1,711 research outputs found
Visualization and analytics of codicological data of Hebrew books
The goal is to provide a proper data model, using a common vocabulary, to
decrease the heterogenous nature of these datasets as well as its inherent uncertainty
caused by the descriptive nature of the field of Codicology. This research project was
developed with the goal of applying data visualization and data mining techniques to the
field of Codicology and Digital Humanities. Using Hebrew manuscript data as a starting
point, this dissertation proposes an environment for exploratory analysis to be used by
Humanities experts to deepen their understanding of codicological data, to formulate new,
or verify existing, research hypotheses, and to communicate their findings in a richer way.
To improve the scope of visualizations and knowledge discovery we will try to use data
mining methods such as Association Rule Mining and Formal Concept Analysis. The
present dissertation aims to retrieve information and structure from Hebrew manuscripts
collected by codicologists. These manuscripts reflect the production of books of a specific
region, namely "Sefarad" region, within the period between 10th and 16th.A presente dissertação tem como objetivo obter conhecimento estruturado de
manuscritos hebraicos coletados por codicologistas. Estes manuscritos refletem a
produção de livros de uma região específica, nomeadamente a região "Sefarad", no
período entre os séculos X e XVI. O objetivo é fornecer um modelo de dados apropriado,
usando um vocabulário comum, para diminuir a natureza heterogénea desses conjuntos
de dados, bem como sua incerteza inerente causada pela natureza descritiva no campo da
Codicologia. Este projeto de investigação foi desenvolvido com o objetivo de aplicar
técnicas de visualização de dados e "data mining" no campo da Codicologia e Humanidades
Digitais. Usando os dados de manuscritos hebraicos como ponto de partida, esta
dissertação propõe um ambiente para análise exploratória a ser utilizado por especialistas
em Humanidades Digitais e Codicologia para aprofundar a compreensão dos dados
codicológicos, formular novas hipóteses de pesquisa, ou verificar existentes, e comunicar
as suas descobertas de uma forma mais rica. Para melhorar as visualizações e descoberta
de conhecimento, tentaremos usar métodos de data mining, como a "Association Rule
Mining" e "Formal Concept Analysis"
Supporting Methodology Transfer in Visualization Research with Literature-Based Discovery and Visual Text Analytics
[ES] La creciente especialización de la ciencia está motivando la rápida fragmentación
de disciplinas bien establecidas en comunidades interdisciplinares. Esta descom-
posición se puede observar en un tipo de investigación en visualización conocida
como investigación de visualización dirigida por el problema. En ella, equipos de
expertos en visualización y un dominio concreto, colaboran en un área específica
de conocimiento como pueden ser las humanidades digitales, la bioinformática, la
seguridad informática o las ciencias del deporte. Esta tesis propone una serie de
métodos inspirados en avances recientes en el análisis automático de textos y la rep-
resentación del conocimiento para promover la adecuada comunicación y transferen-
cia de conocimiento entre estas comunidades. Los métodos obtenidos se combinaron
en una interfaz de análisis visual de textos orientada al descubrimiento científico,
GlassViz, que fue diseñada con estos objetivos en mente. La herramienta se probó
por primera vez en el dominio de las humanidades digitales para explorar un corpus
masivo de artículos de visualización de propósito general. GlassViz fue adaptada en
un estudio posterior para que soportase diferentes fuentes de datos representativas de
estas comunidades, mostrando evidencia de que el enfoque propuesto también es una
alternativa válida para abordar el problema de la fragmentación en la investigación
en visualización
Highly Interactive and Natural User Interfaces: Enabling Visual Analysis in Historical Lexicography
Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage.Information technology, through the advances provided by computational linguistics and related disciplines, has opened the door to previously unthinkable possibilities of study in linguistics. The wealth and diversity of sources that is now available is fundamental to the understanding of language evolution and dictionary-making. However, these advancements are paired with a paradigm shift, in which both the user needs and the modes in which the users interact with technology have changed so much and so rapidly, that modern lexicography would need to resort to a new generation of tools to support its tasks. We present our work developed for the Nuevo Diccionario Histórico del Español (NDHE), in which the challenges of enabling deeper insight and supporting new user's tasks in diachronic linguistics have been approached from a human-computer interaction perspective. Thus, in contrast to what has happened in other disciplines in which visual analytics has focused its efforts since earlier, the analysis tools that are made now in the hands of the experts usually provide a volume of "raw" data so vast, that the data themselves can greatly hinder the work of experts. The linguistics community has already recognized the key importance of user-friendly interfaces. However, neither more powerful tools (in terms of automatic processing) nor user-friendliness alone are sufficient to support typical analytical tasks that take out the most from the multidimensional and ever-growing data stored in corpora and dictionaries. This paper discusses the benefits of producing corpus and dictionary analysis tools that go beyond user-friendliness and presents, interactive visual analysis tools produced for the NDHE and its sources
10471 Abstracts Collection -- Scalable Visual Analytics
From 21.11. to 26.11.2010, the Dagstuhl Seminar 10471 ``Scalable Visual Analytics\u27\u27 was held in Schloss Dagstuhl~--~Leibniz Center for Informatics.
