Language：English   Publishing type：Research paper (international conference proceedings)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

2009年9月に、先行研究の手法を応用し、日本の機関リポジトリから収集した全文PDFファイルのURLを用いて、より大規模に深層ウェブの比率を計測した。その結果、Google、Yahoo!、Bingの3つの検索エンジンから検索できるウェブは72.0%に過ぎず、28.0%が深層ウェブであることが分かった。単独の検索エンジンでは、最高でもGoogleの53.2%であった。また、PDFファイルとURLの特徴の調査から、URLの動的性や長さが深層ウェブとなる要因であることが分かった。

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： https://doi.org/10.1007/978-981-99-8088-8_9

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： https://doi.org/10.1007/978-981-99-8088-8_14

Language：English   Publishing type：Research paper (international conference proceedings)  

This study aims to examine the presence and openness of digital archives among Japanese national universities based on nine survey items, including the existence of digital archives, openness levels, organization and presentation of information, and availability of English information. The authors annotated 86 library websites and found that digital archives at Japanese university libraries are relatively extensive in quantity, yet they tend to be accessible only in Japanese. More than half (57%) of the national university libraries make their digital archives available online, with the combined features of open-compliant licenses and restricted policies. From the analysis of the collected data, it is evident that there are possibilities to enhance more inclusive accessibility for diverse user groups while widening global engagement to support the Japanese university internationalization agenda by improving the online presentation and organization and the extent of the openness qualities of the digital archives. Making collections available online, which is currently the case, does not always automatically make them open, but unlocks the first step of the process to pursue further opportunities to exploit the potential of digitization projects.

DOI： https://doi.org/10.1007/978-981-99-8088-8_11

Language：English   Publishing type：Research paper (scientific journal)  

DOI： https://doi.org/10.1007/978-3-031-21756-2_40

Language：English   Publishing type：Research paper (scientific journal)  

This paper discusses the issue of opening access to digitized cultural heritage materials by examining the current state of their digital collections at the Indonesian higher education (HE) institutions in terms of their accessibility to the users. The accessibility is based on the online presence of the university libraries and the ability of the websites to provide sufficient information about the cultural heritage collections from the perspectives of the users. Eight Indonesian HE institutions with cultural heritage collections were identified. However, they have not been able to provide sufficient or explicit information on the cultural heritage collections online, including information on what collections are available, the basic descriptions of the items, and what users can do with the material. Therefore, raising awareness among Indonesian HE institutions, particularly the libraries, on the importance of opening access to cultural heritage collections is required.

DOI： https://doi.org/10.1007/978-3-031-21756-2_19

Language：English   Publishing type：Research paper (scientific journal)  

DOI： https://doi.org/10.1007/978-3-031-21756-2_12

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

【目的】情報メディアは，従来所有して利用することが一般的であった。しかし近年，経済活動における多様なサービスの展開，デジタル環境が進む中，アクセスをベースとする利用行動が広まってきている。本研究では，小説，教養書や専門書，漫画，音楽という4種類の情報メディアに関して，先行研究における包括的所有概念の機能構成が断片化するという考え方に基づき，各情報メディアの購入，借出，サブスクリプションといった利用行動を「所有」「準所有」「アクセス1」「アクセス2」「アクセス3」の5類型に整理した上で，現在どの利用が中心になされているのかを明らかにし，利用傾向によって回答者を類型化し，各グループを特徴づけることを目的とする。【方法】日本国内の1,030名（男女，年齢均等割付）を対象にオンラインパネル調査を実施した。設問は情報メディアの利用に関する30項目，情報メディアの志向に関する5項目，情報メディアの利用頻度に関する3項目，機器の所持と利用に関する2項目，性格特性に関する10項目である。情報メディアの利用に関する30項目の回答結果に基づいた階層的クラスタリングによって得られた樹形図に基づき，7クラスタを同定した。【結果】情報メディアの利用に関する質問30項目のうち27項目で，「全くしない／知らない／わからない」という回答が50%以上を占めていた。一方，YouTubeなどの無料動画サイトでの音楽鑑賞を「非常によくする／よくする」と回答した者は41.9%だった。各メディアの利用状況に基づき，情報メディアの利用の少ない5クラスタに対して，それぞれ「YouTubeのみ利用」「非利用」「図書館利用」「音楽利用（定額）」「所有」と名付けた。情報メディアの利用の多い2クラスタに対して，「全メディア積極利用」「積極利用（アクセス3重視）」と名付けた。これらのクラスタに関して，情報メディアの利用頻度，性格傾向などの特徴を整理した。

