し、同時に目的とする情報も入手できるようにするために、情報を複数の観点から多次元的に分析すると同時に、特徴語の相関関係をツリー状に表示するための概念ツリー表示するデータマップ検索エンジンの開発を行う。
科学技術振興機構(JST) 平成18年度「独創的シーズ展開事業大学発ベンチャー創出推進」新規課題として採択され、3年間のプロジェクトとして実施している。.
研究業績
主要著書
主要原著論文
1. Kiyota Hashimoto, Tasanawan Soonklang, Sachio Hirokawa, Feature Words of Moves in Scientific Abstracts, Proc. 5th IIAI-AAI,, pp.749-754, 2016.08.
2. Brendan Flanagan, Sachio Hirokawa, Carita Paradis, Kiyota Hashimoto, Analysis of the diachronic relations of adjective antonym pairs in wine tasting notes, Proc. AROB2016, pp.749-754, 2016.01.
3. Brendan Flanagan, Kiyota Hashimoto, Sachio Hirokawa, Analysis of Antonymic Adjective Meaning Dimensions in Winespeak, Proc. SNLP2016, CD, 2015.12.
4. Yasuhiro Yamada, Daisuke Ikeda, Sachio Hirokawa, Unique Links as Weak Ties, Proc. AAI2015, 2015.07.
5. Brendan Flanagan, CHENGJIU YIN, Yohei Inokuchi, Sachio Hirokawa, Supporting Interpersonal Communication Using Mind-Map, Journal of Information and Systems in Education, 2013.12, Engaging in initial communication interactions with an unknown partner
for the first time can be a daunting task. Participants often use
several different strategies, of which an active strategy involves
getting to know their communication partners through asking other
people. However this situation might not always be possible. To
support situation when this strategies isn’t available, we propose a
method to extract keywords from a user’s comments on SNS sites and
use these to represent their interests and activities. Keywords are
visualized as a mind map for use as a communication tool when engaging
in interpersonal communications. The use of this method is
de monstrated and evaluated in three examples that were created from
real world data collected from Twitter.
.
6. Eisuke Ito, Brendan Flanagan, CHENGJIU YIN, Tetsuya Nakatoh, Sachio Hirokawa, A study of search engine exercise using VM on a private cloud, Proc. ICCE2013, 2013.11.
7. Brendan Flanagan, CHENGJIU YIN, Kiyota Hashimoto, Sachio Hirokawa, Yoshiyuki Tabata, An Automated Method to Generate e-Learning Quizzes from Online Language Learner Writing, International Journal of Distance Education Technologies, 2013.11, In this paper, the entries of Lang-8, which is a SNS site for learning
and practicing foreign languages, were analyzed and found to contain
similar rates of errors for most error categories reported in previous
research. These similarly rated errors were then processed using an
algorithm to determine corrections suggested by a native
speaker. Subject matter experts then evaluated the processed sentences
to determine the quality in relation to use in tests or exams for
language learners. The method describes the automatic generation of
multiple choice and fill-in-the-blanks quizzes using the writings of
language learners on public web based learning sites, in order to
support learner reflection on corrections and practicing past errors
to overcome problems.
.
8. Makoto Okada, Sachio Hirokawa, Kiyota Hashimoto, An Investigation of a Method to Extract Japanese Start-Farming
Problems using Comparison News Articles and Questionnaire Surveys, Proc. AIT2013, 2013.11.
9. Brendan Flanagan, Jane Yin-Kim YAU, Sachio Hirokawa, Yoshiyuki Tabata, An SNS based Literature Review System for conducting a Research Survey, Proc. ICCE2013, 2013.11, It is necessary to perform a literature review before starting a new
research project . However, many students do not know the procedur es
of performing a literature review . In this paper, based on the p
rofessional experiences and opinions of expert researchers , we
describe a n SNS - based literature review system to help students
conduct research survey s . This system includes two search engi nes,
one is a n article search engine , which can help students conduct
research survey s , and the other is a logging search engine , which
allows students to learn from each other via their logs and share
experience with other students . User models of the sys tem as well
as its functions are presented..
