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Grundlagenermittlung für die digitale Werkbank qualitativ-hermeneutisch arbeitender Geisteswissenschaftlerinnen: Exploration geisteswissenschaftlicher Forschung mit Fokus auf Exzerpten und Literaturverwaltung 为数字工作银行的上等货色调查:注重外向和文学管理的社会学研究考察
Michael Achmann, Florin Schwappach
Dieser Beitrag berichtet von einer Fallstudie zum wissenschaftlichen Arbeiten mit Nachwuchswissenschaftlerinnen. Der Fokus der Untersuchung lag auf den Aktivitäten Notieren, Exzerptproduktion und Literaturverwaltung bei qualitativhermeneutisch arbeitenden Geisteswissenschaftlerinnen. Das Ergebnis legt nahe, dass vorhandene Literaturverwaltungssoftware nicht zum mentalen Modell der Geisteswissenschaftlerinnen passt, da dieses Notizen und Exzerpte im Mittelpunkt eines bibliografischen Eintrags sehen. Entsprechend sollten die Digital Humanities bei der Entwicklung zukünftiger Werkzeuge das Notieren und die Literaturverwaltung sowie die Verknüpfung beider Aktivitäten stärker in den Fokus setzen. Zur Verifizierung der Erkentnisse aus der Fallstudie sind weitere quantitative Studien notwendig.
本文报道了一个为青少年科学家进行的学术研究。调查集中在不可能的活动和上等货色和上等文学管理方面。结果表明现有的文学管理软件不符合语言学家的思维模式这一点并不符合这一点毕竟这是百科全书的中心点因此,数字人道主义爱好者设计新工具时应该更加关注记录、文学管理以及这两种活动之间的联系。还需要其他定量研究来验证个案研究中的证据。
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引用次数: 0
Information Behavior von unbegleiteten, minderjährigen Geflüchteten unter Berücksichtigung der Rolle und Nutzung von Smartphones 同时考虑到智能手机的角色和使用情况
Leyla Dewitz
Die Masterthesis wurde im Rahmen des Studiengangs Informationswissenschaft M.A. am Lehrstuhl Information Behavior des Instituts für Bibliotheks - und Informationswissenschaft der Humboldt - Universität Berlin angefertigt. Abstract Diese explorative Studie untersucht das Information Behavior von unbegleiteten, minderjährigen Geflüchteten 1 vor, während und nach ihrer Flucht nach Deutschland und inwieweit dabei die Nutzung von Smartphones eine Rolle spielt. Ziel der Untersuchung ist es, Verhaltensweisen jugendlicher Geflüchteter in Bezug auf das Suchen, Finden, Evaluieren, Teilen und Vermeiden von Information zu erforschen. Zur Beantwortung der Forschungsfrage wurde die Methode des qua-litativen Leitfadeninterviews genutzt. Die befragten Jugendlichen des Samples ( n = 10) waren männlichen Geschlechts und bildungsbenachteiligten Milieus zuzuordnen. Ergebnisse zeigen strategisches Vorgehen der Jugendlichen bei der Suche nach Informationen weniger im Heimatland und auf der Flucht, jedoch im Exil in Deutschland. Flüchtiges oder passives Aufnehmen bis hin zu aktivem Vermeiden von Informationen zeigen sich als hervorstechende Merkmale. Smartphones werden nur begrenzt zur Übersetzung und Navigation auf der 1 Kinder und Jugendliche, Flucht eingesetzt, gelten jedoch als Hilfsmittel zur Befriedigung von sozial emotionalen Grundbedürfnissen und zum Spracherwerb.