DOI： https://doi.org/10.46895/lis.86.1

Language：Japanese   Publishing type：Research paper (scientific journal)  

DOI： https://doi.org/10.20722/jcul.2123

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： https://doi.org/10.1007/978-3-030-91669-5_32

Language：English   Publishing type：Research paper (international conference proceedings)  

Many emerging digital library applications rely on automated classifiers that are trained using manually assigned labels. Accurately labeling training data for text classification requires either highly trained coders or multiple annotations, either of which can be costly. Previous studies have shown that there is a quality-quantity trade-off for this labeling process, and the optimal balance between quality and quantity varies depending on the annotation task. In this paper, we present a method that learns to choose between higher-quality annotation that results from dual annotation and higher-quantity annotation that results from the use of a single annotator per item. We demonstrate the effectiveness of this approach through an experiment in which a binary classifier is constructed for assigning human value categories to sentences in newspaper editorials.

DOI： https://doi.org/10.1007/978-3-030-91669-5_19

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： https://doi.org/10.1007/978-3-030-71305-8_40

Language：English   Publishing type：Research paper (international conference proceedings)  

Other Link： https://www.ideals.illinois.edu/handle/2142/109668

Language：Japanese   Publishing type：Research paper (scientific journal)  

DOI： https://doi.org/10.20651/jslis.66.4_101

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： https://doi.org/10.1002/pra2.301

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： https://doi.org/10.1002/pra2.388

Language：English   Publishing type：Research paper (scientific journal)  

The purpose of this research is to identify topics in library and information science (LIS) using latent Dirichlet allocation (LDA) and to visualize the knowledge structure of the field as consisting of specific topics and its transition from 2000–2002 to 2015–2017. The full text of 1648 research articles from five peer-reviewed representative LIS journals in these two periods was analyzed by using LDA. A total of 30 topics in each period were labeled based on the frequency of terms and the contents of the articles. These topics were plotted on a two-dimensional map using LDAvis and categorized based on their location and characteristics in the plots. Although research areas in some forms were persistent with which discovered in previous studies, they were crucial to the transition of the knowledge structure in LIS and had the following three features: (1) The Internet became the premise of research in LIS in 2015–2017. (2) Theoretical approach or empirical work can be considered as a factor in the transition of the knowledge structure in some categories. (3) The topic diversity of the five core LIS journals decreased from the 2000–2002 to 2015–2017.

DOI： https://doi.org/10.1007/s11192-020-03657-5

Other Link： https://link.springer.com/article/10.1007/s11192-020-03657-5

Language：English   Publishing type：Research paper (international conference proceedings)  

Other Link： http://hdl.handle.net/2142/106554

Repository Public URL： http://hdl.handle.net/2324/4479590

Language：English   Publishing type：Research paper (other academic)  

Archives hold printed historical documents, many of which have deteriorated. It is difficult to extract text from such images without errors using optical character recognition (OCR). This problem reduces the accuracy of information retrieval. Therefore, it is necessary to improve the performance of OCR for images of deteriorated documents. One approach is to convert images of deteriorated documents to clear images, to make it easier for an OCR system to recognize text. To perform this conversion using a neural network, data is needed to train it. It is hard to prepare training data consisting of pairs of a deteriorated image and an image from which deterioration has been removed; however, it is easy to prepare training data consisting of pairs of a clear image and an image created by adding noise to it. In this study, PDFs of historical documents were collected and converted to text and JPEG images. Noise was added to the JPEG images to create a dataset in which the images had noise similar to that of the actual printed documents. U-Net, a type of neural network, was trained using this dataset. The performance of OCR for an image with noise in the test data was compared with the performance of OCR for an image generated from it by the trained U-Net. An improvement in the OCR recognition rate was confirmed.