10. Brendan Flanagan, CHENGJIU YIN, Kiyota Hashimoto, Sachio Hirokawa, Clustering English Writing Errors based on Error Category Prediction, Proc. ISEEE2013, 65-70, 2013.11, It is important for language learners to determine and reflect on
their writing errors in order to overcome weaknesses. Each language
learner has their own unique writing error characteristics and
therefore has different learning needs. The present paper applies SVM
machine learning to the writings of English language learners on the
language learning SNS website Lang-8 that have been manually
classified into 15 error categories to determine the errors in a
sentence. Feature selection was used to improve the performance of
the resulting classifier model.
.
11. Koki Miyata, Takahiko Suzuki, Sachio Hirokawa, Difficulty and Ambiguity of Verbs -Analysis based on Synsets in Japanese WordNet-, Proc. AIT2013, 2013.11.
12. Brendan Flanagan, Jun Zeng, Brendan Flanagan, Sachio Hirokawa, Extraction of Informative Blocks from Deep Web Page Using Similar Layout Feature, International Journal of Advancements in Computing Technology, 5, 9, 316-324, 2013.11, Due to the explosive growth and popularity of the deep web,
information extraction from deep web page has gained more and more
attention. However, the HTML structure of web page has become more
complicated, making it difficult to recognize target content by only
analyzing the HTML source code. In this paper, we propose a method to
extract the informative blocks from a deep web using the layout
feature. We consider the visual rectangular region of an HTML element
as a visual block in web page. We transform the elements' layout of a
visual block into a layout tree. By calculating the similarity of
layout trees, we cluster the visual blocks that have similar layout
feature. Finally, the cluster which has the largest area is extracted
as the informative block cluster. The experiment results show that
this method is optimal when the threshold of layout tree similarity is
0.4..
13. Eisuke Ito, Sachio Hirokawa, Keyword Relation Analysis Using Concept Graph Toward Automatic Categorization of Online Novels, Proc. AIT2013, 2013.11.
14. CHENGJIU YIN, Han-Yu Sung, Gwo-Jen Hwang, Sachio Hirokawa, Hui-Chun Chu, Brendan Flanagan, Yoshiyuki Tabata, Learning by Searching: A Learning Environment that Provides Searching and Analysis Facilities for Supporting Trend Analysis Activities, Journal of Educational Technology & Society, 283-300, 2013.11, With the popularity of the Internet, online searching is
becoming an important part of learning. In this paper, based on the
"Learning by Searching theory, a learning environment is developed,
which includes a search engine to assist students in recognizing the
progression of trends and keyword transitions for specific domains. To
efficiently support research trend surveys, an automatic data
accumulation and classification approach is proposed to construct the
database excerpts instead of manual keyword registration or any other
heuristic preprocesses. With an associative search module, the search
engine dynamically searches for relevant words that are frequently
used in the targeted academic field, and provides learners with
effective visualizations to understand the trend transitions. An
experiment has been conducted on a college information management
course to show the effectiveness of the proposed approach. The
experiment results show that the students who learned with the new
approach had significantly better learning performance in terms of
recognizing the trend transitions of the targeted issues than those
who learned with conventional search engines..
15. Brendan Flanagan, Takahiko Suzuki, Jun Zeng, CHENGJIU YIN, Toshihiko Sakai, Kiyota Hashimoto, Sachio Hirokawa, Peer Knowledge Assisted Search Using Community Search Logs, International Journal of Ditigal Information and Wireless Communications(IJDIWC) , 3, 2, 1-8, 2013.11.
16. Kazumasa Goda, Sachio Hirokawa, Tsunenori Mine, Automated Evaluation of Student Comments on Their Learning Behavior, Proc. ICWL2013, 131-140, 2013.10, Learning comments are valuable source of interpreting student status
of understanding. The PCN method introduced in [Gouda2011] analyzes
the attitude of a student from a view point of time series. Each
sentence of a comment are manually classified as one of P,C,N or O
sentence. P(previous) indicates the learning activity before the
classtime, C(current) represents the understanding and achievement
during the classtime, and N(next) means the learning activity plan
until next class. The present paper applies SVM(Support Vecotor
Machine) to predict the category to which given sentence
belongs. Empirical evaluation using 4,086 sentences was conducted. By
selecting feature words of each category, the prediction performance
was satisfactory with F-measures 0.8203, 0.7352, 0.8416 and 0.8612 for
P,C,N and O respectively.
.