在柏林洪堡大学图书馆和信息科学学院图书馆教学学院信息社团内,硕士学位学科。抽象地研究了这一探索性的研究,对青少年孤身逃逸的信息进行了调查,1在他们逃到德国的期间和之后,以及为什么智能手机的使用会对他们产生影响。这项研究旨在发现逃离的年轻人对寻找、找到、评价、分享和避免获得信息的态度。对探求求理解是用非营利性访问为背景。萨姆普勒斯(n = 10)所访问的青少年属于男性性别和教育程度不高的家庭。结果显示,年轻人在寻找资料时,可能会在本国和国外浪费时间,但在德国流放。(外皮、外皮、外星活动)已成为引人注目的特点。语言使用者在其中一个儿童及青少年中,运用智能手机来翻译和导航,但是它被视为帮助解决社会的情绪需要或习得障碍的工具。
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引用次数: 1
Forschungsdatenmanagement in Brandenburg (FDM-BB): Aufbau einer Landesinitiative 勃兰登堡州的研究数据管理(fdm bb):设计一项州倡议
H. Neuroth, N. Hartmann, Janine Straka, Ina Radtke, Ulrike Wuttke
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引用次数: 0
The Benefits of RDF and External Ontologies for Heterogeneous Data: A Case Study Using the Japanese Visual Media Graph RDF和外部本体对异构数据的好处:使用日本视觉媒体图的案例研究
Senan Kiryakos, Magnus Pfeffer
Across numerous fan created and curated websites, there exists a wealth of semantically rich descriptive data for a variety of Japanese visual media, such as anime, manga, and video games. The amount and granularity of these data makes it valuable for domain researchers, but the semantic heterogeneity and lack of interconnectedness makes analysis cumbersome. Seeking to address this issue, the Japanese Visual Media Graph (JVMG) project aims to create a type of global database built using RDF and external ontologies to better enable data-driven research in the domain. We discuss the benefits this approach has when compared to the local relational databases used at the fan-sites, such as enabling the easy creation of aggregate resources using data from multiple providers, and the ability to constantly update and alter a schema over time. This encourages the incorporation of additional data in the future, while still maintaining rich data semantics and provenance. While many of the benefits are discussed in the context of the JVMG project or the Japanese visual media domain, we discuss how this database approach may be similarly advantageous to other projects that seek to create aggregate resources, or collect heterogeneous data from diverse sources.
在众多粉丝创建和策划的网站中,存在着大量语义丰富的描述性数据,适用于各种日本视觉媒体,如动漫、漫画和电子游戏。这些数据的数量和粒度对领域研究人员来说是有价值的,但语义的异构性和缺乏互联性使分析变得繁琐。为了解决这个问题,日本视觉媒体图(JVMG)项目旨在创建一种使用RDF和外部本体构建的全球数据库,以更好地支持该领域的数据驱动研究。我们讨论了与在粉丝站点上使用的本地关系数据库相比,这种方法的优点,例如支持使用来自多个提供者的数据轻松创建聚合资源,以及随着时间的推移不断更新和更改模式的能力。这鼓励在将来合并其他数据,同时仍然保持丰富的数据语义和来源。虽然在JVMG项目或日本视觉媒体领域的上下文中讨论了许多好处,但我们讨论了这种数据库方法如何对寻求创建聚合资源或从不同来源收集异构数据的其他项目具有类似的优势。
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引用次数: 2
What Is Information Literacy and How to Improve It? 什么是信息素养?如何提高信息素养?
Joachim Griesbaum, D. Çetta, Thomas Mandl, Elke G. Montanari
Information literacy is a controversially discussed topic with heterogeneous defi-nitions. In the context of a project on “Information Literacy and Democracy” in Germany, 21 experts from diverse scientific backgrounds submitted position papers in which the authors provided their perspectives on the following questions: What is information literacy? How to foster information literacy? What are the central developments in the field of information literacy? What other aspects are relevant? Based on document analysis, this contribution unites the core mes-sages of the 19 position papers for an international audience. Such a combined view of 21 experts from diverse scientific backgrounds is rather scarce. By merg-ing the views of many experts and transcending disciplinary borders, this paper hopes to make a small contribution to stimulate multidisciplinary discussions on information literacy and corresponding approaches to improve it.
信息素养是一个有争议的话题,有着不同的定义。在德国“信息素养与民主”项目的背景下,来自不同科学背景的21位专家提交了立场文件,其中作者就以下问题提出了自己的观点:什么是信息素养?如何培养信息素养?信息素养领域的主要发展是什么?还有哪些方面是相关的?在文献分析的基础上,这篇文章将19份立场文件的核心观点统一起来,供国际读者阅读。来自不同科学背景的21位专家的联合观点是相当罕见的。通过融合众多专家的观点,超越学科的界限,本文希望为激发信息素养的多学科讨论和相应的改进方法做出一点贡献。
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引用次数: 1
The Expanded Potential of Linking Different Types of Information and Data in the Digital Humanities: How Do Innovative Approaches Derived from Information Science and Data Science Contribute to a Knowledge Gain Across Disciplines? 在数字人文学科中连接不同类型的信息和数据的扩展潜力:来自信息科学和数据科学的创新方法如何有助于跨学科的知识获取?
V. Husfeldt, Sharon Alt
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引用次数: 0
Omission of Information: Identifying Political Slant via an Analysis of Co-occurring Entities 信息遗漏:通过对共存实体的分析来识别政治倾向
J. Ehrhardt, Timo Spinde, Ali Vardasbi, Felix Hamborg
Due to the strong impact the news has on society, the detection and analysis of bias within the media are important topics. Most approaches to bias detection focus on linguistic forms of bias or the evaluation and tracing of sources. In this paper, we present an approach that analyzes co - occurrences of entities across articles of different news outlets to indicate a strong but difficult to detect form of bias: bias by omission of information. Specifically, we present and evaluate different methods of identifying entity co - occurrences and then use the best performing method, reference entity detection, to analyze the coverage of nine major US news outlets over one year. We set a low performing but transparent baseline, which is able to identify a news outlet’s affiliation towards a political orientation. Our approach employing reference entity selection, i. e., analyzing how often one entity co - occurs with others across a set of documents, yields an F1 score of F1 = 0.51 compared to F1 = 0.20 of the TF - IDF baseline. for further testing. Those approaches did not show high performance, they did not the peculiarities of bias by omission of information.