DOI： 10.1007/978-3-030-34058-2_31

Repository Public URL： http://hdl.handle.net/2324/2927456

Language：English   Publishing type：Research paper (other academic)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

When conducting a search for research papers, the search should return comprehensive results related to the user’s query. In general, a user inputs a Boolean query that reflects the information need, and the search engine ranks the research papers based on the query. However, it is difficult to anticipate all possible terms that authors of relevant papers might have used. Moreover, general query-based ranking methods emphasize how to rank the relevant documents at the top of the results, but require some means of guaranteeing the comprehensiveness of the results. Therefore, two ranking methods that consider the comprehensiveness of relevant papers are proposed. The first uses a topic-based Boolean query search. This search converts every word in the abstract set and query into a topic via topic analysis by Latent Dirichlet Allocation (LDA) and conducts a search at the topic level. The topic assigned to synonyms of a search term is expected to be the same as that assigned to the search term. Each paper is ranked based on the number of times it is matched with each topic-based Boolean query search executed for various LDA parameter settings. The second is a hybrid method that emphasizes better results from our topic-based ranking result and a general query-based ranking result. This method is based on the observation that the paper sets retrieved by our method and by a general ranking method will be different. Through experiments using the NTCIR-1 and -2 datasets, the effectiveness of our topic-based and hybrid methods are demonstrated.

DOI： 10.1007/978-3-030-27618-8_5

Repository Public URL： http://hdl.handle.net/2324/2551020

Language：English   Publishing type：Research paper (international conference proceedings)  

Repository Public URL： http://hdl.handle.net/2324/2230669

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： https://doi.org/10.1002/pra2.2018.14505501143

Language：English   Publishing type：Research paper (international conference proceedings)  

Repository Public URL： http://hdl.handle.net/2324/2320606

Language：English   Publishing type：Research paper (other academic)  

Our goal is to propose an alternative retrieval system of academic documents based on researcher's behavior in practice. In this study, a questionnaire survey was conducted. Question items were developed from findings in the previous observational study for researcher's behavior. From the results of 46 respondents, the top three elements checked in the search results were title, abstract, and the full-text version. They also checked structure "Introduction" in the full-text rather than other structures when they found previous research in an unfamiliar field. These results indicate that researchers use different ways for selecting documents based on the type of documents they look for.

DOI： 10.1145/3197026.3203867

Repository Public URL： http://hdl.handle.net/2324/1912801

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (other academic)  

Academic database systems are vitally important tools for enabling researchers to find relevant, useful articles. Identifying how researchers select documents from search results is an extremely useful measure for improving the functions or interfaces of academic retrieval systems. This study aims to reveal which elements are checked, and in what order, when researchers select from among search results. It consists of two steps: an observational study of search sessions performed by researchers who volunteered, and a questionnaire to confirm whether extracted elements and patterns are used. This article reports findings from the observational study and introduces questions we developed based on the study. In the observational study we obtained data on nine participants who were asked to search for documents using information retrieval systems. The search sessions were recorded using a voice recorder and by capturing screen images. The participants were also asked to state which elements they checked in selecting documents, along with the reasons for their selections. Three patterns of order of checking were found. In pattern 1, seven researchers used titles and abstracts as the primary elements. In pattern 2, the others used titles and then accessed the full text before making a decision on their selection. In pattern 3, one participant searched for images and accessed the full text from the link in those pictures. We also found participants used novel elements for selecting. We subsequently developed items for a questionnaire reflecting the findings.
研究者が学術論文検索の検索結果のどこをみて全文を読もうとする論文を選択するかを観察実験から明らかにした。その結果、主に3つのパターンがあることが分かった。さらにそれらの結果を反映して、アンケート調査のための質問項目を構築した。