17. Kazumasa Goda, Sachio Hirokawa, Tsunenori Mine, Correlation of Grade Prediction Performance and Validity of Self-Evaluation Comments, Prof. ACM SIGITE2013, 35-42, 2013.10, To grasp a student's lesson attitude and learning situation and to
give a feed back for each student are educational foundations. Goda
et.al. 2011 proposed the PCN method to presume a learning situation
from a comment freely written by students. The PCN method categorizes
comments into three items of P(previous), C(current) and N(next).
Item P is learning activities for preparation of a lesson. Item C is
understanding of the lesson and learning attitudes to the lesson. Item
N is the learning plan and goal by the next lesson. They pointed out a
correlation between the student's final results and the validity of a
descriptive content of item C.
A problem left in Goda et. al.2011 is the badness of performance in prediction
for upper grade students. One of the reason is the
difficulty in assessmenting the validity by human. Another reason is
the diversity of quality of freely written comments. Some students
wrote their comments that have nothing to do with their understanding
or learning attitudes in item C.
The present paper applied multiple regression analysis to calculate
the PCN scores that determine the validity level with respect to each
viewpoint. The students who wrote comments with high PCN score are
considered as those who describe their learning attitude appropriately.
The present paper applied a machine learning method SVM (support
vector machine) to student comments for predicting the students' final
result in five grades of S,A,B,C and D. It is confirmed that the
prediction performance of student grade is high for the students with
high PCN scores.
.
18. CHENGJIU YIN, Brendan Flanagan, Sachio Hirokawa, Yoshiyuki Tabata, Build A Search Engine To Support Doing Research Surveys On SNS, Proc. LTLE2013, 2013.09, It is very important for any academic researches to do research
surveys. In this paper, we proposed an SNS based search engine to
support doing research surveys, called SNSearch. Our SNSearch system
not only supports analysis of research trends, but also offers
learners opportunities to reflect on their search behaviors. By
browsing the experts’ survey history, students can learn search
skills..
19. Tetsuya Nakatoh, Sachio Hirokawa, Evaluation of Tourism Resources Extraction based on Japanese Dependency Analysis, Proc. ESKM 2013, 100-1003, 2013.09.
20. Eisuke Ito, T. Urakawa, Brendan Flanagan, Sachio Hirokawa, Keywords Frequency Trend Analysis of Online Novels, Proc. ESKM 2013, 68-73, 2013.09.
21. Tetsuya Nakatoh, Hirofumi Amano, Sachio Hirokawa, Prediction of Growth Rate of Operating Income using Securities Reports, Proc. ESKM 2013, 2013.09, Blog articles by tourists contain interesting and
personal experiences of where and how they have gone, what they
have done and what they thought. Such individual experiences
are helpful in many cases compared to the general and official
information about the tourist resort by tourist agents. However,
it is not easy to choose related articles and to extract still
more nearly required information from these unsorted blog
articles. This paper proposes a technique of feature extraction
by dependency analysis of verbs and objects in those sentences
that describe tourist’s behavior. This paper applied the method
to 70,352 blog articles on Kyushu area and reports some analysis
on "where and what did they eat" as case studies.
.
22. Jun Zeng, Brendan Flanagan, Qingyu Xiong, Junhao Wen, Sachio Hirokawa, Proposal of Seam Degree and Content Similarity for Web Page Segmentation, Proc. ESKM 2013, 2013.09, Page segmentation has received great attention in recent
years. However, most research has been based on some pre-defined
heuristics or visual cues which may be not suitable for large-scale
page segmentation. In this paper, we proposed two parameters: seam
degree and content similarity, to indicate the coherent degree of a
page block. Instead of analyzing pre-defined heuristics or visual
cues, our method utilizes the visual and content features to determine
whether a page block should be divided into smaller blocks. We also
proposed a principled page segmentation method using these two
parameters. An experiment was conducted to determine the relationship
between the two parameters and the number of segment results. The
empirical results also show that our segmentation method can
effectively segment a page into different semantic parts.
.
23. Yasuhiro Yamada, Terutaka Tansho, Sachio Hirokawa, Proposal of a Matching System for Companies and Researchers Using Patents and Scientific Papers, Proc. ESKM 2013, 397-398, 2013.09.
