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2017 | OriginalPaper | Chapter

Professional Collaborative Information Seeking: Towards Traceable Search and Creative Sensemaking

Authors : Dominic Stange, Michael Kotzyba, Andreas Nürnberger

Published in: Transactions on Computational Collective Intelligence XXVI

Publisher: Springer International Publishing

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Abstract

The development of systems to support collaborative information seeking is a challenging issue for many reasons. Besides the expected support of an individual user in tasks such as keyword based query formulation, relevance judgement, result set organization and summarization, the smooth exchange of search related information within a team of users seeking information has to be supported. This imposes strong requirements on visualization and interaction to enable user to easily trace and interpret the search activities of other team members and to jointly make sense of gathered information in order to satisfy an initial information need. In this paper, we briefly motivate specific requirements with a focus on collaborative professional search, review existing work and propose an adapted model for professional collaborative information seeking. In addition, we discuss the results of a use case study and point out major challenges in professional collaborative search. Finally, we briefly introduce a system that has been specifically developed to support collaborative technology search.

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next chapter Exploiting Linguistic Analysis on URLs for Recommending Web Pages: A Comparative Study
Footnotes
1
What search engine is used does not affect the visualization of the Search Map, so long as the query can be determined by our browser extension. Thus, even Intranet search engines of companies can be incorporated in the map.
 
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Metadata
Title
Professional Collaborative Information Seeking: Towards Traceable Search and Creative Sensemaking
Authors
Dominic Stange
Michael Kotzyba
Andreas Nürnberger
Copyright Year
2017
Book
Transactions on Computational Collective Intelligence XXVI

Print ISBN: 978-3-319-59267-1

Electronic ISBN: 978-3-319-59268-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-59268-8_1

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