DOI： 10.1007/978-3-319-70232-2_20

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Repository Public URL： http://hdl.handle.net/2324/1932357

Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1109/IIAI-AAI.2016.210

Repository Public URL： http://hdl.handle.net/2324/1932361

Language：English   Publishing type：Research paper (scientific journal)  

In today's digital age, daily reading may be becoming digital reading. To understand this possible shift from reading print media to reading digital media, we investigated reading behavior for 11 media and reading preferences between print and digital in different circumstances. In August 2012, an online survey was used to inquire about the reading behavior and preference of 1,755 participants, ranging in age from 18 to 69 years. The participants contained equal numbers of men and women from five age brackets. Our main finding was that approximately 70% of total reading time was spent on digital media and that preferences favored print media. Cluster analysis of reading time by media was used to categorize respondents into eight clusters, and a second cluster analysis on stated preference (digital or print) yielded six clusters. The correspondence analysis between reading behavior clusters and preference clusters revealed that there is a mismatch between reading behavior and stated preference for either print or digital media.
日本における読みの行動(紙媒体で読んでいるか電子媒体で読んでいるか)と読みの選好を調査した。その結果、電子メディアで読んでいる割合が多いにもかかわらず、紙の媒体を好んでいるという結果が明らかになった。

DOI： 10.1002/asi.23712

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Repository Public URL： http://hdl.handle.net/2324/1660360

Language：English   Publishing type：Research paper (international conference proceedings)  

Repository Public URL： http://hdl.handle.net/2324/1660341

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： DOI:10.1109/IIAI-AAI.2015.268

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： DOI: 10.1109/IIAI-AAI.2015.211

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Other Link： http://hdl.handle.net/2142/73433

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： DOI 10.1145/2661829.2661966

Repository Public URL： http://hdl.handle.net/2324/1833092

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： DOI 10.1109/IIAI-AAI.2014.44

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： DOI 10.1109/JCDL.2014.6970226

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (other academic)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

Repository Public URL： http://hdl.handle.net/2324/27253

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

九州大学統合新領域学府に設置されたライブラリーサイエンス専攻の設置に関し、「ライブラリーサイエンス」の定義、専攻の教育理念、目的、カリキュラム等の概要を紹介し、さらに九州大学附属図書館との連携についても紹介した。連携の内容は、連続講演会の企画、インターンシップ、図書館職員の事業への協力である。最後に、ライブラリーサイエンス専攻の今後の課題と展望として、ライブラリーサイエンスの更なる認知、図書館職員との連携・交流をあげた。

Language：English   Publishing type：Research paper (scientific journal)  

Net neutrality is the focus of an important policy debate that is tied to technological innovation, economic development, and information access. We examine the role of human values in shaping the Net neutrality debate through a content analysis of testimonies from U.S. Senate and FCC hearings on Net neutrality. The analysis is based on a coding scheme that we developed based on a pilot study in which we used the Schwartz Value Inventory. We find that the policy debate surrounding Net neutrality revolves primarily around differences in the frequency of expression of the values of innovation and wealth, such that the proponents of Net neutrality more frequently invoke innovation, while the opponents of Net neutrality more frequently invoke wealth in their prepared testimonies. The paper provides a novel approach for examining the Net neutrality debate and sheds light on the connection between information policy and research on human values.