24. Brendan Flanagan, Yohei Inokuchi, CHENGJIU YIN, Sachio Hirokawa, Using Automatically Generated Mind Maps to Promote Initial Communication, Proc. AECT International Conference on the Frontier in e-Learning Research 201, 332-333, 2013.08, In communication, it is important to get to know the common
interests of each other. This paper proposes a method to extract
keywords that represent the interests of individuals from their
comments on SNS sites. Those keywords are visualized as a mind map,
which can be used as a communication tool. The effectiveness of the
maps is evaluated in three examples.
.
25. Makoto Okada, Sachio Hirokawa, Kiyota Hashimoto, A Investigation of Oppinions and Demands of New Farming Applicants of Japan Using Concept Graph in The Questionnaire Survey, Pcoc. IEIS2013, 104-104, 2013.06.
26. Makoto Okada, Sachio Hirokawa, Kiyota Hashimoto, Analysis of Opinions from Questionnaire Surveys of Farming Candidates using Cross, Proc. KES-IIMS2013, 184-194, 2013.06.
27. Xiao Lin, Eisuke Ito, Sachio Hirokawa, Chinese Tag analysis for foreign movie contents, Proc. of IEEE/ACIS ICIS2014, 163-166, 2013.06.
28. Bren Flanagan, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa, Intelligent Computer Classification of English Writing Errors, Proc. KES-IIMS2013, 174-183, 2013.06, An important issue in education systems is the ability to determine
the characteristics of learners and then provide intelligent and
informed guidance in response. The authors of this paper have a
long-term research goal to provide language learners with the ability
to determine and improving their weaknesses. However, to achieve this
goal a sizable amount of manually classified data is required. The
task is both time consuming and labor intensive. In this paper a
system was built to help intelligently classify the errors in an
English learner’s writings into categories (Kroll 1990, Weltig
2004). Using a randomly selected manually classified sample as
training data, it was determined that there is a positive correlation
between the number of samples for each error category and the
effectiveness of the model created by applying SVM machine learning to
the writings of language learners on the Lang-8 website. It is
intended that the classification results will be used to accelerate
the manually process classification and increase the amount of
training data available for use..
29. CHENGJIU YIN, Sachio Hirokawa, Jane Yin-Kim Yau, Tetsuya Nakatoh, Kiyota Hashimoto, Yoshiyuki Tabata, Analyzing Research Trends with Cross Tabulation Search Engine, International Journal of Distance Education Technologies, 11, 1, 31-44, 2013.01.
30. Jun Zeng, Toshihiko Sakai, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa, Automatic Generation of Tourism Quiz using Blogs, the journal Artificial Life and Robotics, 17, 3, 412-416, 2013.01.
31. Brendan Flanagan, Takahiko Suzuki, Jun Zeng, CHENGJIU YIN, Toshihiko Sakai, Kiyota Hashimoto, Sachio Hirokawa, Focused Search using Community Search Logs, Proc. ICDIPC2013, 559-565, 2013.01, Search engines have become an increasingly important educational
tool. Finding information has become an easy exercise by just typing a
few keywords into a search engine text-box. However, some people may
not use a search engine effectively. Students may not know how to
choose proper keywords. They may have difficulty in selecting the
relevant information from millions of search results. In this paper,
we propose a search engine system which shares search queries and
browsing history among students. We call the search queries and
browsing history “community search logs”. This system analyzes the
community search logs, and shares students’ knowledge and experience
to each other. Our purpose is with help students, especially those who
are not good at searching, to improve their searching efficiency..
32. Jun Zeng, Brendan Flanagan, Sachio Hirokawa, Layout-Tree-based Approach for Identifying Visually Similar Blocks in a Web Page, Proc. IWEA2013, 65-70, 2013.01, Search engines have become an increasingly important educational
tool. Finding information has become an easy exercise by just typing a
few keywords into a search engine text-box. However, some people may
not use a search engine effectively. Students may not know how to
choose proper keywords. They may have difficulty in selecting the
relevant information from millions of search results. In this paper,
we propose a search engine system which shares search queries and
browsing history among students. We call the search queries and
browsing history “community search logs”. This system analyzes the
community search logs, and shares students’ knowledge and experience
to each other. Our purpose is with help students, especially those who
are not good at searching, to improve their searching efficiency..
33. Brendan Flanagan, Takahiko Suzuki, Jun Zeng, CHENGJIU YIN, Toshihiko Sakai, Sachio Hirokawa, Kiyota Hashimoto, Peer Knowledge Assisted Search Using Community Search Logs, International Journal of Ditigal Information and Wireless Communications, 3, 2, 1-8, 2013.01.