During the seminar, several participants presented their current
research, and ongoing work and open problems were discussed. Abstracts of
the presentations given during the seminar as well as abstracts of
seminar results and ideas are put together in this paper. The first section
describes the seminar topics and goals in general.
Links to extended abstracts or full papers are provided, if available
Close and Distant Reading Visualizations for the Comparative Analysis of Digital Humanities Data
Traditionally, humanities scholars carrying out research on a specific or on multiple literary work(s) are interested in the analysis of related texts or text passages. But the digital age has opened possibilities for scholars to enhance their traditional workflows. Enabled by digitization projects, humanities scholars can nowadays reach a large number of digitized texts through web portals such as Google Books or Internet Archive. Digital editions exist also for ancient texts; notable examples are PHI Latin Texts and the Perseus Digital Library.
This shift from reading a single book “on paper” to the possibility of browsing many digital texts is one of the origins and principal pillars of the digital humanities domain, which helps developing solutions to handle vast amounts of cultural heritage data – text being the main data type. In contrast to the traditional methods, the digital humanities allow to pose new research questions on cultural heritage datasets. Some of these questions can be answered with existent algorithms and tools provided by the computer science domain, but for other humanities questions scholars need to formulate new methods in collaboration with computer scientists.
Developed in the late 1980s, the digital humanities primarily focused on designing standards to represent cultural heritage data such as the Text Encoding Initiative (TEI) for texts, and to aggregate, digitize and deliver data. In the last years, visualization techniques have gained more and more importance when it comes to analyzing data. For example, Saito introduced her 2010 digital humanities conference paper with: “In recent years, people have tended to be overwhelmed by a vast amount of information in various contexts. Therefore, arguments about ’Information Visualization’ as a method to make information easy to comprehend are more than understandable.” A major impulse for this trend was given by Franco Moretti. In 2005, he published the book “Graphs, Maps, Trees”, in which he proposes so-called distant reading approaches for textual data that steer the traditional way of approaching literature towards a completely new direction. Instead of reading texts in the traditional way – so-called close reading –, he invites to count, to graph and to map them. In other words, to visualize them.
This dissertation presents novel close and distant reading visualization techniques for hitherto unsolved problems. Appropriate visualization techniques have been applied to support basic tasks, e.g., visualizing geospatial metadata to analyze the geographical distribution of cultural heritage data items or using tag clouds to illustrate textual statistics of a historical corpus. In contrast, this dissertation focuses on developing information visualization and visual analytics methods that support investigating research questions that require the comparative analysis of various digital humanities datasets. We first take a look at the state-of-the-art of existing close and distant reading visualizations that have been developed to support humanities scholars working with literary texts. We thereby provide a taxonomy of visualization methods applied to show various aspects of the underlying digital humanities data. We point out open challenges and we present our visualizations designed to support humanities scholars in comparatively analyzing historical datasets. In short, we present (1) GeoTemCo for the comparative visualization of geospatial-temporal data, (2) the two tag cloud designs TagPies and TagSpheres that comparatively visualize faceted textual summaries, (3) TextReuseGrid and TextReuseBrowser to explore re-used text passages among the texts of a corpus, (4) TRAViz for the visualization of textual variation between multiple text editions, and (5) the visual analytics system MusikerProfiling to detect similar musicians to a given musician of interest. Finally, we summarize our and the collaboration experiences of other visualization researchers to emphasize the ingredients required for a successful project in the digital humanities, and we take a look at future challenges in that research field
How Visualization Supports the Daily Work in Traditional Humanities on the Example of Visual Analysis Case Studies
Attempts to convince humanities scholars of digital approaches are met with
resistance, often. The so-called Digitization Anxiety is the phenomenon that
describes the fear of many traditional scientists of being replaced by digital
processes. This hinders not only the progress of the scientific domains themselves
– since a lot of digital potential is missing – but also makes the everyday work
of researchers unnecessarily difficult. Over the past eight years, we have
made various attempts to walk the tightrope between 'How can we help
traditional humanities to exploit their digital potential?' and 'How can we
make them understand that their expertise is not replaced by digital means, but
complemented?' We will present our successful interdisciplinary collaborations:
How they came about, how they developed, and the problems we encountered. In
the first step, we will look at the theoretical basics, which paint a comprehensive
picture of the digital humanities and introduces us to the topic of visualization.
