What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Information technology
Konstantinos Tarabanis mainly investigates Knowledge management, Computer vision, Artificial intelligence, World Wide Web and Semantic interoperability.
His Knowledge management research is multidisciplinary, incorporating elements of Process modeling, Scope, Benchmarking, Added value and Information and Communications Technology.
His Robot research extends to Computer vision, which is thematically connected.
His Artificial intelligence research includes themes of Focus and Regular polygon.
His research integrates issues of Data modeling and Cloud computing in his study of Semantic interoperability.
His Machine vision research includes elements of Image sensor, Robotics and Task.
His most cited work include:
- A survey of sensor planning in computer vision (408 citations)
- The MVP sensor planning system for robotic vision tasks (148 citations)
- Understanding the predictive power of social media (129 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Knowledge management, World Wide Web, Data science, Linked data and Domain.
The study incorporates disciplines such as Information and Communications Technology, Enterprise architecture and Interoperability in addition to Knowledge management.
His study connects Ontology and World Wide Web.
His Data science research incorporates themes from Data modeling, Visualization and Open data.
His Open government study in the realm of Open data interacts with subjects such as Data cube.
His studies in Domain integrate themes in fields like Object and Service.
He most often published in these fields:
- Knowledge management (25.34%)
- World Wide Web (22.62%)
- Data science (12.22%)
What were the highlights of his more recent work (between 2016-2021)?
- Open data (9.50%)
- Data science (12.22%)
- Linked data (10.86%)
In recent papers he was focusing on the following fields of study:
Konstantinos Tarabanis mainly focuses on Open data, Data science, Linked data, Learning analytics and Problem-based learning.
His Open government study, which is part of a larger body of work in Open data, is frequently linked to Multidimensional data, bridging the gap between disciplines.
His Data science study combines topics in areas such as E-Government and Interoperability.
His Linked data study is concerned with the larger field of World Wide Web.
His Learning analytics research is multidisciplinary, incorporating perspectives in Peer learning, Bespoke, Deliverable and Knowledge management.
His Knowledge management study integrates concerns from other disciplines, such as Lifelong learning, Enterprise architecture and Competitive advantage.
Between 2016 and 2021, his most popular works were:
- On modeling linked open statistical data (10 citations)
- A Framework for Data-Driven Public Service Co-production (10 citations)
- ICT tools for creating, expanding and exploiting statistical linked Open Data (10 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Information technology
Konstantinos Tarabanis mostly deals with Linked data, Data science, Open data, Public administration and Public service.
His Linked data study is related to the wider topic of World Wide Web.
The concepts of his World Wide Web study are interwoven with issues in Visualization and Internet privacy.
His Data science research is multidisciplinary, relying on both Data modeling, Ict tools, Task and Delphi method.
Much of his study explores Service provider relationship to Knowledge management.
His Knowledge management research includes themes of Service design, Service and Information system.
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