DOI： 10.1002/asi.22646

Language：English   Publishing type：Research paper (international conference proceedings)  

Repository Public URL： http://hdl.handle.net/2324/20277

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

文献（テキスト）を対象とした自動分類を中心とし、テキスト自動分類のアプローチの一つであるカテゴライゼーションを構成する要素を説明した。カテゴライゼーションとは、テキストを既存のカテゴリに自動的に分類することである。次に、図書館分類法を用いた自動分類の研究例、最近のテキスト自動分類の研究動向を紹介した。終りに、これからの自動分類の可能性について論じた。

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English  

Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (scientific journal)  

Disambiguation between multiple translation choices is very important in dictionary-based cross-language information retrieval. In prior work, disambiguation techniques have used term co-occurrence statistics from the collection being searched. Experimentally these techniques have worked well but are based upon heuristic assumptions. In this paper, a theoretically grounded alternative is proposed, one which uses sense disambiguation based upon context terms within the source text. Specifically this paper introduces the concept of translation probabilities incorporating a context term and extends the IBM Model 1 for estimating context-based translation probabilities from a sentence-aligned bilingual corpus. Experimental results in English to Italian bilingual searches show significant performance improvement of the context-based translation probabilities over the case without any disambiguation.

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

【目的】 図書館業務における研究成果の活用と研究の実践を促進するエビデンス・ベースト・ライブラリアンシップ(EBL) の適用可能性と問題点を検討する。
【方法】 日本の雑誌論文100論文に対してEBLで挙げられている根拠のレベル, 課題, 主題領域を調査し集計した。
【成果】 日本の図書館情報学論文はEBLの根拠のレベルでは, 事例研究と専門家の意見が大半を占め, EBLのレベルの高いとされるサミングアップは2件にとどまった。 また, EBLで示されている三つの課題にあてはまらず, 課題のない論文が30と多かった。 主題領域にも偏りがみられた。 しかし, EBLの枠組みを検討すると, EBLがエビデンス・ベースト・メディシン(EBM)の影響を強く受けているため, 図書館情報学文献に適用するには困難が多いことが確認された。

Language：Japanese   Publishing type：Research paper (scientific journal)  

【目的】目的は，絵と文章から構成される絵本を子どもが読む間の目の運動を調べることにある。
【方法】被験者は9歳から11歳の小学生14名である。彼らにアイカメラを装着した状態で絵本を読んでもらい，その後読書経験一般をたずねるとともに読んだ絵本に対する内容理解度テストと再認テストを行った。
【結果】既往研究に基づいて，1) 絵と文字が混在している場合絵よりも文字により長く停留する，2) 絵本は左から右に向かって読まれることが想定されているため，視線も左から右へと動く，3) 視線パターンは個人の属性やペジの構成に影響される，という三つの仮説のもとに測定結果を分析した。絵と文字への停留時間は個人差が大きいものの，全体としてみれば，ほぼ同じだった。左から右へという視線移動を共通して見いだすことはできなかった。絵と文字のブロック間の視線移動は，「循環型」と「往復型」に分けることができた。視線パターンに，個人の属性との関係は見いだせなかった。また，ページの構成が単純な場合には共通した傾向もあったが，どのページにもどの被験者の間にも共通するパターンはなかった。

Language：Japanese   Publishing type：Research paper (scientific journal)  

オープンアクセス環境が進展するにつれ、セルフアーカイビングの形式で自らの研究成果を公開する研究者が増加している。そのような成果は、従来のすべてのウェブを対象とする検索エンジンからもアクセスが可能ではあるが、検索結果中の他のものに埋没してしまうことが多い。そこで、本研究ではウェブコンテンツ中からの学術論文、あるいは論文に準ずるコンテンツを判定するシステム構築を目指し、SVM など、多くの手法を用いて自動判定実験を行った。自動判定の手がかりとなる属性群としてはファイル中に出現する語と経験的なルール群を用いた。実験結果からは、段階的な論文判定を行うことで、学術情報専門の検索システム構築が実現可能であることが示唆された。

Language：Japanese   Publishing type：Research paper (scientific journal)  

テキスト自動分類手法は,1990年代後半からさかんに研究され始め,現在では様々な分野で適用され始めている。テキスト自動分類は,分類済みのテキスト集合を利用して分類ルールを作成し,そのルールと照らし合わせることで分類対象テキストをカテゴリに分類するという手順で行われる。テキスト集合から各カテゴリの特徴を抽出し,分類ルールを作成する方法が,分類性能に直接かかわる。これには,情報検索分野や機械学習分野において提案された手法などが適用されている。世の中に流通する情報が増えるなかで,情報を効率的に探し出すためには,分類は必要不可欠な要素である。これからも様々な分野での適用が求められている。

Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

テキストの分類は, 既存のカテゴリにテキストを割り当てることであり, 様々な手続きを必要とする。本論文では, テキストの自動分類研究を再検討し将来の方向性について述べた。自動分類を構成する要素は, テキスト構造, データ量, 特徴素単位の定義, 特徴素集合の決定, カテゴリ表現, テキスト表現, 類似度計算, 分類先決定方法, 評価である。各要素や要素間の関係について, 既往研究から明らかにした。例えば, テキスト構造と特徴素集合の決定は自動分類全体に大きな影響を与えること, カテゴリ表現と類似度計算は相互に深く関わっていること, 特徴素単位の定義は外的要因の影響を受けるが, その定義は自動分類全体に大きな影響を与えることなどが明らかになった。将来の方向性として, Webページを対象にした自動分類を想定した。テキスト構造と特徴素集合の決定には新たな問題が生じ, テキスト構造は以前に比べてより重要な要素となることを予想した。

Language：English   Publishing type：Research paper (scientific journal)  

This paper proposes the evaluation methods for measuring retrieval effectiveness of Web search engine systems, attempting to make them suitable for real Web environment. With this objective, we constructed 100-gigabyte and 10-gigabyte document sets that were mainly gathered from the '.jp' domain, and conducted an evaluation workshop at the third NTCIR Workshop from 2001 to 2002, where we assessed the retrieval effectiveness of a certain number of Web search engine systems using the common data set. Conventional evaluation workshops assessed the relevance of the retrieved documents, which were submitted by the workshop participants, by considering the contents of individual pages. On the other hand, we assessed the relevance of the retrieved pages by considering the relationship between the pages referenced by hyperlinks.

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (bulletin of university, research institution)  

Language：English  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

WWW OPAC has become one of standard services at university libraries in Japan. A large number of studies have been carried out for the evaluation of OPACs. What seem to be lacking, however, are those from the actual users’ point of view. In this research, we examine major 15 WWW OPAC systems from such search terms as supposed likely to be used by novice users. Three cases are analyzed, each searching a specific book or author from terms extracted from it and their variants. The first case is to search a Japanese book translated from English from 9 terms (ex. full Japanese title, one keyword from title, ‘kanji’ of Japanese translator, English spell of author, and so on). The second case is to search a book with long title from 5 terms (full title including subtitle, main title only, and the variants). The third case is to search all books by an author, whose ‘yomi’ is the same with more than 9 persons.
The major results are as follows:
(1) Only three systems are successful in searching from all the terms in the first case.
(2) Some systems are very ineffective, can be searched only from few terms.
(3) The same outcomes cannot be got even from the same search terms.
These problems seem to occur under such situations as:
(1) A standard architecture and indexing system of OPAC database have not yet been established.
(2) Standard OPAC searching procedure has not been developed.
(3) Current OPAC is a mixture of traditional cataloguing rules and online retrieval system.
It is necessary to develop an original architecture and standard searching procedure for OPAC based on a new user model.

Language：Japanese   Publishing type：Research paper (scientific journal)  

In information retrieval, texts are usually retrieved by them with queries. In this study, an approach was suggested that texts are automatically classified into categories and retrieved by matching them with queries classified in the same way. For an efficient information retrieval using automatic classification, extracting methods of words from texts and matching methods are essential. Some extracting methods from Japanese texts have been suggested in natural languages processing. However, it is difficult to extract significant words from Japanese texts because Japanese texts are written without blank space separating words. As for matching methods, many weighting methods have been suggested as well as vector space models and probabilistic models.