34. Kazunori Shimizu, Eisuke Ito, Sachio Hirokawa, Predicting Future Ranking of Online Novels based on Collective Intelligence, Proc. ICDIPC2013, 263-274, 2013.01, A large number of novels are being uploaded as online novels. The
present paper proposes a ranking algorithm based on the users'
favorite lists (bookmarks). Empirical evaluation has been conducted
with respect to each genre of novels. In several genres, it is
confirmed that the top ranked novels in July are predicted from the
bookmarks of May.
.
35. Sachio Hirokawa, Makoto Okada, Kiyota Hashimoto, Extraction of Hints and Advice from Hotel Reviews for Improving Small Hotel Management, Proc. CEC(IEEE 14th International Conference on Commerce and Enterprise Computing), 166-170, 2012.12.
36. Toshihiko Sakai, Sachio Hirokawa, Feature Words that Classify Problem Sentence in Scientific Article, Proc. iiWAS2012, 360-367, 2012.12, Literature review requires understanding the contents from
several view points, such as the problem and the method
that the articles describe. Search from these viewpoints will
improve the e?ciency of survey, if particular segments of
articles were extracted, indexed and can be used as auxiliary
query. This paper focuses on sentences that describe the
problem in an abstract and the feature sets that classify such
problem sentences. Classi?cation performance are evaluated
by 10-fold cross-validation for six candidate sets of feature
words. It turned out that the set of all words gains the best
performance if 90% of the data are used as training data.
However, the set of a small number of words with positive
scores outperforms other feature sets, if the training data is
only 10%. In such a realistic situation, the feature words are
effective in improving classification performance..
37. Tetsuya Nakatoh, Sachio Hirokawa, Extraction of Tourist Behavior Contexts from Blog by Verbs and Their Objects, Proc. ESKM 2012, 112-116, 2012.09, Blog articles by tourists contain interesting and
personal experiences of where and how they have gone, what they
have done and what they thought. Such individual experiences
are helpful in many cases compared to the general and official
information about the tourist resort by tourist agents. However,
it is not easy to choose related articles and to extract still
more nearly required information from these unsorted blog
articles. This paper proposes a technique of feature extraction
by dependency analysis of verbs and objects in those sentences
that describe tourist’s behavior. This paper applied the method
to 70,352 blog articles on Kyushu area and reports some analysis
on "where and what did they eat" as case studies.
.
38. Chengjiu Yin, Sachio Hirokawa, Brendan Flanagan, Takahiko Suzuki, Yoshiyuki Tabata, Mistake discovery and generation of exercises automaticity in contex, Proc. LTLE2012, 163-167, 2012.09, It is useful for learners to write in a foreign language and ask
another person to correct it for them so they can know their
mistakes. However, a problem for learners' is how to reflect on the
correction of their problems and then master the mistake. In this
paper, by analyzing the entries of Lang-8, which is a SNS site for
learning and practicing foreign languages, we found the correspondence
between original entries and the corrections. Based on this finding, a
system was developed which can generate fill-in-the-blanks quizzes
according to different situations, in order to support learner's
reflection on correction and practicing so the mistake is no longer a
problem.
.
39. Eisuke Ito, Kazunori Shimizu, Sachio Hirokawa, Introducing faceted views in diversity of online novels, Proc. International Conference on Digital Information Management (ICDIM2012), 2012.08.
40. T. Sakai, M. Matsushita, B. Flanagan, J. Zeng, S. Hirokawa, Analysis of Influence of Investor Relation Documents to Stock Price, Proc. FSKD2012, 2012.05.
41. Toshihiko Sakai,Jun Zeng,Brendan Flanagan,Tetsuya Nakatoh,Sachio Hirokawa, Discriminant Words for Problems in Scientific Articles, Proceedings of International Symposium on Innovative E-Services and
Information Systems (IEIS 2012)
, 2012.05.
42. J. Zeng,T. Sakai, B. Flanagan, S. Hirokawa, Extraction of Relevant Components Using Shallow Structure of HTML Documents, Proc. FSKD2012, 2012.05.
