Visual Analytics for Analyzing Technological Trends from Text

Nazemi, Kawa; Burkhardt, Dirk

doi:10.1109/iv.2019.00041

Cited by 21 publications

(27 citation statements)

References 22 publications

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“…Their model contains query generation, data collection, data pre-processing, topic modeling, topic analysis and visualization, whereas only the query generation is assigned to be performed partially by humans [34]. The proposed process is similar to our early work [40] that investigates (without natural language processing) the same transformation process that was refined and enhanced with the emergence of trends [36]. Although one main outcome of their approach is visualization, a real analytical interaction design for visual representations is not introduced.…”

Section: Trend Mining From Textmentioning

confidence: 99%

“…Thus, the focus lies on answering the questions [40] toward the analysis of potential technological trends: "(1) when have technologies or topics emerged and when were they established, (2) who are the key players, (3) where are the key players and key locations, ( 4) what are the core topics (5) how will the technologies or topics probably evolve, and (6) which technologies or topics are relevant for a certain enterprise or application area?" [36,40] The question where basically introduced by Marchionini [30] toward exploratory searches. However, we expanded the question space and adopted them to the specific characteristics of technology and innovation management that includes early trend detection.…”

Section: General Processmentioning

confidence: 99%

“…Fig. 1 Our transformation process from raw data to interactive visual representations consisting of seven main steps (adapted from [36]). The transformation process is described in the following section more detailed In this section, we explain the processing exemplary based on the DBLP database.…”

Section: General Processmentioning

confidence: 99%

“…The initial data source for the transformation process is DBLP, which provides rudimentary metadata in the area of computer science and related areas. Each document can have a unique id, the Document Object Identifier (DOI), through these identifiers, the data-entities can be identified and enriched from several additional data sources [36,40]. The initial data is stored in relational database.…”

Section: Data Indexingmentioning

confidence: 99%

“…These aspects are crucial to understand the background of the introduced analytics system for technology management and foresight. Thereafter, based on our previous work [36], we introduce the transformation process of raw data to interactive visualizations that enables the process of decision making through detection of unknown patterns that is the main foundation of this work. Introducing this approach is crucial to understand the interaction design that is a dedicated approach for gathering innovations and technologies in early stages.…”

Section: Introductionmentioning

confidence: 99%

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Visual analytics for technology and innovation management

Nazemi

Burkhardt

Kock

2021

Multimed Tools Appl

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The awareness of emerging trends is essential for strategic decision making because technological trends can affect a firm’s competitiveness and market position. The rise of artificial intelligence methods allows gathering new insights and may support these decision-making processes. However, it is essential to keep the human in the loop of these complex analytical tasks, which, often lack an appropriate interaction design. Including special interactive designs for technology and innovation management is therefore essential for successfully analyzing emerging trends and using this information for strategic decision making. A combination of information visualization, trend mining and interaction design can support human users to explore, detect, and identify such trends. This paper enhances and extends a previously published first approach for integrating, enriching, mining, analyzing, identifying, and visualizing emerging trends for technology and innovation management. We introduce a novel interaction design by investigating the main ideas from technology and innovation management and enable a more appropriate interaction approach for technology foresight and innovation detection.

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Section: Trend Mining From Textmentioning

confidence: 99%

Section: General Processmentioning

confidence: 99%

Section: General Processmentioning

confidence: 99%

Section: Data Indexingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Visual analytics for technology and innovation management

Nazemi

Burkhardt

Kock

2021

Multimed Tools Appl

Self Cite

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A Visual Analytics Approach for Analyzing Technological Trends in Technology and Innovation Management

Nazemi

Burkhardt

2019

Advances in Visual Computing

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Visual Analytics provides with a combination of automated techniques and interactive visualizations huge analysis possibilities in technology and innovation management. Thereby not only the use of machine learning and data mining methods plays an important role. Due to the high interaction capabilities, it provides a more user-centered approach, where users are able to manipulate the entire analysis process and get the most valuable information. Existing Visual Analytics systems for Trend Analytics and technology and innovation management do not really make use of this unique feature and almost neglect the human in the analysis process.

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