• ResearchGate
  • Twitter
  • LinkedIn
  • Instagram
  • Facebook
  • Youtube
  • Rss
Human-Computer Interaction & Visual Analyitics Reasearch Group (vis) at Darmstadt University of Applied Sciences (h_da)
  • Home
  • Research
    • Research Fields
    • Application Scenarios
    • Projects
    • Publications
  • Publications
  • Technologies
    • Scitics Trend Analytics Technology
    • SmartEval Evaluation Technology
    • Services
  • Teaching
    • Lectures
    • Practical Courses
    • Bachelor & Master Theses
  • Team
    • Offerings
    • Contact
  • Network
  • Search
  • Menu Menu
You are here: Home1 / iV

Posts

Two Paper Accepted at 24rd Internation Conference Information Visualization (iV 2020)

04/08/2020/in Allgemein, Event, Publication, Research, Scitics /by Dirk Burkhardt

We are very glad to be accepted for presenting our papers titled “Comparison of Full-text Articles and Abstracts for Visual Trend Analytics through Natural Language Processing” and “An Industry 4.0-Ready Visual Analytics Model for Context-Aware Diagnosis in Smart Manufacturing” at the high-class conference Information Visualisation Conference (iV 2020). Due to Corona epidemic the conference is hold virtually. The iV 2020 is an international conference that aims to provide a foundation for integrating the human-centered, technological and strategic aspects of information visualization to promote international exchange, cooperation and development.

Paper #1: Comparison of Full-text Articles and Abstracts for Visual Trend Analytics through Natural Language Processing

Abstract:
Scientific publications are an essential resource for detecting emerging trends and innovations in a very early stage, by far earlier than patents may allow. Thereby Visual Analytics systems enable a deep analysis by applying commonly unsupervised machine learning methods and investigating a mass amount of data. A main question from the Visual Analytics viewpoint in this context is, do abstracts of scientific publications provide a similar analysis capability compared to their corresponding full-texts? This would allow to extract a mass amount of text documents in a much faster manner. We compare in this paper the topic extraction methods LSI and LDA by using full text articles and their corresponding abstracts to obtain which method and which data are better suited for a Visual Analytics system for Technology and Corporate Foresight. Based on a easy replicable natural language processing approach, we further investigate the impact of lemmatization for LDA and LSI. The comparison will be performed qualitative and quantitative to gather both, the human perception in visual systems and coherence values. Based on an application scenario a visual trend analytics system will further illustrate the outcomes.

Link to paper/fulltext: DOI: 10.1109/10.1109/IV51561.2020.00065

More information about the technology: Scitics for Visual Trend Analytics

Paper#2: An Industry 4.0-Ready Visual Analytics Model for Context-Aware Diagnosis in Smart Manufacturing

Abstract:
The integrated cyber-physical systems in Smart Manufacturing generate continuously vast amount of data. These complex data are difficult to assess and gather knowledge about the data. Tasks like fault detection and diagnosis are therewith difficult to solve. Visual Analytics mitigates complexity through the combined use of algorithms and visualization methods that allow to perceive information in a more accurate way. Thereby, reasoning relies more and more on the given situation within a smart manufacturing environment, namely the context. Current general Visual Analytics approaches only provide a vague definition of context. We introduce in this paper a model that specifies the context in Visual Analytics for Smart Manufacturing. Additionally, our model bridges the latest advances in research on Smart Manufacturing and Visual Analytics. We combine and summarize methodologies, algorithms and specifications of both vital research fields with our previous findings and fuse them together. As a result, we propose our novel industry 4.0-ready Visual Analytics model for context-aware diagnosis in Smart Manufacturing.

Link to paper/fulltext: DOI: 10.1109/10.1109/IV51561.2020.00064

https://vis.h-da.de/wp-content/uploads/2020/05/IV2020_neu.jpg 1116 1920 Dirk Burkhardt https://vis.h-da.de/wp-content/uploads/2019/10/LG0_vis_RG_light_Blue_huge_cutted-300x145.png Dirk Burkhardt2020-08-04 08:23:082020-11-27 12:15:02Two Paper Accepted at 24rd Internation Conference Information Visualization (iV 2020)

Elected in the Board of Publication Chairs @ International Information Visualisation Conference (iV2020)

22/05/2020/in Conference, Event, Publication /by Kawa Nazemi

Professor Dr. Kawa Nazemi was elected as member of the publication chair board of the International Information Visualisation Conference (iV 2020) in Vienna, Austria. The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered, technological and strategic aspects of information visualization to promote international exchange, cooperation and development.