This article reports the results of an experiment of classifying Japanese texts into Nippon Decimal Classification (NDC) categories based on the title information in Japanese MARC records. In this experiment, three extracting methods: ― juman, MHSA, n-gram ― are tested on a set of 1,000 books. Four weighting methods: ― relative term frequency between categories, tf・idf and tf(max)・idf ― are tested. The results indicate that the extracting method using juman achieved best and the best weighting method was the relative term frequency between categories, being able to select correct classification categories (upper three digits of NDC) for about 55.9% of 1,000 books.

Event date： 2023.2

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：オンライン   Country：Japan  

Event date： 2020.11

Language：Japanese  

Venue：慶應義塾大学三田キャンパス   Country：Japan  

Event date： 2019.11

Language：Japanese  

Venue：慶應義塾大学三田キャンパス   Country：Japan  

Event date： 2018.12

Language：English   Presentation type：Symposium, workshop panel (public)  

Venue：Kyushu University, Ito Campus   Country：Japan  

Event date： 2018.12

Language：English   Presentation type：Symposium, workshop panel (public)  

Venue：Kyushu University, Ito Campus   Country：Japan  

Event date： 2018.12

Language：English   Presentation type：Symposium, workshop panel (public)  

Venue：Kyushu University, Ito Campus   Country：Japan  

Event date： 2018.12

Language：English   Presentation type：Symposium, workshop panel (public)  

Venue：Kyushu University, Ito Campus   Country：Japan  

Event date： 2018.12

Language：English   Presentation type：Symposium, workshop panel (public)  

Venue：Kyushu University, Ito Campus   Country：Japan  

Event date： 2018.12

Language：English   Presentation type：Symposium, workshop panel (public)  

Venue：Kyushu University, Ito Campus   Country：Japan  

Event date： 2018.12

Language：English   Presentation type：Symposium, workshop panel (public)  

Venue：Kyushu University, Ito Campus   Country：Japan  

Event date： 2018.12

Language：English   Presentation type：Symposium, workshop panel (public)  

Venue：Kyushu University, Ito Campus   Country：Japan  

Event date： 2018.12

Language：English   Presentation type：Symposium, workshop panel (public)  

Venue：Kyushu University, Ito Campus   Country：Japan  

Event date： 2018.10

Language：Japanese  

Venue：慶應義塾大学三田キャンパス   Country：Japan  

Event date： 2016.11

Language：Japanese  

Venue：天理大学   Country：Japan  

Event date： 2016.9

Language：English  

Country：Japan  

Event date： 2016.5

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：白百合女子大学   Country：Japan  

Event date： 2015.11

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：慶應義塾大学三田キャンパス   Country：Japan  

Event date： 2014.11

Language：Japanese  

Venue：慶應義塾大学三田キャンパス   Country：Japan  

Event date： 2013.10

Language：Japanese  

Venue：東京大学本郷キャンパス   Country：Japan  

Event date： 2013.10

Language：Japanese  

Venue：東京大学本郷キャンパス   Country：Japan  

Event date： 2012.12 - 2012.10

Presentation type：Oral presentation (general)  

Venue：鹿児島国際大学   Country：Japan  

Event date： 2012.11

Language：Japanese  

Venue：九州大学箱崎キャンパス   Country：Japan  

Event date： 2012.11

Language：Japanese  

Venue：九州大学箱崎キャンパス   Country：Japan  

Event date： 2012.5

Presentation type：Oral presentation (general)  

Venue：三重大学   Country：Japan  

Event date： 2012.5

Language：English  

Country：United States  

Event date： 2011.11

Presentation type：Oral presentation (general)  

Venue：日本大学文理学部   Country：Japan  

Event date： 2011.10

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2010.10

Presentation type：Oral presentation (general)  

Venue：藤女子大学   Country：Japan  

Event date： 2010.5

Presentation type：Oral presentation (general)  

Venue：同志社大学   Country：Japan  

Event date： 2008.3

Presentation type：Oral presentation (general)  

Venue：東京大学本郷キャンパス   Country：Japan  

Event date： 2007.11

Presentation type：Oral presentation (general)  

Venue：慶應義塾大学三田キャンパス   Country：Japan  

Event date： 2007.10

Presentation type：Oral presentation (general)  