由于新闻对社会的强烈影响,发现和分析媒体中的偏见是一个重要的课题。大多数偏见检测方法都集中在偏见的语言形式或来源的评估和追踪上。在本文中,我们提出了一种分析不同新闻媒体文章中实体共现的方法,以表明一种强烈但难以检测的偏见形式:信息遗漏的偏见。具体来说,我们提出并评估了识别实体共现的不同方法,然后使用表现最好的方法,参考实体检测,来分析美国九家主要新闻媒体在一年内的报道。我们设置了一个低绩效但透明的基准,它能够识别新闻媒体对政治取向的隶属关系。我们的方法采用参考实体选择,即分析一个实体在一组文档中与其他实体共同出现的频率,与TF - IDF基线的F1 = 0.20相比,F1得分为F1 = 0.51。以作进一步测试。这些方法没有显示出高的性能,它们没有由于信息遗漏而产生偏见的特性。
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引用次数: 5
Ist die Webseite suchmaschinenoptimiert? Vorstellung eines Online-Tools zur Analyse der Wahrscheinlichkeit der Suchmaschinenoptimierung auf einer Webseite 网站搜索功能优化了吗让人们对一个网站上优化搜索引擎的可能性进行在线分析
Sebastian Sünkler, Dirk Lewandowski
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引用次数: 0
Digitale Kunstgeschichte und Bilddatenbanken als Synthese von Foto-, Dia- und Bibliothek 数字艺术历史和影像数据库,作为照片、迪亚还有图书馆的合成
P. Bell
Bibliothek Bilddatenbanken
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引用次数: 0
Design and Development of an Emoji Sentiment Lexicon 表情符号情感词典的设计与开发
Fabian Haak
Emojis represent an essential means of expressing sentiments such as opinions and attitudes in computer - mediated communication, especially in chats and social media. To effectively capture these sentiments, the sentiments associated with the emojis used must be known. Previous approaches to determining the sentiments expressed with emojis require a large amount of manual annotation. For many emojis, especially less frequently used platform - specific emojis, studies on expressed sentiments do not yet exist. Therefore, these emojis cannot be considered in sentiment analyses so far. In this work, a method for effective and efficient determination of emojis’ sentiments and their compilation in a sentiment lexicon was developed. The determined sentiments are compiled as a sentiment lexicon. For this purpose, software was created in Python to process collections of texts into a corpus. The software derives the emojis’ sentiments as valence values based on the sentiments of the texts in which the emojis appear. The lexicons produced by the method can be used in lexicon - based sentiment analysis approaches. The method also derives other information on the emojis and their usage that can be used to assess the sentiment lexicon produced and the usage of the emojis. Using the developed method, two analyses were conducted with corpora of different text sources. The results and subsequent comparisons with existing sentiment lexicons have shown that the developed method is able to efficiently produce similar results as sentiment lexicons produced with manual annotation.
在以电脑为媒介的交流中,尤其是在聊天和社交媒体中,表情符号是表达观点和态度等情感的重要手段。为了有效地捕捉这些情绪,必须知道与所使用的表情符号相关的情绪。以前确定表情符号所表达的情感的方法需要大量的手工注释。对于许多表情符号,特别是使用频率较低的平台专用表情符号,目前还没有对所表达的情绪进行研究。因此,到目前为止,这些表情符号还不能用于情感分析。在这项工作中,开发了一种有效和高效地确定表情符号情感并将其汇编到情感词典中的方法。将已确定的情绪编成情感词典。为此,用Python创建了软件来将文本集合处理成语料库。该软件根据出现表情符号的文本的情感,推导出表情符号的情感作为价值。该方法生成的词汇可用于基于词汇的情感分析方法。该方法还可以提取有关表情符号及其使用的其他信息,这些信息可用于评估表情符号产生的情感词典和使用情况。利用所开发的方法,对不同文本来源的语料库进行了两次分析。结果以及随后与现有情感词典的比较表明,所开发的方法能够有效地产生与手动注释产生的情感词典相似的结果。
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ISI ... : ... IEEE Intelligence and Security Informatics. IEEE International Conference on Intelligence and Security Informatics
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