The scope of the conference covers the following topics:

  • Combining visual and computational methods of Data Analysis, Machine Learning and Artificial Intelligence
  • Visual Analytics models and approaches
  • Novel Visual Analytics applications
  • Visual Trend Analytics
  • Visual Analytics of spatial, temporal, and spatio-temporal data
  • Knowledge construction and management in Visual Analytics
  • Guidance in Visual Analytics
  • Intelligent approaches of Visual Analytics and Data Science
  • Adaptive Visual Analytics
  • Cognitive approaches and explanations for Visual Analytics
  • Visual Analytics for explaining AI
  • Visualization of Data Mining algorithms
  • Empirical performance studies
  • Evaluation of Visual Data Mining methods
  • Collaborative Visual

Please note that the IV2020 will be held online and the submission deadline was extended. The processings will be published as usual in IEEE Xplore.

Our Group co-organizes the main symposium 12th International Symposium Visual Analytics and Data Science.

https://vis.h-da.de/wp-content/uploads/2020/05/IV2020_neu.jpg 1116 1920 Kawa Nazemi https://vis.h-da.de/wp-content/uploads/2019/10/LG0_vis_RG_light_Blue_huge_cutted-300x145.png Kawa Nazemi2020-05-22 15:23:212021-01-05 11:01:26Elected in the Board of Publication Chairs @ International Information Visualisation Conference (iV2020)

VIS-Group co-organizes the International Information Visualisation Conference (iV2020)

26/11/2019/in Conference, Event, Publication /by Dirk Burkhardt

We are co-organizing the track International Symposium Visual Analytics and Data Science (VA) at the next International Information Visualisation Conference (iV 2020) in Vienna, Austria on 28-31 July 2020. The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered, technological and strategic aspects of information visualization to promote international exchange, cooperation and development.

Interested parties in the arae of Visual Computing are invited to submit paper propsals until 15 March 2020 via the conference submission system. Please note the covered topics and the call for papers, as well as the submision guidelines.

Please note our summarization to the 24rd International Conference Information Visualization (iV 2020) event.

https://vis.h-da.de/wp-content/uploads/2019/11/2020iV-conference.png 760 1177 Dirk Burkhardt https://vis.h-da.de/wp-content/uploads/2019/10/LG0_vis_RG_light_Blue_huge_cutted-300x145.png Dirk Burkhardt2019-11-26 20:43:002020-06-10 12:36:49VIS-Group co-organizes the International Information Visualisation Conference (iV2020)

Paper accepted at 23rd Internation Conference Information Visualization (iV 2019)

10/05/2019/in Allgemein, Event, Publication, Research, Scitics /by Dirk Burkhardt

We are very glad to be accepted for presenting our paper titled “Visual Analytics for Analyzing Technological Trends from Text” at the high-class conference iV 2019 in Paris, France. The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centered, technological and strategic aspects of information visualization to promote international exchange, cooperation and development.

Paper: Visual Analytics for Analyzing Technological Trends from Text

Abstract:
The awareness of emerging technologies is essential for strategic decision making in enterprises. Emerging and decreasing technological trends could lead to strengthening the competitiveness and market positioning. The exploration, detection and identification of such trends can be essentially supported through information visualization, trend mining and in particular through the combination of those. Commonly, trends appear first in science and scientific documents. However, those documents do not provide sufficient information for analyzing and identifying emerging trends. It is necessary to enrich data, extract information from the integrated data, measure the gradient of trends over time and provide effective interactive visualizations. We introduce in this paper an approach for integrating, enriching, mining, analyzing, identifying and visualizing emerging trends from scientific documents. Our approach enhances the state of the art in visual trend analytics by investigating the entire analysis process and providing an approach for enabling human to explore undetected potentially emerging trends.

