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Visual Trend Analytics@Information Science Trends: Search Engines and Information Retrieval

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The event “Information Science Trends: Search Engines and Information Retrieval”, organized and hosted by the European Chapter of the Association for Information Science and Technology, focuses on certain research topics introduced by invited speeches from research and industry. The major covered research areas are:

  • Retrieval research on web search engines, web services, professional information services, social media
  • Information seeking behavior
  • Information retrieval
  • Discovery systems
  • People interacting with search systems
  • Searching in the library and other scientific contexts
  • Understanding user behavior

Additionally, they will provide networking space to energetically share ideas and interests from the fields of information science and related disciplines.

At this event Prof. Dr. Nazemi gives a speech on “Visual Trend Analytics in Digital Libraries”, in particular based on the experiences with the own developed Scitics solution. Here he gives an overview about current research actions and challenges toward visual trend analysis, but also on opportunities and benefits for companies. In particular the digitalization challenges a number of small and medium sized enterprises to be aware of modern technologies and trends that revolute the market or impacts the current businesses

Show full event video on YouTube

The event takes places on April 26, 2019, at the Hamburg University of Applied Sciences in Hamburg, Germany.
More information about the event can be found on the event website or on the organizers website.

Kickoff of the National AVARTIM Project

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Today is the kickoff of the national project AVARTIM. The project has to goal of the early recognition of technological trends and the targeted handling of market and technology signals are becoming increasingly important for companies. As part of the project, “AVARTIM” is to be used to develop a software-supported process for recognizing and evaluating trends, market and technology signals in order to sustainably support the process of innovation and technology management. As part of the project, an infrastructure will be set up at Darmstadt University of Applied Sciences, which is modular and thus able to react quickly to technological changes. The infrastructure to be developed here serves as preliminary research and initial technology both for industrial use by and with the SME partners as well as for the application for joint projects. First of all, participation in the LOEWE funding line 3 of the state of Hessen and subsequently in the tender for LEIT-ICT / Big Data technologies of the EU is aimed at.

More about the project you will find on project description site. The work on the infrastructure as well as the developments are all made on our novel Scitics solution.

Two papers in Journal of ICTE in Transportation and Logistics 2018

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We are glad to announce that two submission of us were accepted in the Elsevier journal Procedia Computer Science of ICTE in Transportation and Logistics 2018. The ICTE in Transportation and Logistics is an interdisciplinary annual issue operating on the edge between transportation, logistics and computer science. The aim of the journal is promotion of introduction the latest IT achievements and active research methods in transportation and logistics involving citizens in training and decision making through participation in social networking. The audience of the journal are academicians, municipalities, professional associations, public and private funded organizations, industry professionals, researchers and students. The accepted papers are:

#1 Visual analytical dashboards for comparative analytical tasks – a case study on mobility and transportation

Mobility, logistics and transportation are emerging fields of research and application. Humans’ mobility behavior plays an increasing role for societal challenges. Beside the societal challenges these areas are strongly related to technologies and innovations. Gathering information about emerging technologies plays an increasing role for the entire research in this ares. Humans’ information processing can be strongly supported by Visual Analytics that combines automatic modelling and interactive visualizations. The juxtapose orchestration of interactive visualization enables gathering more information in a shorter time. We propose in this paper an approach that goes beyond the established methods of dashboarding and enables visualizing different databases, data-sets and sub-sets of data with juxtaposed visual interfaces. Our approach should be seen as an expandable method. Our main contributions are an in-depth analysis of visual task models and an approach for juxtaposing visual layouts as visual dashboards to enable solving complex tasks. We illustrate our main outcome through a case study that investigates the area of mobility and illustrates how complex analytical tasks can be performed easily by combining different visual interfaces.

Link: https://dx.doi.org/10.1016/j.procs.2019.01.117

#2 Visual legal analytics – A visual approach to analyze law-conflicts of e-Services for e-Mobility and transportation domain

The impact of the electromobility has next to the automotive industry also an increasing impact on the transportation and logistics domain. In particular the today’s starting switches to electronic trucks/scooter lead to massive changes in the organization and planning in this field. Public funding or tax reduction for environment friendly solutions forces also the growth of new mobility and transportation services. However, the vast changes in this domain and the high number of innovations of new technologies and services leads also into a critical legal uncertainty. The clarification of a legal status for a new technology or service can become cost intensive in a dimension that in particular startups could not invest. In this paper we therefore introduce a new approach to identify and analyze legal conflicts based on a business model or plan against existing laws. The intention is that an early awareness of critical legal aspect could enable an early adoption of the planned service to ensure its legality. Our main contribution is distinguished in two parts. Firstly, a new Norm-graph visualization approach to show laws and legal aspects in an easier understandable manner. And secondly, a Visual Legal Analytics approach to analyze legal conflicts e.g. on the basis of a business plans. The Visual Legal Analytics approach aims to provide a visual analysis interface to validate the automatically identified legal conflicts resulting from the pre-processing stage with a graphical overview about the derivation down to the law roots and the option to check the original sources to get further details. At the end analyst can so verify conflicts as relevant and resolve it by advancing e.g. the business plan or as irrelevant. An evaluation performed with lawyers has proofed our approach.

Link: https://dx.doi.org/10.1016/j.procs.2019.01.170

Leading Article to „Visual Analytics for Early Technology Trend Detection”

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Prof. Nazemi wrote an interesting leading article for the Research Center of Applied Informatics about his research toward visual analytics technologies for early technology trend detection.

In this article he stated the relevance of noticing early indicators for the detection of new and, above all, socially and economically important technologies that can provide scientific publications. For this purpose, he and his team developed a trend analytics solution that covers a data processing pipeline beginning with the collection and transformation of unstructured text to a final visual interactive interface that enables analysts to elaborate trends, leaders and further relevant business aspects.

Please note the link to the full article: https://fzai.h-da.de/2019/02/prof-dr-kawa-nazemi-visual-analytics-zur-technologiefrueherkennung/.

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