43. Sachio Hirokawa, Feature Extraction using Restricted Bootstrapping, Proceedings of International Symposium on Innovative E-Services and
Information Systems (IEIS 2012)
, 2012.05.
44. Brendan Flanagan, Chengjiu Yin, Sachio Hirokawa, Han-Yu Sung and Gwo-Jen Hwang, Analysing Research Trends of Mobile Learning with the Milky Way, Proc. 7th International Conference on Wireless, Mobile and Ubiquitous Technology in Education (WMUTE2012), 249-253, 2012.03.
45. Tetsuya Nakatoh, Chengjiu Yin and Sachio Hirokawa, Characteristic Grammatical Context of Tourism Information, ICIC Express Letters, 6, 2, 563-568, 2012.03.
46. Jun Zeng, Sachio Hirokawa, Component Search Engine based on HTML Path and Word Weight, ICIC Express Letters, 6, 3, 753-758, 2012.03.
47. Jun Zeng, Toshihiko Sakai, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa, Automatic Generation of Tourism Quiz using Blogs, 7th International Symposium on Artificial Life and Robotics(AROB2012), 97-100, 2012.01, There are large amount of Blog articles concerning to tourism.
There are many interests in searching and reading those articles.
This paper proposes a method to convert the articles as amusement
media where users can enjoy answering and learning well-known fact
or unexpected linkage.
48. Xiaobin Wu, Zeng Jun, Chengjiu Yin, Sachio Hirokawa, Sharing Knowledge and Experience of Search with SNS, 7th International Symposium on Artificial Life and Robotics(AROB2012), 101-104, 2012.01, Search Engine is an essential tool when we search and learn something
we do not know. We can share the search result if the answer were simple.
However, sharing the awareness and the process of search is hard to share
or tell other people. This paper proposes a community portal that
combines SNS and search engine.
49. Kiyota Hashimoto, Kazuhiro Takeuchi, Makoto Okada, Sachio Hirokawa, Visual chance discovery method of potential keys for innovations in tourism, 7th International Symposium on Artificial Life and Robotics(AROB2012), 89-92, 2012.01.
50. Chengjiu Yin, Yoshiyuki Tabata, Sachio Hirokawa, A Milky Way Research Trend system for Survey of Scientific Literature, Proc. ELSM 2011, First International Workshop on Enhancing Learning with Social Media, 2011.12.
51. Chengjiu YIN, Yoshiyuki TABATA, Kiyota HASHIMOTO, Tetsuya NAKATOH, Sachio HIROKAWA, A Support System for Research Trend Survey of Scientific Literature, Proc. ICCE2011, 116-118, 2011.12.
52. Sachio Hirokawa, Jun Zeng, Comparison of Tourism Data using Double Ranking, Proc. SSNE, International Workshop on Innovative Tourism Informatics, 67-72, 2011.12, The prompt discovery and mining of user’s reputation, opinion and complaint are becoming a hot topic in the field of search engine for Blog and Twitter. This paper proposes "Double Rank" method to analyze the search result using two viewpoints, where the polarity degree of keywords in the search results are evaluated from the viewpoints. Most previous researches concern mainly in positive and negative evaluation as for the polarity degree. Two viewpoints are specified as the search condition in the present paper. The blog articles related to sightseeing are analyzed as case studies, where the characteristics and the sightseeing situation are compared for two prefectures..
53. Tetsuya Nakatoh, Chengjiu Yin, Sachio Hirokawa, Extraction and Disambiguation of Name of Place from Tourism Blogs, Proc. SSNE, International Workshop on Innovative Tourism Informatics, 73-78, 2011.12, By development of the Internet in recent years,
tourism portal sites and blog articles about tourism increased
on WWW. Acquisition of various tourism information became
easy. When gathering and classifying the information automatically
from blog articles, it is not easy to decide automatically
place names used as the key. In this paper, we propose a method
of extracting place names from blog articles automatically.
Moreover, we also tried disambiguation of a place name..
54. C. Yin, Y.Tabata, X. Wu, T. Nakatoh, S. Hirokawa, Building a Search Engine for Scientific Projects Survey, Proc. of IEEE Internetional Conference on Cyber, Physical and Social Computing
(CPSCom 2011) workshops on "Technology-Enhanced Social Learning"
, 558-563, 2011.10, This paper targets the students, who are just beginning to
engage in research. With the data-mining technologies, using the data
of KAKEN (Grant-in-Aid for Scientific Research of Japan), according to
students' learning styles and learners' knowledge levels, we propose
to create a "Learning by Searching" search engine to provide suitable
knowledge and help students to master research trends.
