• ResearchGate
  • Zenodo
  • Twitter
  • LinkedIn
  • Instagram
  • Facebook
  • Youtube
  • Rss
Human-Computer Interaction & Visual Analytics 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 / Teaching2 / Demo3 / Thesis Presentation: Visual Trend Analysis on Digital Semantic Library...
h_da

Thesis Presentation: Visual Trend Analysis on Digital Semantic Library Data for Innovation Management

08/11/2018/in Allgemein, Demo, Scitics, Teaching, Technology, Thesis, TU Darmstadt/by Dirk Burkhardt

When: 12/11/2018 16:00
Where: Frauhofer IGD, Fraunhoferstr. 5, Room 0.73
Who: Ranveer Purey (Author), Dipl.-Inf. Dirk Burkhardt (Coordinator/Co-Supervisor), Prof. Dr. Arjan Kuijper (Supervisor)

What: Master Thesis – “Visual Trend Analysis on Digital Semantic Library Data for Innovation Management“

Abstract:
The amount of scientific data published online has been witnessing massive growth in the recent years. This has led to exponential growth in the amount of data stored in digital libraries (DLs) such as springer, eurographics, digital bibliography and library Project (dblp), etc. One of the major challenges is to prevent users from getting lost in irrelevant search results, when they try to retrieve information in order to get meaningful insights from these digital libraries. This problem is known as information overload. Other challenge is the quality of data in digital libraries. A quality of data can be affected by factors such as missing information, absence of links to external databases or data is not well structured, and the data is not semantically annotated. Apart from data quality, one more challenge is the fact that, there are tools available which help users in retrieving and visualizing the information from large data sets, but these tools lack one or the other basic requirements like data mining, visualizations, interaction techniques etc. These issues and challenges have led to increase in the research in the field of visual analytics, it is a combination of data processing, information visualization, and human computer interaction disciplines.
The main goal of this thesis is to overcome the information overload problem and the challenges mentioned above. This can be achieved by using digital library named SciGraph by springer, which serves as a very rich source of semantically annotated data. The data from SciGraph can be used in combination with data integration, data mining and information visualization techniques in order to aid users in decision making process and perform visual trend analysis on digital semantic library data. This concept would be designed and developed as a part of innovation management process, which helps transforming innovative ideas into reality using a structured process.
In this thesis, a conceptual model for performing visual trend analysis on digital semantic library data as part of innovation management process had been proposed and implemented. In order to create the conceptual model, several disciplines such as human computer interaction, trend detection methods, user centered design, user experience and innovation management have been researched upon. In addition, evaluation of various information visualization tools for digital libraries has been carried out in order to find out and address the challenges faced by these tools. The conceptual model proposed in this thesis, combines the usage of semantic data with information visualization process and also follows structured innovation management process, in order to ensure that the concept and implementation (proof of concept) are valid, usable and valuable to the user.

Tags: Business Analytics, Innovation Management, Scientific Data, Trend Analysis, Visual Analytics, Visual Trend Analysis
Share this entry
  • Share on Facebook
  • Share on Twitter
  • Share on WhatsApp
  • Share on Pinterest
  • Share on LinkedIn
  • Share on Reddit
  • Share by Mail
https://vis.h-da.de/wp-content/uploads/2018/12/symbolic_teaching.png 774 1199 Dirk Burkhardt https://vis.h-da.de/wp-content/uploads/2019/10/LG0_vis_RG_light_Blue_huge_cutted-300x145.png Dirk Burkhardt2018-11-08 12:51:112022-02-02 11:19:28Thesis Presentation: Visual Trend Analysis on Digital Semantic Library Data for Innovation Management
You might also like
Kickoff of the National AVARTIM Project
International Conference Information Visualization 2019 23rd International Conference Information Visualization (iV 2019)
h_da Midhad Blazevic defended his Master Thesis on Visual Search and Exploration for Scientific Publications through Similarity
h_da Thesis Presentation: Named-Entity Recognition on Publications and Raw-Text for Meticulous Insight at Visual Trend Analytics
h_da Thesis Presentation: Visual Trend Analysis on Condensed Expert Data beside Research Library Data for Enhanced Insights
Teaching - symbol figureh_da Thesis Presentation: Visual Analytics on Enterprise Reports for Investment and Strategical Analysis

Categories

  • Allgemein (39)
  • Business (6)
    • Conference (4)
    • Workshop (1)
  • News (29)
    • Action (3)
    • Deadline (1)
    • Event (13)
  • Personal (1)
  • Research (51)
    • Action (7)
    • Book (2)
    • Conference (12)
    • EUT+ (1)
    • h_da (11)
    • Journal (4)
    • Project (8)
    • Prototype (2)
    • Publication (22)
    • Workshop (4)
  • Talk (4)
  • Teaching (29)
    • Demo (3)
    • h_da (15)
    • Lecture (6)
    • Practical Experience (1)
    • Seminar (1)
    • Thesis (10)
    • TU Darmstadt (5)
  • Technology (24)
    • Scitics (19)
    • SmartEval (1)

Tags

Adaptive Visualization (5) Artificial Intelligence (8) Big data Analytics (6) Bioinformatics (4) Business Analytics (19) Business Information Systems (5) Business Management (5) CERC (5) Collaboration (16) Conference (8) Data Analysis (9) Data Analytics (6) Data Mining (9) Data Science (5) Decision Making (6) Digital Libraries (8) eGovernance (6) eGovernment (9) Europe (7) Human-Computer Interaction (6) h_da (6) Information Visualization (20) Innovation Management (13) Intelligent Visualization (9) iV (9) Machine Learning (7) Master Thesis (6) Multimedia (5) Research (24) Research Networks (9) Research Project (9) Scientific Data (5) Simulation (5) Technology Management (9) Text Mining (13) Thesis (6) Trend Analysis (11) Trend Analytics (8) User-Centered Design (19) Visual Analytics (48) Visual Computing (7) Visual Interfaces (7) Visualization (10) Visual Trend Analysis (31) Visual Trend Analytics (23)

History

Recent News

  • IV 2022 Proceedings & General Co-Chair25/01/2023 - 16:18
  • Participation at IV 202219/08/2022 - 16:59
  • Book published– Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery13/06/2022 - 9:28

About | Services | Imprint | Data Privacy

© 2023 Research Group on Human-Computer Interaction & Visual Analytics (vis) – Darmstadt University of Applied Sciences (h_da)

Global Strategic AllianceThesis Presentation: User-Centered Scientific Publication Research and Exploration...
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, refusing 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