research-article

When experts collaborate: sharing search and domain expertise within an organization

Authors:

Dominic Stange,

Andreas NürnbergerAuthors Info & Claims

i-KNOW '15: Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business

Article No.: 45, Pages 1 - 4

https://doi.org/10.1145/2809563.2809582

Published: 21 October 2015 Publication History

Abstract

Data about how individuals explore an information space and collect facts about their topic of interest is valuable to analyze but difficult to come by. In this paper we outline how this data can be captured in a search task with the help of a special search environment. Domain experts sharing this data in an organization can enhance their collaborative search experience and benefit from each others' search and domain expertise. Our approach facilitates interaction mechanisms of an interface and data mining methods. We also lay out a business process where the system is applied.

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Cited By

Buda Ade Place Hansen ERieser AGiancola EPracchi VMauri SMarincioni VGori VFouseki KPolo López CLo Faro AEgusquiza AHaas FLeonardi EHerrera-Avellanosa D(2021)Conservation-Compatible Retrofit Solutions in Historic Buildings: An Integrated ApproachSustainability10.3390/su1305292713:5(2927)Online publication date: 8-Mar-2021
https://doi.org/10.3390/su13052927
Stange DKotzyba MNürnberger A(2017)Professional Collaborative Information Seeking: Towards Traceable Search and Creative SensemakingTransactions on Computational Collective Intelligence XXVI10.1007/978-3-319-59268-8_1(1-25)Online publication date: 15-Jun-2017
https://doi.org/10.1007/978-3-319-59268-8_1

Index Terms

When experts collaborate: sharing search and domain expertise within an organization
1. Information systems
  1. Information retrieval
    1. Specialized information retrieval
      1. Environment-specific retrieval
        Enterprise search
    2. Users and interactive retrieval
      1. Collaborative search

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cover image ACM Other conferences

i-KNOW '15: Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business

October 2015

314 pages

ISBN:9781450337212

DOI:10.1145/2809563

General Chairs:
Stefanie Lindstaedt
Know-Center Graz, Austria & Graz University of Technology
,
Tobias Ley
Tallin University, Estonia
,
Harald Sack
Hasso-Platter Institute for IT Systems Engineering, Germany

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 October 2015

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i-KNOW '15

i-KNOW '15: 15th International Conference on Knowledge Technologies and Data-Driven Business

October 21 - 22, 2015

Graz, Austria

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i-KNOW '15 Paper Acceptance Rate 25 of 78 submissions, 32%;

Overall Acceptance Rate 77 of 238 submissions, 32%

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Cited By

Buda Ade Place Hansen ERieser AGiancola EPracchi VMauri SMarincioni VGori VFouseki KPolo López CLo Faro AEgusquiza AHaas FLeonardi EHerrera-Avellanosa D(2021)Conservation-Compatible Retrofit Solutions in Historic Buildings: An Integrated ApproachSustainability10.3390/su1305292713:5(2927)Online publication date: 8-Mar-2021
https://doi.org/10.3390/su13052927
Stange DKotzyba MNürnberger A(2017)Professional Collaborative Information Seeking: Towards Traceable Search and Creative SensemakingTransactions on Computational Collective Intelligence XXVI10.1007/978-3-319-59268-8_1(1-25)Online publication date: 15-Jun-2017
https://doi.org/10.1007/978-3-319-59268-8_1

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