Publications

With our publications we cover the most diverse research areas that arise in the field of man, task and technology. In addition to traditional Business Information Systems topics such as knowledge management and business process management, you will also find articles on current topics such as blended learning, cloud computing or smart grids. Use this overview to get an impression of the range and possibilities of research in Business Information Systems at the University of Duisburg-Essen.

Crowdsourcing Supported Context Detection for Improving Information Search Activities

Type of Publication: Article in Collected Edition

Crowdsourcing Supported Context Detection for Improving Information Search Activities

Author(s):
Beul, Michael; Eicker, Stefan
Editor:
International Academy, Research; Association, Industry
Title of Anthology:
Proceedings of The Seventh International Multi-Conference on Computing in the Global Information Technology
pages:
254-259
Publisher:
(to be published)
Publication Date:
2012
ISBN:
978-1-61208-202-8
Language:
EN
Citation:
Download BibTeX

Abstract

In environments that require the use of software applications, intervals where application functionality, tools, methods and technical systems are changing are often very short. The process of searching for relevant information about a specific issue is frequently executed and time-consuming. Because of the availability of a nearly unlimited amount of data, people spend a lot of time in formulating search queries and evaluating the relevance of the search results. In this paper, we describe a generic approach that improves the information search and retrieval process of different activities with the use of context information. One main goal is the integration of the crowd€ at different stages of this process by combining collective intelligence concepts with context-aware systems. This combination can be used to automatically reduce information overflow by filtering irrelevant data. Furthermore, a real-time information retrieval process without manual search im pulses is provided. We also present a prototype as a proof of concept in order to validate feasibility and benefit.