Link to paper/fulltext: https://dx.doi.org/10.1109/IV.2019.00041

More information about the technology: Scitics for Visual Trend Analytics

Demo video:

https://vis.h-da.de/wp-content/uploads/2019/05/20190702_iV_Paris.jpg 562 979 Dirk Burkhardt https://vis.h-da.de/wp-content/uploads/2019/10/LG0_vis_RG_light_Blue_huge_cutted-300x145.png Dirk Burkhardt2019-05-10 11:08:142020-06-15 17:25:51Paper accepted at 23rd Internation Conference Information Visualization (iV 2019)

Categories

  • Allgemein (28)
  • Business (4)
    • Conference (3)
    • Workshop (1)
  • News (24)
    • Action (2)
    • Event (11)
  • Research (37)
    • Action (7)
    • Conference (4)
    • h_da (5)
    • Journal (1)
    • Project (6)
    • Prototype (2)
    • Publication (15)
    • Workshop (4)
  • Talk (3)
  • Teaching (20)
    • Demo (3)
    • h_da (11)
    • Lecture (5)
    • Practical Experience (1)
    • Seminar (1)
    • Thesis (7)
    • TU Darmstadt (3)
  • Technology (21)
    • Scitics (17)
    • SmartEval (1)

Tags

Artificial Intelligence (4) Business Analytics (15) Business Management (4) Collaboration (11) Conference (4) Cyber-Physical Systems (3) Data Analysis (5) Data Analytics (4) Data Mining (6) Decision Making (4) Digital Libraries (4) eGovernance (6) eGovernment (9) Europe (6) h_da (4) Industry 4.0 (4) Information Science (4) Information Systems (3) Information Visualization (13) Innovation Management (12) Intelligent Visualization (3) iV (4) Legal Data (3) Machine Learning (3) Research (17) Research Day (4) research networks (7) research project (7) Scientific Data (4) Semantics Visualization (3) Simulation (4) Smart Manufacturing (4) Technology Management (8) Text Mining (10) Trend Analysis (10) Trend Analytics (7) University (3) User-Centered Design (9) Visual Analytics (33) Visual Computing (4) Visual Interfaces (5) Visualization (6) Visual Trend Analysis (21) Visual Trend Analytics (14) workshop (4)

Recent News

  • Book Chapter published in Student Handbook “Praxishandbuch Forschungsdatenmanagement”21/01/2021 - 9:57
  • Kickoff of the European Project “Partnerships with Eastern Europe”04/01/2021 - 16:43
  • Our team wishes you happy christmas holidays and a happy new year!22/12/2020 - 8:50

History

About | Imprint | Data Privacy

© 2020 Research Group on Human-Computer Interaction & Visual Analytics (vis) – Darmstadt University of Applied Sciences (h_da)

Scroll to top

This website uses cookies to enhance its ease of use. Click "Learn More" to get detailed descriptions and further options!

OKLearn More

Cookie and Privacy Settings



How we use cookies

We may request cookies to be set on your device. We use cookies to let us know when you visit our websites, how you interact with us, to enrich your user experience, and to customize your relationship with our website.

Click on the different category headings to find out more. You can also change some of your preferences. Note that blocking some types of cookies may impact your experience on our websites and the services we are able to offer.

Essential Website Cookies

These cookies are strictly necessary to provide you with services available through our website and to use some of its features.

Because these cookies are strictly necessary to deliver the website, refuseing them will have impact how our site functions. You always can block or delete cookies by changing your browser settings and force blocking all cookies on this website. But this will always prompt you to accept/refuse cookies when revisiting our site.

We fully respect if you want to refuse cookies but to avoid asking you again and again kindly allow us to store a cookie for that. You are free to opt out any time or opt in for other cookies to get a better experience. If you refuse cookies we will remove all set cookies in our domain.

We provide you with a list of stored cookies on your computer in our domain so you can check what we stored. Due to security reasons we are not able to show or modify cookies from other domains. You can check these in your browser security settings.

Other external services

We also use different external services like Google Webfonts, Google Maps, and external Video providers. Since these providers may collect personal data like your IP address we allow you to block them here. Please be aware that this might heavily reduce the functionality and appearance of our site. Changes will take effect once you reload the page.

Google Webfont Settings:

Google Map Settings:

Google reCaptcha Settings:

Vimeo and Youtube video embeds:

Privacy Policy

You can read about our cookies and privacy settings in detail on our Privacy Policy Page.

Datenschutzerklärung
Accept settingsHide notification only