.
55. K. Baba, T. Tanaka, E. Ishita, M. Mori, E. Ito, S. Hirokawa, Evaluation of Link System between Repository and Researcher Database, Proc. ICADL 2011, LNCS 7008, 382--383, 2011.10.
56. Yoshiaki Okubo, Makoto Haraguchi, Sachio Hirokawa, Finding Top-N Chance Patterns with KeyGraph-Based Importance, Proc. KES2011, LNCS 6882, 457--468, 2011.09.
57. Sachio Hirokawa, Takahiro Baba, Tetsuya Nakatoh, Search and Analysis of Bankruptcy Cause by Classification Network, Proc. 1st International Conference on Model & Data Engineering MEDI2011,
LNCS 6918
, 327--331, 2011.09.
58. Chengjiu Yin, Tetsuya Nakatoh, Ito Eisuke, Sachio Hirokawa, Classification network of tourism information -- A smart phone-based
system for supporting "Petit Trips", Proc. iCAST2011, 171--174, 2011.08.
59. J. Zeng, S. Hirokawa, Component Search Engine using Tree-View Interface, Proc. iCAST2011, 327--331, 2011.08.
60. S. Hirokawa, C. Yin, K. Hashimoto, Multidisciplinary Multi-Faceted Search Engine of Literatures on Tourism, Proc. 2nd International Symposium on Applied Informatics (ISAI 2011), 2011.08.
61. S. Hirokawa, T. Baba, T. Nakatoh, Text Mining of Bankruptcy Information using Formal Concept Analysis, Proc. iCAST2011, 532--537, 2011.08.
62. T. Nakatoh, C. Yin, H. Matsuura, S. Hirokawa, Visualization of Tourism Information using WordNet, Proc. iCAST2011, 413--418, 2011.08.
63. Sachio Hirokawa, Chengjiu Yin, Tetsuya Nakatoh, Component-Based Search Engine for Blogs, Proc. FUZZ-IEEE, 2011.06.
64. Masao Mori, Toshie Tanaka, Sachio Hirokawa, A Progressive Data Warehouse of Institutional Research with Web API and Mashup Visualization, Proc. CSEDU (3rd International Conference on Computer Supported Education), 2011.05.
65. Kiyota Hashimoto, Kazuhiro Takeuchi, Chengjiu Yin, Sachio Hirokawa, Extraction of Subjective Context-Sensitive Evaluation of Japanese Onomatopoeic Expressions and its Applications, ICIC Express Letters
, Vol.5, No.10, pp.3755-3760, 2011, 2011.05.
66. Sachio Hirokawa, Chengjiu Yin, Kiyota Hashimoto, Kazuhiro Takeuchi, Search and Analysis of Gourmet Blogs with a Particular Reference to Onomatopoeia, ICIC Express Letters
, Vol.5, No.8(B), pp.2971-2978, 2011, 2011.05.
67. Yasuhiro Yamada, Sachio Hirokawa, Coloring for Pattern Detection, Proc. 3rd Mahasarakham International Workshop on AI, 27-36, 27-36, 2009.12.
68. Yurie Iino, Sachio Hirokawa, Time Series Analysis of R&D Team Using Patent Information, Proc. 13th International Conference KES 2009, Part II, Springer LNCS 5712, 464-471, 2009.09.
69. Yurie Iino, Sachio Hirokawa, Evaluation of Research and Development Team Sructure from Patent Documents, 7th International Conference on Patents and Innovation, CD-ROM, 2009.01.
70. Yurie Iino, Yasuhiro Yamada, Sachio Hirokawa, Structural Analysis of R\&D Division from Patent Documents, IEEE International Conference on e-Business and Engineering, 423-428, 2008.10.
71. Yoshihiro Shimoji, Sachi Hirokawa, Dynamic Thesaurus Construction from English-Japanese Dictionary
, Proc. International Workshop on Ontology Alignment and Visualization, 2008.03.