The field of visualization has shown a special ability: It manages to walk the
tightrope and thus keeps digitization anxiety at bay, while not only making it
easier for scholars to access their data, but also enabling entirely new research
questions. After an introduction to our interdisciplinary collaborations with
the Musical Instrument Museum of Leipzig University, as well as with the
Bergen-Belsen Memorial, we will present a series of user scenarios that we
have collected in the course of 13 publications. These show our cooperation
partners solving different research tasks, which we classify using Brehmer and
Munzner’s Task Classification. In this way, we show that we provide researchers
with a wide range of opportunities: They can answer their traditional research
questions – and in some cases verify long-standing hypotheses about the data
for the first time – but also develop their own interest in previously impossible,
new research questions and approaches. Finally, we conclude our insights on
individual collaborative ideas with perspectives on our newest projects. These
have risen from the growing interest of collaborators in the methods we deliver.
For example, we get insights into the music of real virtuosos of the 20th century.
The necessary music storage media can be heard for the first time through
digital tools without risking damage to the old material. In addition, we can
provide computer-aided analysis capabilities that help musicologists in their work.
In the course of the visualization project at the Bergen-Belsen memorial, we
will see that what was once a small diary project has grown into a multimodal
and international project with institutions of culture and science from eight
countries. This is dedicated not only to the question of preserving cultural
objects from Nazi persecution contexts but also to modern ways of disseminating
and processing knowledge around this context. Finally, we will compile our
experience and accumulated knowledge in the form of problems and challenges
at the border between computer science and traditional humanities. These will
serve as preparation and assistance for future and current interested parties of
such interdisciplinary collaborative project
Share - Publish - Store - Preserve. Methodologies, Tools and Challenges for 3D Use in Social Sciences and Humanities
Through this White Paper, which gathers contributions from experts of 3D data as well as professionals concerned with the interoperability and sustainability of 3D research data, the PARTHENOS project aims at highlighting some of the current issues they have to face, with possible specific points according to the discipline, and potential practices and methodologies to deal with these issues. During the workshop, several tools to deal with these issues have been introduced and confronted with the participants experiences, this White Paper now intends to go further by also integrating participants feedbacks and suggestions of potential improvements. Therefore, even if the focus is put on specific tools, the main goal is to contribute to the development of standardized good practices related to the sharing, publication, storage and long-term preservation of 3D data
A Survey of Information Visualization Books
Information visualization is a rapidly evolving field with a growing volume of scientific literature and texts continually published.To keep abreast of the latest developments in the domain, survey papers and state-of-the-art reviews provide valuable tools formanaging the large quantity of scientific literature. Recently a survey of survey papers (SoS) was published to keep track ofthe quantity of refereed survey papers in information visualization conferences and journals. However no such resources existto inform readers of the large volume of books being published on the subject, leaving the possibility of valuable knowledgebeing overlooked. We present the first literature survey of information visualization books that addresses this challenge bysurveying the large volume of books on the topic of information visualization and visual analytics. This unique survey addressessome special challenges associated with collections of books (as opposed to research papers) including searching, browsingand cost. This paper features a novel two-level classification based on both books and chapter topics examined in each book,enabling the reader to quickly identify to what depth a topic of interest is covered within a particular book. Readers can usethis survey to identify the most relevant book for their needs amongst a quickly expanding collection. In indexing the landscapeof information visualization books, this survey provides a valuable resource to both experienced researchers and newcomers inthe data visualization discipline
The Network Turn
This Element contends that networks are a category of study that cuts across traditional academic barriers, uniting diverse disciplines through a shared understanding of complexity in our world. This title is also available as Open Access on Cambridge Core
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