Venue：鶴見大学   Country：Japan  

Event date： 2007.10

Presentation type：Oral presentation (general)  

Venue：鶴見大学   Country：Japan  

Event date： 2007.3

Presentation type：Oral presentation (general)  

Venue：大阪市立大学梅田サテライト   Country：Japan  

Event date： 2007.3

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2006.10

Presentation type：Oral presentation (general)  

Venue：九州女子大学   Country：Japan  

Event date： 2006.10

Presentation type：Oral presentation (general)  

Venue：九州女子大学   Country：Japan  

Event date： 2006.5

Presentation type：Oral presentation (general)  

Venue：大東文化大学板橋キャンパス   Country：Japan  

Event date： 2006.3

Presentation type：Oral presentation (general)  

Venue：東京電機大学   Country：Japan  

Event date： 2005.10

Presentation type：Oral presentation (general)  

Venue：慶應義塾大学   Country：Japan  

Event date： 2005.5

Presentation type：Oral presentation (general)  

Venue：専修大学神田キャンパス   Country：Japan  

Event date： 2004.11

Presentation type：Oral presentation (general)  

Venue：関西大学千里山キャンパス   Country：Japan  

Event date： 2004.10

Presentation type：Oral presentation (general)  

Venue：慶應義塾大学三田キャンパス   Country：Japan  

Event date： 2004.10

Presentation type：Oral presentation (general)  

Venue：慶應義塾大学三田キャンパス   Country：Japan  

Event date： 2004.10

Presentation type：Oral presentation (general)  

Venue：慶應義塾大学三田キャンパス   Country：Japan  

Event date： 2003.11

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2003.5

Presentation type：Oral presentation (general)  

Venue：慶應義塾大学三田キャンパス   Country：Japan  

Event date： 2003.3

Presentation type：Symposium, workshop panel (public)  

Venue：国立情報学研究所   Country：Japan  

Event date： 2003.2

Country：Japan  

Event date： 2002.9

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2002.9

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2002.5

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2001.11

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2001.10

Presentation type：Oral presentation (general)  

Venue：慶應義塾大学三田キャンパス   Country：Japan  

Event date： 2001.5

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2000.11

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2000.10

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2000.10

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2000.5

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2000.5

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 1999.11

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 1999.11

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 1999.10

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 1999.10

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 1999.5

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 1999.5

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 1998.10

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 1997.12

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 1997.9

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 1996.5

Presentation type：Oral presentation (general)  

Country：Japan  

Type：Academic society, research group, etc. 

Type：Competition, symposium, etc. 

Number of participants：298

Type：Academic society, research group, etc. 

Type：Competition, symposium, etc. 

Number of participants：350

Type：Scientific advice/Review 

Type：Academic society, research group, etc. 

Type：Academic society, research group, etc. 

Type：Peer review 

Number of peer-reviewed articles in foreign language journals：1

Number of peer-reviewed articles in Japanese journals：1

Proceedings of International Conference Number of peer-reviewed papers：5

Type：Academic society, research group, etc. 

Type：Peer review 

Number of peer-reviewed articles in foreign language journals：2

Proceedings of International Conference Number of peer-reviewed papers：9

Type：Competition, symposium, etc. 

Number of participants：150

Type：Competition, symposium, etc. 

Number of participants：150

Type：Academic society, research group, etc. 

Type：Competition, symposium, etc. 

Type：Competition, symposium, etc. 

Number of participants：30

Type：Competition, symposium, etc. 

Number of participants：60

Type：Academic society, research group, etc. 

Type：Competition, symposium, etc. 

Type：Competition, symposium, etc. 

Type：Competition, symposium, etc. 

Number of participants：35

Type：Competition, symposium, etc. 

Type：Competition, symposium, etc. 

Type：Competition, symposium, etc. 

Type：Competition, symposium, etc. 

Number of participants：150

Type：Competition, symposium, etc. 

Number of participants：160

Type：Competition, symposium, etc. 

Number of participants：250