72. Takahiro Seki, Taiki Wada, Yasuhiro Yamada, Nozomi Ytow, Sachio Hirokawa, Multiple viewed search engine for an e-journal --- a case study on Zoological Science, Proc. The 12th International Conference on Human-Computer Interaction Part IV,
LNCS 4553, pp.989-998, 2007
, 2007.07, The multiple viewed search engine presented here retrieves documents of an indicated search area and displays a matrix of the distribution of the clustering from two aspects of the retrieval result. The search engine provides a visual and semantic bird's-eye view of the entire retrieval result. In addition, the characteristic words of each cluster are displayed in the matrix, and supports narrowing of the search. Furthermore, it is possible to immediately change the analysis criteria or the number of clusters and to use a zooming function. Thus, various retrieval conditions for a query can be attempted immediately and continuously. As a case study, this paper performs several analyses on the electronic journal Zoological Science using a multiple viewed search engine..
73. T. Miyahara, Y. Suzuki, T. Shoudai, T. Uchida, S. Hirokawa, K. Takahashi, H. Ueda, Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured data, Proc. PAKDD, 2637, 430-436, pp.430--436, 2003.04.
74. Sachio Hirokawa, Daisuke Ikeda, Webグラフの構造解析, 人工知能学会誌, vol.16(4), p.525-529, 2001.01.
主要総説, 論評, 解説, 書評, 報告書等
主要学会発表等
作品・ソフトウェア・データベース等
1. 杉本典子,金丸玲子,石野明,竹田正幸,廣川佐千男, 大学評価情報システム, 2003.11
全学教員の研究、教育、社会連携活動等に関する情報を蓄積し、それを大学評価活動に活用するためのデータベースシステム.
特許出願・取得
特許出願件数  4件
特許登録件数  4件
学会活動
所属学会名
人工知能学会
情報処理学会
電子情報通信学会
学協会役員等への就任
2004.05, 電子情報通信学会, 専門委員.
学会大会・会議・シンポジウム等における役割
2003.11, 平成15年度 情報処理研究集会, 座長(Chairmanship).
2015.07.12~2015.07.16, 4th International Congress on Advanced Applied Informatics, General Chair.
2014.08.31~2013.09.04, 3rd International Conference on Advanced Applied Informatics, General Chair.
2013.08.31~2013.09.04, 2nd International Conference on Advanced Applied Informatics, General Chair.
2012.09.20~2012.09.22, 1st International Conference on Advanced Applied Informatics, General Chair.
学術論文等の審査
年度 外国語雑誌査読論文数 日本語雑誌査読論文数 国際会議録査読論文数 国内会議録査読論文数 合計
2005年度
2004年度
その他の研究活動
海外渡航状況, 海外での教育研究歴
University of Wollongong, Australia, 1993.02~1993.03.
University of Wales Swansea, UnitedKingdom, 1994.10~1995.08.
外国人研究者等の受入れ状況
2009.12~2010.12, 1ヶ月以上, 忠南大学, Korea, 外国政府・外国研究機関・国際機関.
2009.03~2010.02, 1ヶ月以上, 忠南大学, Korea, 外国政府・外国研究機関・国際機関.
2004.01, 2週間未満, CSIRO Information & Communication Technologies Centre, Australia, 文部科学省.
受賞
I-Scoverチャレンジ2013特別賞, 電子情報通信学会, 2013.03.
科学技術振興機構データサイエンス・アドベンチャー杯言語部門最優秀賞, 科学技術振興機構, 2015.03.
研究・産学官連携活動表彰, 九州大学, 2007.05.
第1回高柳研究奨励賞, 財団法人浜松電子工学奨励会, 1985.10.
研究資金
科学研究費補助金の採択状況(文部科学省、日本学術振興会)
2015年度~2017年度, 基盤研究(B), 代表, テキストマイニングによる医療プロセスのキーファクター抽出.
2012年度~2015年度, 基盤研究(C), 代表, 手掛語と内容語の双対ブートストラップ・マイニング.
2004年度~2005年度, 特定領域研究, 代表, リンク情報とWebデータの半構造性を融合した高品質コンテンツ・マイニング.
2004年度~2005年度, 萌芽研究, 代表, Web空間における自然な分布からの乖離現象解明.
競争的資金(受託研究を含む)の採択状況
2006年度~2008年度, 科学技術振興機構「独創的シーズ展開事業大学発ベンチャー創出推進」, 代表, データマップ法と概念グラフによる次世代検索エンジンの研究開発.

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